fxevangelinenyu commited on
Commit
4b2e361
·
verified ·
1 Parent(s): 8b2ec66

upload rlrb_bs128_nobuf (6/8)

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. .gitattributes +4 -0
  2. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_400/model-00001-of-00002.safetensors +3 -0
  3. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_400/model-00002-of-00002.safetensors +3 -0
  4. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_400/model.safetensors.index.json +443 -0
  5. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_400/special_tokens_map.json +31 -0
  6. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_400/tokenizer.json +3 -0
  7. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_400/tokenizer_config.json +207 -0
  8. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_400/vocab.json +0 -0
  9. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_450/added_tokens.json +24 -0
  10. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_450/chat_template.jinja +54 -0
  11. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_450/config.json +67 -0
  12. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_450/eval_metrics.json +1672 -0
  13. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_450/generation_config.json +6 -0
  14. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_450/merges.txt +0 -0
  15. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_450/model-00001-of-00002.safetensors +3 -0
  16. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_450/model-00002-of-00002.safetensors +3 -0
  17. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_450/model.safetensors.index.json +443 -0
  18. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_450/special_tokens_map.json +31 -0
  19. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_450/tokenizer.json +3 -0
  20. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_450/tokenizer_config.json +207 -0
  21. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_450/vocab.json +0 -0
  22. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_50/added_tokens.json +24 -0
  23. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_50/chat_template.jinja +54 -0
  24. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_50/config.json +67 -0
  25. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_50/eval_metrics.json +1661 -0
  26. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_50/generation_config.json +6 -0
  27. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_50/merges.txt +0 -0
  28. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_50/model-00001-of-00002.safetensors +3 -0
  29. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_50/model-00002-of-00002.safetensors +3 -0
  30. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_50/model.safetensors.index.json +443 -0
  31. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_50/special_tokens_map.json +31 -0
  32. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_50/tokenizer.json +3 -0
  33. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_50/tokenizer_config.json +207 -0
  34. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_50/vocab.json +0 -0
  35. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_500/added_tokens.json +24 -0
  36. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_500/chat_template.jinja +54 -0
  37. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_500/config.json +67 -0
  38. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_500/eval_metrics.json +1672 -0
  39. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_500/generation_config.json +6 -0
  40. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_500/merges.txt +0 -0
  41. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_500/model-00001-of-00002.safetensors +3 -0
  42. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_500/model-00002-of-00002.safetensors +3 -0
  43. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_500/model.safetensors.index.json +443 -0
  44. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_500/special_tokens_map.json +31 -0
  45. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_500/tokenizer.json +3 -0
  46. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_500/tokenizer_config.json +207 -0
  47. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_500/vocab.json +0 -0
  48. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_550/added_tokens.json +24 -0
  49. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_550/chat_template.jinja +54 -0
  50. rlrb_bs128_nobuf/checkpoints_hf_format/global_step_550/config.json +67 -0
.gitattributes CHANGED
@@ -116,3 +116,7 @@ rlrb_bs128_nobuf/checkpoints_hf_format/global_step_2200/tokenizer.json filter=lf
116
  rlrb_bs128_nobuf/checkpoints_hf_format/global_step_250/tokenizer.json filter=lfs diff=lfs merge=lfs -text
117
  rlrb_bs128_nobuf/checkpoints_hf_format/global_step_300/tokenizer.json filter=lfs diff=lfs merge=lfs -text
118
  rlrb_bs128_nobuf/checkpoints_hf_format/global_step_350/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
116
  rlrb_bs128_nobuf/checkpoints_hf_format/global_step_250/tokenizer.json filter=lfs diff=lfs merge=lfs -text
117
  rlrb_bs128_nobuf/checkpoints_hf_format/global_step_300/tokenizer.json filter=lfs diff=lfs merge=lfs -text
118
  rlrb_bs128_nobuf/checkpoints_hf_format/global_step_350/tokenizer.json filter=lfs diff=lfs merge=lfs -text
119
+ rlrb_bs128_nobuf/checkpoints_hf_format/global_step_400/tokenizer.json filter=lfs diff=lfs merge=lfs -text
120
+ rlrb_bs128_nobuf/checkpoints_hf_format/global_step_450/tokenizer.json filter=lfs diff=lfs merge=lfs -text
121
+ rlrb_bs128_nobuf/checkpoints_hf_format/global_step_50/tokenizer.json filter=lfs diff=lfs merge=lfs -text
122
+ rlrb_bs128_nobuf/checkpoints_hf_format/global_step_500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_400/model-00001-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:903171421aa15f669439eb47030b28ea0611a63da57c9482d6da72cef0a03d50
3
+ size 4963864512
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_400/model-00002-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5507aa1832395bead4ef8ecec53be4596fef5d10e44bfb0b7c77a4c6d9047ecc
3
+ size 1830392536
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_400/model.safetensors.index.json ADDED
@@ -0,0 +1,443 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_parameters": 3397103616,
4
+ "total_size": 6794207232
5
+ },
6
+ "weight_map": {
7
+ "lm_head.weight": "model-00001-of-00002.safetensors",
8
+ "model.embed_tokens.weight": "model-00002-of-00002.safetensors",
9
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
10
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
11
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
12
+ "model.layers.0.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
13
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
14
+ "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
15
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
16
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
17
+ "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
18
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
19
+ "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
20
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
21
+ "model.layers.1.input_layernorm.weight": "model-00002-of-00002.safetensors",
22
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
23
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
24
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
25
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
26
+ "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
27
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
28
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
29
+ "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
30
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
31
+ "model.layers.1.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
32
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
33
+ "model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
34
+ "model.layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
35
+ "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
36
+ "model.layers.10.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
37
+ "model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
38
+ "model.layers.10.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
39
+ "model.layers.10.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
40
+ "model.layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
41
+ "model.layers.10.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
42
+ "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
43
+ "model.layers.10.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
44
+ "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
45
+ "model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
46
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
47
+ "model.layers.11.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
48
+ "model.layers.11.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
49
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
50
+ "model.layers.11.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
51
+ "model.layers.11.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
52
+ "model.layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
53
+ "model.layers.11.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
54
+ "model.layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
55
+ "model.layers.11.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
56
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
57
+ "model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
58
+ "model.layers.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
59
+ "model.layers.12.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
60
+ "model.layers.12.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
61
+ "model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
62
+ "model.layers.12.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
63
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
64
+ "model.layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
65
+ "model.layers.12.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
66
+ "model.layers.12.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
67
+ "model.layers.12.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
68
+ "model.layers.12.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
69
+ "model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
70
+ "model.layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
71
+ "model.layers.13.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
72
+ "model.layers.13.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
73
+ "model.layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
74
+ "model.layers.13.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
75
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
76
+ "model.layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
77
+ "model.layers.13.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
78
+ "model.layers.13.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
79
+ "model.layers.13.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
80
+ "model.layers.13.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
81
+ "model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
82
+ "model.layers.14.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
83
+ "model.layers.14.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
84
+ "model.layers.14.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
85
+ "model.layers.14.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
86
+ "model.layers.14.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
87
+ "model.layers.14.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
88
+ "model.layers.14.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
89
+ "model.layers.14.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
90
+ "model.layers.14.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
91
+ "model.layers.14.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
92
+ "model.layers.14.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
93
+ "model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
94
+ "model.layers.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
95
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
96
+ "model.layers.15.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
97
+ "model.layers.15.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
98
+ "model.layers.15.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
99
+ "model.layers.15.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
100
+ "model.layers.15.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
101
+ "model.layers.15.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
102
+ "model.layers.15.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
103
+ "model.layers.15.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
104
+ "model.layers.15.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
105
+ "model.layers.16.input_layernorm.weight": "model-00002-of-00002.safetensors",
106
+ "model.layers.16.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
107
+ "model.layers.16.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
108
+ "model.layers.16.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
109
+ "model.layers.16.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
110
+ "model.layers.16.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
111
+ "model.layers.16.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
112
+ "model.layers.16.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
113
+ "model.layers.16.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
114
+ "model.layers.16.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
115
+ "model.layers.16.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
116
+ "model.layers.16.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
117
+ "model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
118
+ "model.layers.17.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
119
+ "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
120
+ "model.layers.17.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
121
+ "model.layers.17.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
122
+ "model.layers.17.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
123
+ "model.layers.17.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
124
+ "model.layers.17.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
125
+ "model.layers.17.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
126
+ "model.layers.17.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
127
+ "model.layers.17.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
128
+ "model.layers.17.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
129
+ "model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
130
+ "model.layers.18.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
131
+ "model.layers.18.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
132
+ "model.layers.18.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
133
+ "model.layers.18.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
134
+ "model.layers.18.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
135
+ "model.layers.18.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
136
+ "model.layers.18.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
137
+ "model.layers.18.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
138
+ "model.layers.18.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
139
+ "model.layers.18.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
140
+ "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
141
+ "model.layers.19.input_layernorm.weight": "model-00002-of-00002.safetensors",
142
+ "model.layers.19.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
143
+ "model.layers.19.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
144
+ "model.layers.19.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
145
+ "model.layers.19.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
146
+ "model.layers.19.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
147
+ "model.layers.19.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
148
+ "model.layers.19.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
149
+ "model.layers.19.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
150
+ "model.layers.19.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
151
+ "model.layers.19.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
152
+ "model.layers.19.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
153
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
154
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
155
+ "model.layers.2.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
156
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
157
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
158
+ "model.layers.2.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
159
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
160
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
161
+ "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
162
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
163
+ "model.layers.2.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
164
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
165
+ "model.layers.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
166
+ "model.layers.20.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
167
+ "model.layers.20.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
168
+ "model.layers.20.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
169
+ "model.layers.20.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
170
+ "model.layers.20.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
171
+ "model.layers.20.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
172
+ "model.layers.20.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
173
+ "model.layers.20.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
174
+ "model.layers.20.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
175
+ "model.layers.20.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
176
+ "model.layers.20.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
177
+ "model.layers.21.input_layernorm.weight": "model-00001-of-00002.safetensors",
178
+ "model.layers.21.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
179
+ "model.layers.21.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
180
+ "model.layers.21.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
181
+ "model.layers.21.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
182
+ "model.layers.21.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
183
+ "model.layers.21.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
184
+ "model.layers.21.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
185
+ "model.layers.21.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
186
+ "model.layers.21.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
187
+ "model.layers.21.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
188
+ "model.layers.21.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
189
+ "model.layers.22.input_layernorm.weight": "model-00002-of-00002.safetensors",
190
+ "model.layers.22.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
191
+ "model.layers.22.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
192
+ "model.layers.22.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
193
+ "model.layers.22.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
194
+ "model.layers.22.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
195
+ "model.layers.22.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
196
+ "model.layers.22.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
197
+ "model.layers.22.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
198
+ "model.layers.22.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
199
+ "model.layers.22.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
200
+ "model.layers.22.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
201
+ "model.layers.23.input_layernorm.weight": "model-00001-of-00002.safetensors",
202
+ "model.layers.23.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
203
+ "model.layers.23.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
204
+ "model.layers.23.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
205
+ "model.layers.23.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
206
+ "model.layers.23.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
207
+ "model.layers.23.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
208
+ "model.layers.23.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
209
+ "model.layers.23.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
210
+ "model.layers.23.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
211
+ "model.layers.23.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
212
+ "model.layers.23.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
213
+ "model.layers.24.input_layernorm.weight": "model-00001-of-00002.safetensors",
214
+ "model.layers.24.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
215
+ "model.layers.24.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
216
+ "model.layers.24.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
217
+ "model.layers.24.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
218
+ "model.layers.24.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
219
+ "model.layers.24.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
220
+ "model.layers.24.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
221
+ "model.layers.24.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
222
+ "model.layers.24.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
223
+ "model.layers.24.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
224
+ "model.layers.24.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
225
+ "model.layers.25.input_layernorm.weight": "model-00001-of-00002.safetensors",
226
+ "model.layers.25.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
227
+ "model.layers.25.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
228
+ "model.layers.25.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
229
+ "model.layers.25.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
230
+ "model.layers.25.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
231
+ "model.layers.25.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
232
+ "model.layers.25.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
233
+ "model.layers.25.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
234
+ "model.layers.25.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
235
+ "model.layers.25.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
236
+ "model.layers.25.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
237
+ "model.layers.26.input_layernorm.weight": "model-00001-of-00002.safetensors",
238
+ "model.layers.26.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
239
+ "model.layers.26.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
240
+ "model.layers.26.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
241
+ "model.layers.26.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
242
+ "model.layers.26.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
243
+ "model.layers.26.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
244
+ "model.layers.26.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
245
+ "model.layers.26.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
246
+ "model.layers.26.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
247
+ "model.layers.26.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
248
+ "model.layers.26.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
249
+ "model.layers.27.input_layernorm.weight": "model-00001-of-00002.safetensors",
250
+ "model.layers.27.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
251
+ "model.layers.27.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
252
+ "model.layers.27.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
253
+ "model.layers.27.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
254
+ "model.layers.27.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
255
+ "model.layers.27.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
256
+ "model.layers.27.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
257
+ "model.layers.27.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
258
+ "model.layers.27.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
259
+ "model.layers.27.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
260
+ "model.layers.27.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
261
+ "model.layers.28.input_layernorm.weight": "model-00001-of-00002.safetensors",
262
+ "model.layers.28.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
263
+ "model.layers.28.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
264
+ "model.layers.28.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
265
+ "model.layers.28.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
266
+ "model.layers.28.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
267
+ "model.layers.28.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
268
+ "model.layers.28.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
269
+ "model.layers.28.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
270
+ "model.layers.28.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
271
+ "model.layers.28.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
272
+ "model.layers.28.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
273
+ "model.layers.29.input_layernorm.weight": "model-00001-of-00002.safetensors",
274
+ "model.layers.29.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
275
+ "model.layers.29.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
276
+ "model.layers.29.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
277
+ "model.layers.29.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
278
+ "model.layers.29.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
279
+ "model.layers.29.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
280
+ "model.layers.29.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
281
+ "model.layers.29.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
282
+ "model.layers.29.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
283
+ "model.layers.29.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
284
+ "model.layers.29.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
285
+ "model.layers.3.input_layernorm.weight": "model-00002-of-00002.safetensors",
286
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
287
+ "model.layers.3.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
288
+ "model.layers.3.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
289
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
290
+ "model.layers.3.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
291
+ "model.layers.3.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
292
+ "model.layers.3.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
293
+ "model.layers.3.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
294
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
295
+ "model.layers.3.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
296
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
297
+ "model.layers.30.input_layernorm.weight": "model-00001-of-00002.safetensors",
298
+ "model.layers.30.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
299
+ "model.layers.30.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
300
+ "model.layers.30.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
301
+ "model.layers.30.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
302
+ "model.layers.30.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
303
+ "model.layers.30.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
304
+ "model.layers.30.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
305
+ "model.layers.30.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
306
+ "model.layers.30.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
307
+ "model.layers.30.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
308
+ "model.layers.30.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
309
+ "model.layers.31.input_layernorm.weight": "model-00001-of-00002.safetensors",
310
+ "model.layers.31.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
311
+ "model.layers.31.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
312
+ "model.layers.31.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
313
+ "model.layers.31.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
314
+ "model.layers.31.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
315
+ "model.layers.31.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
316
+ "model.layers.31.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
317
+ "model.layers.31.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
318
+ "model.layers.31.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
319
+ "model.layers.31.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
320
+ "model.layers.31.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
321
+ "model.layers.32.input_layernorm.weight": "model-00001-of-00002.safetensors",
322
+ "model.layers.32.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
323
+ "model.layers.32.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
324
+ "model.layers.32.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
325
+ "model.layers.32.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
326
+ "model.layers.32.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
327
+ "model.layers.32.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
328
+ "model.layers.32.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
329
+ "model.layers.32.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
330
+ "model.layers.32.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
331
+ "model.layers.32.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
332
+ "model.layers.32.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
333
+ "model.layers.33.input_layernorm.weight": "model-00001-of-00002.safetensors",
334
+ "model.layers.33.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
335
+ "model.layers.33.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
336
+ "model.layers.33.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
337
+ "model.layers.33.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
338
+ "model.layers.33.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
339
+ "model.layers.33.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
340
+ "model.layers.33.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
341
+ "model.layers.33.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
342
+ "model.layers.33.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
343
+ "model.layers.33.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
344
+ "model.layers.33.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
345
+ "model.layers.34.input_layernorm.weight": "model-00002-of-00002.safetensors",
346
+ "model.layers.34.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
347
+ "model.layers.34.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
348
+ "model.layers.34.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
349
+ "model.layers.34.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
350
+ "model.layers.34.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
351
+ "model.layers.34.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
352
+ "model.layers.34.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
353
+ "model.layers.34.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
354
+ "model.layers.34.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
355
+ "model.layers.34.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
356
+ "model.layers.34.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
357
+ "model.layers.35.input_layernorm.weight": "model-00002-of-00002.safetensors",
358
+ "model.layers.35.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
359
+ "model.layers.35.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
360
+ "model.layers.35.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
361
+ "model.layers.35.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
362
+ "model.layers.35.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
363
+ "model.layers.35.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
364
+ "model.layers.35.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
365
+ "model.layers.35.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
366
+ "model.layers.35.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
367
+ "model.layers.35.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
368
+ "model.layers.35.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
369
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
370
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
371
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
372
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
373
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
374
+ "model.layers.4.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
375
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
376
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
377
+ "model.layers.4.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
378
+ "model.layers.4.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
379
+ "model.layers.4.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
380
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
381
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
382
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
383
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
384
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
385
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
386
+ "model.layers.5.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
387
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
388
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
389
+ "model.layers.5.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
390
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
391
+ "model.layers.5.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
392
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
393
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
394
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
395
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
396
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
397
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
398
+ "model.layers.6.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
399
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
400
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
401
+ "model.layers.6.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
402
+ "model.layers.6.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
403
+ "model.layers.6.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
404
+ "model.layers.6.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
405
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
406
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
407
+ "model.layers.7.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
408
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
409
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
410
+ "model.layers.7.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
411
+ "model.layers.7.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
412
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
413
+ "model.layers.7.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
414
+ "model.layers.7.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
415
+ "model.layers.7.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
416
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
417
+ "model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
418
+ "model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
419
+ "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
420
+ "model.layers.8.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
421
+ "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
422
+ "model.layers.8.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
423
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
424
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
425
+ "model.layers.8.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
426
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
427
+ "model.layers.8.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
428
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
429
+ "model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
430
+ "model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
431
+ "model.layers.9.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
432
+ "model.layers.9.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
433
+ "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
434
+ "model.layers.9.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
435
+ "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
436
+ "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
437
+ "model.layers.9.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
438
+ "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
439
+ "model.layers.9.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
440
+ "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
441
+ "model.norm.weight": "model-00001-of-00002.safetensors"
442
+ }
443
+ }
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_400/special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|endoftext|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_400/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
3
+ size 11421896
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_400/tokenizer_config.json ADDED
@@ -0,0 +1,207 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ }
181
+ },
182
+ "additional_special_tokens": [
183
+ "<|im_start|>",
184
+ "<|im_end|>",
185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "clean_up_tokenization_spaces": false,
199
+ "eos_token": "<|endoftext|>",
200
+ "errors": "replace",
201
+ "extra_special_tokens": {},
202
+ "model_max_length": 131072,
203
+ "pad_token": "<|endoftext|>",
204
+ "split_special_tokens": false,
205
+ "tokenizer_class": "Qwen2Tokenizer",
206
+ "unk_token": null
207
+ }
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_400/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_450/added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_450/chat_template.jinja ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0]['role'] == 'system' %}
4
+ {{- messages[0]['content'] }}
5
+ {%- else %}
6
+ {{- 'You are a helpful assistant.' }}
7
+ {%- endif %}
8
+ {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
9
+ {%- for tool in tools %}
10
+ {{- "\n" }}
11
+ {{- tool | tojson }}
12
+ {%- endfor %}
13
+ {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
14
+ {%- else %}
15
+ {%- if messages[0]['role'] == 'system' %}
16
+ {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
17
+ {%- else %}
18
+ {{- '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}
19
+ {%- endif %}
20
+ {%- endif %}
21
+ {%- for message in messages %}
22
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
23
+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
24
+ {%- elif message.role == "assistant" %}
25
+ {{- '<|im_start|>' + message.role }}
26
+ {%- if message.content %}
27
+ {{- '\n' + message.content }}
28
+ {%- endif %}
29
+ {%- for tool_call in message.tool_calls %}
30
+ {%- if tool_call.function is defined %}
31
+ {%- set tool_call = tool_call.function %}
32
+ {%- endif %}
33
+ {{- '\n<tool_call>\n{"name": "' }}
34
+ {{- tool_call.name }}
35
+ {{- '", "arguments": ' }}
36
+ {{- tool_call.arguments | tojson }}
37
+ {{- '}\n</tool_call>' }}
38
+ {%- endfor %}
39
+ {{- '<|im_end|>\n' }}
40
+ {%- elif message.role == "tool" %}
41
+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
42
+ {{- '<|im_start|>user' }}
43
+ {%- endif %}
44
+ {{- '\n<tool_response>\n' }}
45
+ {{- message.content }}
46
+ {{- '\n</tool_response>' }}
47
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
48
+ {{- '<|im_end|>\n' }}
49
+ {%- endif %}
50
+ {%- endif %}
51
+ {%- endfor %}
52
+ {%- if add_generation_prompt %}
53
+ {{- '<|im_start|>assistant\n' }}
54
+ {%- endif %}
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_450/config.json ADDED
@@ -0,0 +1,67 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen2ForCausalLM"
4
+ ],
5
+ "attention_dropout": 0.0,
6
+ "dtype": "bfloat16",
7
+ "eos_token_id": 151643,
8
+ "hidden_act": "silu",
9
+ "hidden_size": 2048,
10
+ "initializer_range": 0.02,
11
+ "intermediate_size": 11008,
12
+ "layer_types": [
13
+ "full_attention",
14
+ "full_attention",
15
+ "full_attention",
16
+ "full_attention",
17
+ "full_attention",
18
+ "full_attention",
19
+ "full_attention",
20
+ "full_attention",
21
+ "full_attention",
22
+ "full_attention",
23
+ "full_attention",
24
+ "full_attention",
25
+ "full_attention",
26
+ "full_attention",
27
+ "full_attention",
28
+ "full_attention",
29
+ "full_attention",
30
+ "full_attention",
31
+ "full_attention",
32
+ "full_attention",
33
+ "full_attention",
34
+ "full_attention",
35
+ "full_attention",
36
+ "full_attention",
37
+ "full_attention",
38
+ "full_attention",
39
+ "full_attention",
40
+ "full_attention",
41
+ "full_attention",
42
+ "full_attention",
43
+ "full_attention",
44
+ "full_attention",
45
+ "full_attention",
46
+ "full_attention",
47
+ "full_attention",
48
+ "full_attention"
49
+ ],
50
+ "max_position_embeddings": 32768,
51
+ "max_window_layers": 36,
52
+ "model_type": "qwen2",
53
+ "num_attention_heads": 16,
54
+ "num_hidden_layers": 36,
55
+ "num_key_value_heads": 2,
56
+ "pad_token_id": 151643,
57
+ "rms_norm_eps": 1e-06,
58
+ "rope_scaling": null,
59
+ "rope_theta": 1000000.0,
60
+ "sliding_window": null,
61
+ "tie_word_embeddings": true,
62
+ "transformers_version": "4.57.6",
63
+ "use_cache": true,
64
+ "use_mrope": false,
65
+ "use_sliding_window": false,
66
+ "vocab_size": 151936
67
+ }
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_450/eval_metrics.json ADDED
@@ -0,0 +1,1672 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "global_step": 450,
3
+ "ckpt_dir": "/mnt/mystorageoutput/projects/jy_intern/amlt-results/7213899235.25497-028989ec-3fee/qwen3b_kk_rlrb_bs128_nobuf/checkpoints_hf_format/global_step_450",
4
+ "rollouts_dir": "/mnt/mystorageoutput/projects/jy_intern/amlt-results/7213899235.25497-028989ec-3fee/qwen3b_kk_rlrb_bs128_nobuf/rollouts/training",
5
+ "init_model_path": "Qwen/Qwen2.5-3B",
6
+ "prev_step": null,
7
+ "positive_score": 1.0,
8
+ "negative_score": 0.0,
9
+ "history_step_stride": 25,
10
+ "max_samples_per_class": 0,
11
+ "in_batch": {
12
+ "num_records": 1024,
13
+ "source_steps": [
14
+ 450
15
+ ],
16
+ "num_source_steps": 1,
17
+ "num_positives_pre_cap": 487,
18
+ "num_negatives_pre_cap": 537,
19
+ "positive": {
20
+ "loss": 0.2533471599983494,
21
+ "token_entropy": 0.02539022568087056,
22
+ "num_supervised_tokens": 179612,
23
+ "kl_from_init": 2.490446183425723,
24
+ "kl_to_init": 0.31756462356448106,
25
+ "dead_units": {
26
+ "layer_0": {
27
+ "intermediate_size": 11008,
28
+ "dead_count": 0,
29
+ "dead_fraction": 0.0,
30
+ "mean_activation_freq": 0.9233526810448064,
31
+ "min_activation_freq": 0.7762231922143287
32
+ },
33
+ "layer_1": {
34
+ "intermediate_size": 11008,
35
+ "dead_count": 8833,
36
+ "dead_fraction": 0.8024164244186046,
37
+ "mean_activation_freq": 0.14711582687167662,
38
+ "min_activation_freq": 0.0
39
+ },
40
+ "layer_2": {
41
+ "intermediate_size": 11008,
42
+ "dead_count": 3703,
43
+ "dead_fraction": 0.3363917151162791,
44
+ "mean_activation_freq": 0.16649858829258057,
45
+ "min_activation_freq": 0.0
46
+ },
47
+ "layer_3": {
48
+ "intermediate_size": 11008,
49
+ "dead_count": 439,
50
+ "dead_fraction": 0.03988008720930233,
51
+ "mean_activation_freq": 0.3883142773251476,
52
+ "min_activation_freq": 0.0
53
+ },
54
+ "layer_4": {
55
+ "intermediate_size": 11008,
56
+ "dead_count": 20,
57
+ "dead_fraction": 0.001816860465116279,
58
+ "mean_activation_freq": 0.5580874027668297,
59
+ "min_activation_freq": 0.0
60
+ },
61
+ "layer_5": {
62
+ "intermediate_size": 11008,
63
+ "dead_count": 12,
64
+ "dead_fraction": 0.0010901162790697674,
65
+ "mean_activation_freq": 0.7176605240304165,
66
+ "min_activation_freq": 0.0
67
+ },
68
+ "layer_6": {
69
+ "intermediate_size": 11008,
70
+ "dead_count": 0,
71
+ "dead_fraction": 0.0,
72
+ "mean_activation_freq": 0.8687763475720792,
73
+ "min_activation_freq": 0.09829521412823197
74
+ },
75
+ "layer_7": {
76
+ "intermediate_size": 11008,
77
+ "dead_count": 0,
78
+ "dead_fraction": 0.0,
79
+ "mean_activation_freq": 0.882762873991722,
80
+ "min_activation_freq": 0.03545976883504443
81
+ },
82
+ "layer_8": {
83
+ "intermediate_size": 11008,
84
+ "dead_count": 0,
85
+ "dead_fraction": 0.0,
86
+ "mean_activation_freq": 0.9408325847950221,
87
+ "min_activation_freq": 0.09075674231120415
88
+ },
89
+ "layer_9": {
90
+ "intermediate_size": 11008,
91
+ "dead_count": 0,
92
+ "dead_fraction": 0.0,
93
+ "mean_activation_freq": 0.9475764477128412,
94
+ "min_activation_freq": 0.24895329933412022
95
+ },
96
+ "layer_10": {
97
+ "intermediate_size": 11008,
98
+ "dead_count": 0,
99
+ "dead_fraction": 0.0,
100
+ "mean_activation_freq": 0.972726737149723,
101
+ "min_activation_freq": 0.6462040398191657
102
+ },
103
+ "layer_11": {
104
+ "intermediate_size": 11008,
105
+ "dead_count": 0,
106
+ "dead_fraction": 0.0,
107
+ "mean_activation_freq": 0.9849858152937483,
108
+ "min_activation_freq": 0.9322651047814178
109
+ },
110
+ "layer_12": {
111
+ "intermediate_size": 11008,
112
+ "dead_count": 0,
113
+ "dead_fraction": 0.0,
114
+ "mean_activation_freq": 0.9867125175531792,
115
+ "min_activation_freq": 0.9198049128120616
116
+ },
117
+ "layer_13": {
118
+ "intermediate_size": 11008,
119
+ "dead_count": 0,
120
+ "dead_fraction": 0.0,
121
+ "mean_activation_freq": 0.9806914467058256,
122
+ "min_activation_freq": 0.9025176491548449
123
+ },
124
+ "layer_14": {
125
+ "intermediate_size": 11008,
126
+ "dead_count": 0,
127
+ "dead_fraction": 0.0,
128
+ "mean_activation_freq": 0.9826898677855794,
129
+ "min_activation_freq": 0.894288800302875
130
+ },
131
+ "layer_15": {
132
+ "intermediate_size": 11008,
133
+ "dead_count": 0,
134
+ "dead_fraction": 0.0,
135
+ "mean_activation_freq": 0.9798225614004398,
136
+ "min_activation_freq": 0.9006079771952876
137
+ },
138
+ "layer_16": {
139
+ "intermediate_size": 11008,
140
+ "dead_count": 0,
141
+ "dead_fraction": 0.0,
142
+ "mean_activation_freq": 0.9791505576061824,
143
+ "min_activation_freq": 0.9075006124312407
144
+ },
145
+ "layer_17": {
146
+ "intermediate_size": 11008,
147
+ "dead_count": 0,
148
+ "dead_fraction": 0.0,
149
+ "mean_activation_freq": 0.9790451169428068,
150
+ "min_activation_freq": 0.9199329666169298
151
+ },
152
+ "layer_18": {
153
+ "intermediate_size": 11008,
154
+ "dead_count": 0,
155
+ "dead_fraction": 0.0,
156
+ "mean_activation_freq": 0.9795450307346936,
157
+ "min_activation_freq": 0.923056365944369
158
+ },
159
+ "layer_19": {
160
+ "intermediate_size": 11008,
161
+ "dead_count": 0,
162
+ "dead_fraction": 0.0,
163
+ "mean_activation_freq": 0.9767220908172733,
164
+ "min_activation_freq": 0.9127786562145068
165
+ },
166
+ "layer_20": {
167
+ "intermediate_size": 11008,
168
+ "dead_count": 0,
169
+ "dead_fraction": 0.0,
170
+ "mean_activation_freq": 0.9793042541369211,
171
+ "min_activation_freq": 0.9042714295258669
172
+ },
173
+ "layer_21": {
174
+ "intermediate_size": 11008,
175
+ "dead_count": 0,
176
+ "dead_fraction": 0.0,
177
+ "mean_activation_freq": 0.9798380780313469,
178
+ "min_activation_freq": 0.919782642585128
179
+ },
180
+ "layer_22": {
181
+ "intermediate_size": 11008,
182
+ "dead_count": 0,
183
+ "dead_fraction": 0.0,
184
+ "mean_activation_freq": 0.9797657994312288,
185
+ "min_activation_freq": 0.9327216444335568
186
+ },
187
+ "layer_23": {
188
+ "intermediate_size": 11008,
189
+ "dead_count": 0,
190
+ "dead_fraction": 0.0,
191
+ "mean_activation_freq": 0.9800623471875617,
192
+ "min_activation_freq": 0.9392189831414383
193
+ },
194
+ "layer_24": {
195
+ "intermediate_size": 11008,
196
+ "dead_count": 0,
197
+ "dead_fraction": 0.0,
198
+ "mean_activation_freq": 0.981863016319674,
199
+ "min_activation_freq": 0.9277275460436942
200
+ },
201
+ "layer_25": {
202
+ "intermediate_size": 11008,
203
+ "dead_count": 0,
204
+ "dead_fraction": 0.0,
205
+ "mean_activation_freq": 0.9838122402872355,
206
+ "min_activation_freq": 0.9403993051689197
207
+ },
208
+ "layer_26": {
209
+ "intermediate_size": 11008,
210
+ "dead_count": 0,
211
+ "dead_fraction": 0.0,
212
+ "mean_activation_freq": 0.9857757730981421,
213
+ "min_activation_freq": 0.9560218693628488
214
+ },
215
+ "layer_27": {
216
+ "intermediate_size": 11008,
217
+ "dead_count": 0,
218
+ "dead_fraction": 0.0,
219
+ "mean_activation_freq": 0.9869795129530502,
220
+ "min_activation_freq": 0.941356924927065
221
+ },
222
+ "layer_28": {
223
+ "intermediate_size": 11008,
224
+ "dead_count": 0,
225
+ "dead_fraction": 0.0,
226
+ "mean_activation_freq": 0.9873358957595094,
227
+ "min_activation_freq": 0.20021490768990938
228
+ },
229
+ "layer_29": {
230
+ "intermediate_size": 11008,
231
+ "dead_count": 0,
232
+ "dead_fraction": 0.0,
233
+ "mean_activation_freq": 0.9885055914818519,
234
+ "min_activation_freq": 0.9607153196891076
235
+ },
236
+ "layer_30": {
237
+ "intermediate_size": 11008,
238
+ "dead_count": 0,
239
+ "dead_fraction": 0.0,
240
+ "mean_activation_freq": 0.9900562647734472,
241
+ "min_activation_freq": 0.5315123711110616
242
+ },
243
+ "layer_31": {
244
+ "intermediate_size": 11008,
245
+ "dead_count": 0,
246
+ "dead_fraction": 0.0,
247
+ "mean_activation_freq": 0.9909000009880794,
248
+ "min_activation_freq": 0.9506491771151149
249
+ },
250
+ "layer_32": {
251
+ "intermediate_size": 11008,
252
+ "dead_count": 0,
253
+ "dead_fraction": 0.0,
254
+ "mean_activation_freq": 0.9891763242668369,
255
+ "min_activation_freq": 0.8601374073001804
256
+ },
257
+ "layer_33": {
258
+ "intermediate_size": 11008,
259
+ "dead_count": 0,
260
+ "dead_fraction": 0.0,
261
+ "mean_activation_freq": 0.9872321747266654,
262
+ "min_activation_freq": 0.9268311694096163
263
+ },
264
+ "layer_34": {
265
+ "intermediate_size": 11008,
266
+ "dead_count": 0,
267
+ "dead_fraction": 0.0,
268
+ "mean_activation_freq": 0.9881215211065105,
269
+ "min_activation_freq": 0.8854252499832973
270
+ },
271
+ "layer_35": {
272
+ "intermediate_size": 11008,
273
+ "dead_count": 0,
274
+ "dead_fraction": 0.0,
275
+ "mean_activation_freq": 0.9925457460767176,
276
+ "min_activation_freq": 0.013351001046700665
277
+ },
278
+ "_overall": {
279
+ "dead_count": 13007,
280
+ "intermediate_total": 396288,
281
+ "dead_fraction": 0.03282208898578812
282
+ }
283
+ },
284
+ "size": 487,
285
+ "size_pre_filter": 487,
286
+ "skipped_long": 0
287
+ },
288
+ "negative": {
289
+ "loss": 0.22644281174429481,
290
+ "token_entropy": 0.026888394773703334,
291
+ "num_supervised_tokens": 230244,
292
+ "kl_from_init": 2.281790943834652,
293
+ "kl_to_init": 0.2967038462685196,
294
+ "dead_units": {
295
+ "layer_0": {
296
+ "intermediate_size": 11008,
297
+ "dead_count": 0,
298
+ "dead_fraction": 0.0,
299
+ "mean_activation_freq": 0.92359506169302,
300
+ "min_activation_freq": 0.7750603707371311
301
+ },
302
+ "layer_1": {
303
+ "intermediate_size": 11008,
304
+ "dead_count": 8788,
305
+ "dead_fraction": 0.798328488372093,
306
+ "mean_activation_freq": 0.1470431852180932,
307
+ "min_activation_freq": 0.0
308
+ },
309
+ "layer_2": {
310
+ "intermediate_size": 11008,
311
+ "dead_count": 3590,
312
+ "dead_fraction": 0.3261264534883721,
313
+ "mean_activation_freq": 0.16637071901641354,
314
+ "min_activation_freq": 0.0
315
+ },
316
+ "layer_3": {
317
+ "intermediate_size": 11008,
318
+ "dead_count": 374,
319
+ "dead_fraction": 0.033975290697674417,
320
+ "mean_activation_freq": 0.38837833726786003,
321
+ "min_activation_freq": 0.0
322
+ },
323
+ "layer_4": {
324
+ "intermediate_size": 11008,
325
+ "dead_count": 9,
326
+ "dead_fraction": 0.0008175872093023256,
327
+ "mean_activation_freq": 0.5580244853614347,
328
+ "min_activation_freq": 0.0
329
+ },
330
+ "layer_5": {
331
+ "intermediate_size": 11008,
332
+ "dead_count": 5,
333
+ "dead_fraction": 0.00045421511627906976,
334
+ "mean_activation_freq": 0.7180896777023809,
335
+ "min_activation_freq": 0.0
336
+ },
337
+ "layer_6": {
338
+ "intermediate_size": 11008,
339
+ "dead_count": 0,
340
+ "dead_fraction": 0.0,
341
+ "mean_activation_freq": 0.869271526796345,
342
+ "min_activation_freq": 0.09882125049947013
343
+ },
344
+ "layer_7": {
345
+ "intermediate_size": 11008,
346
+ "dead_count": 0,
347
+ "dead_fraction": 0.0,
348
+ "mean_activation_freq": 0.8845077353542128,
349
+ "min_activation_freq": 0.03745157311374021
350
+ },
351
+ "layer_8": {
352
+ "intermediate_size": 11008,
353
+ "dead_count": 0,
354
+ "dead_fraction": 0.0,
355
+ "mean_activation_freq": 0.9411089695561341,
356
+ "min_activation_freq": 0.08858428449818453
357
+ },
358
+ "layer_9": {
359
+ "intermediate_size": 11008,
360
+ "dead_count": 0,
361
+ "dead_fraction": 0.0,
362
+ "mean_activation_freq": 0.9481714484334465,
363
+ "min_activation_freq": 0.26476259967686455
364
+ },
365
+ "layer_10": {
366
+ "intermediate_size": 11008,
367
+ "dead_count": 0,
368
+ "dead_fraction": 0.0,
369
+ "mean_activation_freq": 0.9729510230716311,
370
+ "min_activation_freq": 0.6487465471412937
371
+ },
372
+ "layer_11": {
373
+ "intermediate_size": 11008,
374
+ "dead_count": 0,
375
+ "dead_fraction": 0.0,
376
+ "mean_activation_freq": 0.9849761759314588,
377
+ "min_activation_freq": 0.9316029950834767
378
+ },
379
+ "layer_12": {
380
+ "intermediate_size": 11008,
381
+ "dead_count": 0,
382
+ "dead_fraction": 0.0,
383
+ "mean_activation_freq": 0.9867173208570088,
384
+ "min_activation_freq": 0.9200847796250934
385
+ },
386
+ "layer_13": {
387
+ "intermediate_size": 11008,
388
+ "dead_count": 0,
389
+ "dead_fraction": 0.0,
390
+ "mean_activation_freq": 0.9805944279397933,
391
+ "min_activation_freq": 0.9059085144455448
392
+ },
393
+ "layer_14": {
394
+ "intermediate_size": 11008,
395
+ "dead_count": 0,
396
+ "dead_fraction": 0.0,
397
+ "mean_activation_freq": 0.9826140166506371,
398
+ "min_activation_freq": 0.8946204895675892
399
+ },
400
+ "layer_15": {
401
+ "intermediate_size": 11008,
402
+ "dead_count": 0,
403
+ "dead_fraction": 0.0,
404
+ "mean_activation_freq": 0.9797717316883091,
405
+ "min_activation_freq": 0.9055523705286566
406
+ },
407
+ "layer_16": {
408
+ "intermediate_size": 11008,
409
+ "dead_count": 0,
410
+ "dead_fraction": 0.0,
411
+ "mean_activation_freq": 0.9791134559272408,
412
+ "min_activation_freq": 0.9083103142752906
413
+ },
414
+ "layer_17": {
415
+ "intermediate_size": 11008,
416
+ "dead_count": 0,
417
+ "dead_fraction": 0.0,
418
+ "mean_activation_freq": 0.9790707039483492,
419
+ "min_activation_freq": 0.9194680425982871
420
+ },
421
+ "layer_18": {
422
+ "intermediate_size": 11008,
423
+ "dead_count": 0,
424
+ "dead_fraction": 0.0,
425
+ "mean_activation_freq": 0.9795402931427549,
426
+ "min_activation_freq": 0.9235854137349943
427
+ },
428
+ "layer_19": {
429
+ "intermediate_size": 11008,
430
+ "dead_count": 0,
431
+ "dead_fraction": 0.0,
432
+ "mean_activation_freq": 0.9767196603556418,
433
+ "min_activation_freq": 0.9120194228731259
434
+ },
435
+ "layer_20": {
436
+ "intermediate_size": 11008,
437
+ "dead_count": 0,
438
+ "dead_fraction": 0.0,
439
+ "mean_activation_freq": 0.9793146024176123,
440
+ "min_activation_freq": 0.9096393391358732
441
+ },
442
+ "layer_21": {
443
+ "intermediate_size": 11008,
444
+ "dead_count": 0,
445
+ "dead_fraction": 0.0,
446
+ "mean_activation_freq": 0.9797709287768224,
447
+ "min_activation_freq": 0.9185429370580775
448
+ },
449
+ "layer_22": {
450
+ "intermediate_size": 11008,
451
+ "dead_count": 0,
452
+ "dead_fraction": 0.0,
453
+ "mean_activation_freq": 0.9795842851957509,
454
+ "min_activation_freq": 0.9312946265700736
455
+ },
456
+ "layer_23": {
457
+ "intermediate_size": 11008,
458
+ "dead_count": 0,
459
+ "dead_fraction": 0.0,
460
+ "mean_activation_freq": 0.9798097727270776,
461
+ "min_activation_freq": 0.9380092423689651
462
+ },
463
+ "layer_24": {
464
+ "intermediate_size": 11008,
465
+ "dead_count": 0,
466
+ "dead_fraction": 0.0,
467
+ "mean_activation_freq": 0.981709799040164,
468
+ "min_activation_freq": 0.9275942044092355
469
+ },
470
+ "layer_25": {
471
+ "intermediate_size": 11008,
472
+ "dead_count": 0,
473
+ "dead_fraction": 0.0,
474
+ "mean_activation_freq": 0.983641332625818,
475
+ "min_activation_freq": 0.9445631590834072
476
+ },
477
+ "layer_26": {
478
+ "intermediate_size": 11008,
479
+ "dead_count": 0,
480
+ "dead_fraction": 0.0,
481
+ "mean_activation_freq": 0.9856177377188678,
482
+ "min_activation_freq": 0.9553604002710169
483
+ },
484
+ "layer_27": {
485
+ "intermediate_size": 11008,
486
+ "dead_count": 0,
487
+ "dead_fraction": 0.0,
488
+ "mean_activation_freq": 0.9868451834262378,
489
+ "min_activation_freq": 0.9372882680981915
490
+ },
491
+ "layer_28": {
492
+ "intermediate_size": 11008,
493
+ "dead_count": 0,
494
+ "dead_fraction": 0.0,
495
+ "mean_activation_freq": 0.9872474906108202,
496
+ "min_activation_freq": 0.20309758343322737
497
+ },
498
+ "layer_29": {
499
+ "intermediate_size": 11008,
500
+ "dead_count": 0,
501
+ "dead_fraction": 0.0,
502
+ "mean_activation_freq": 0.988432907156912,
503
+ "min_activation_freq": 0.9601509702750126
504
+ },
505
+ "layer_30": {
506
+ "intermediate_size": 11008,
507
+ "dead_count": 0,
508
+ "dead_fraction": 0.0,
509
+ "mean_activation_freq": 0.989987366284423,
510
+ "min_activation_freq": 0.5465766751793749
511
+ },
512
+ "layer_31": {
513
+ "intermediate_size": 11008,
514
+ "dead_count": 0,
515
+ "dead_fraction": 0.0,
516
+ "mean_activation_freq": 0.9908456972075227,
517
+ "min_activation_freq": 0.948016017789823
518
+ },
519
+ "layer_32": {
520
+ "intermediate_size": 11008,
521
+ "dead_count": 0,
522
+ "dead_fraction": 0.0,
523
+ "mean_activation_freq": 0.9891215755836933,
524
+ "min_activation_freq": 0.8510840673372596
525
+ },
526
+ "layer_33": {
527
+ "intermediate_size": 11008,
528
+ "dead_count": 0,
529
+ "dead_fraction": 0.0,
530
+ "mean_activation_freq": 0.9871768292708331,
531
+ "min_activation_freq": 0.927754903493685
532
+ },
533
+ "layer_34": {
534
+ "intermediate_size": 11008,
535
+ "dead_count": 0,
536
+ "dead_fraction": 0.0,
537
+ "mean_activation_freq": 0.988042281052169,
538
+ "min_activation_freq": 0.8888830979308907
539
+ },
540
+ "layer_35": {
541
+ "intermediate_size": 11008,
542
+ "dead_count": 0,
543
+ "dead_fraction": 0.0,
544
+ "mean_activation_freq": 0.9926790629287666,
545
+ "min_activation_freq": 0.015244696930213165
546
+ },
547
+ "_overall": {
548
+ "dead_count": 12766,
549
+ "intermediate_total": 396288,
550
+ "dead_fraction": 0.032213945413436695
551
+ }
552
+ },
553
+ "size": 537,
554
+ "size_pre_filter": 537,
555
+ "skipped_long": 0
556
+ }
557
+ },
558
+ "old_data": {
559
+ "num_records": 17408,
560
+ "source_steps": [
561
+ 25,
562
+ 50,
563
+ 75,
564
+ 100,
565
+ 125,
566
+ 150,
567
+ 175,
568
+ 200,
569
+ 225,
570
+ 250,
571
+ 275,
572
+ 300,
573
+ 325,
574
+ 350,
575
+ 375,
576
+ 400,
577
+ 425
578
+ ],
579
+ "num_source_steps": 17,
580
+ "num_positives_pre_cap": 5428,
581
+ "num_negatives_pre_cap": 11980,
582
+ "positive": {
583
+ "loss": 0.6926965655193176,
584
+ "token_entropy": 0.03525832776509963,
585
+ "num_supervised_tokens": 1929501,
586
+ "kl_from_init": 2.50539618778238,
587
+ "kl_to_init": 0.33499817008159544,
588
+ "dead_units": {
589
+ "layer_0": {
590
+ "intermediate_size": 11008,
591
+ "dead_count": 0,
592
+ "dead_fraction": 0.0,
593
+ "mean_activation_freq": 0.9239898027809619,
594
+ "min_activation_freq": 0.7809615024817298
595
+ },
596
+ "layer_1": {
597
+ "intermediate_size": 11008,
598
+ "dead_count": 8760,
599
+ "dead_fraction": 0.7957848837209303,
600
+ "mean_activation_freq": 0.1476790701416801,
601
+ "min_activation_freq": 0.0
602
+ },
603
+ "layer_2": {
604
+ "intermediate_size": 11008,
605
+ "dead_count": 2378,
606
+ "dead_fraction": 0.2160247093023256,
607
+ "mean_activation_freq": 0.1665900794699384,
608
+ "min_activation_freq": 0.0
609
+ },
610
+ "layer_3": {
611
+ "intermediate_size": 11008,
612
+ "dead_count": 46,
613
+ "dead_fraction": 0.0041787790697674415,
614
+ "mean_activation_freq": 0.38688653408150725,
615
+ "min_activation_freq": 0.0
616
+ },
617
+ "layer_4": {
618
+ "intermediate_size": 11008,
619
+ "dead_count": 1,
620
+ "dead_fraction": 9.084302325581395e-05,
621
+ "mean_activation_freq": 0.5502856719744976,
622
+ "min_activation_freq": 0.0
623
+ },
624
+ "layer_5": {
625
+ "intermediate_size": 11008,
626
+ "dead_count": 0,
627
+ "dead_fraction": 0.0,
628
+ "mean_activation_freq": 0.7141078238701414,
629
+ "min_activation_freq": 3.1096122779931184e-06
630
+ },
631
+ "layer_6": {
632
+ "intermediate_size": 11008,
633
+ "dead_count": 0,
634
+ "dead_fraction": 0.0,
635
+ "mean_activation_freq": 0.8658161610795673,
636
+ "min_activation_freq": 0.09106706863588047
637
+ },
638
+ "layer_7": {
639
+ "intermediate_size": 11008,
640
+ "dead_count": 0,
641
+ "dead_fraction": 0.0,
642
+ "mean_activation_freq": 0.8816021608221142,
643
+ "min_activation_freq": 0.03308575636913378
644
+ },
645
+ "layer_8": {
646
+ "intermediate_size": 11008,
647
+ "dead_count": 0,
648
+ "dead_fraction": 0.0,
649
+ "mean_activation_freq": 0.9409722146892467,
650
+ "min_activation_freq": 0.09351744311093906
651
+ },
652
+ "layer_9": {
653
+ "intermediate_size": 11008,
654
+ "dead_count": 0,
655
+ "dead_fraction": 0.0,
656
+ "mean_activation_freq": 0.948372135976282,
657
+ "min_activation_freq": 0.25344946698654214
658
+ },
659
+ "layer_10": {
660
+ "intermediate_size": 11008,
661
+ "dead_count": 0,
662
+ "dead_fraction": 0.0,
663
+ "mean_activation_freq": 0.9732144297353608,
664
+ "min_activation_freq": 0.6671989286349165
665
+ },
666
+ "layer_11": {
667
+ "intermediate_size": 11008,
668
+ "dead_count": 0,
669
+ "dead_fraction": 0.0,
670
+ "mean_activation_freq": 0.9850663970639602,
671
+ "min_activation_freq": 0.9332402522724788
672
+ },
673
+ "layer_12": {
674
+ "intermediate_size": 11008,
675
+ "dead_count": 0,
676
+ "dead_fraction": 0.0,
677
+ "mean_activation_freq": 0.9867346697289839,
678
+ "min_activation_freq": 0.9201363461330158
679
+ },
680
+ "layer_13": {
681
+ "intermediate_size": 11008,
682
+ "dead_count": 0,
683
+ "dead_fraction": 0.0,
684
+ "mean_activation_freq": 0.9807233985166824,
685
+ "min_activation_freq": 0.9038849940995107
686
+ },
687
+ "layer_14": {
688
+ "intermediate_size": 11008,
689
+ "dead_count": 0,
690
+ "dead_fraction": 0.0,
691
+ "mean_activation_freq": 0.9826913319105021,
692
+ "min_activation_freq": 0.9005846589351341
693
+ },
694
+ "layer_15": {
695
+ "intermediate_size": 11008,
696
+ "dead_count": 0,
697
+ "dead_fraction": 0.0,
698
+ "mean_activation_freq": 0.9798435359166034,
699
+ "min_activation_freq": 0.9050251852681083
700
+ },
701
+ "layer_16": {
702
+ "intermediate_size": 11008,
703
+ "dead_count": 0,
704
+ "dead_fraction": 0.0,
705
+ "mean_activation_freq": 0.9792381253195263,
706
+ "min_activation_freq": 0.9096196374088431
707
+ },
708
+ "layer_17": {
709
+ "intermediate_size": 11008,
710
+ "dead_count": 0,
711
+ "dead_fraction": 0.0,
712
+ "mean_activation_freq": 0.9791040463126942,
713
+ "min_activation_freq": 0.9247743328456425
714
+ },
715
+ "layer_18": {
716
+ "intermediate_size": 11008,
717
+ "dead_count": 0,
718
+ "dead_fraction": 0.0,
719
+ "mean_activation_freq": 0.9795666338604079,
720
+ "min_activation_freq": 0.9253008938580494
721
+ },
722
+ "layer_19": {
723
+ "intermediate_size": 11008,
724
+ "dead_count": 0,
725
+ "dead_fraction": 0.0,
726
+ "mean_activation_freq": 0.9766794093783082,
727
+ "min_activation_freq": 0.9149987483810582
728
+ },
729
+ "layer_20": {
730
+ "intermediate_size": 11008,
731
+ "dead_count": 0,
732
+ "dead_fraction": 0.0,
733
+ "mean_activation_freq": 0.9792562608638312,
734
+ "min_activation_freq": 0.9136730170132071
735
+ },
736
+ "layer_21": {
737
+ "intermediate_size": 11008,
738
+ "dead_count": 0,
739
+ "dead_fraction": 0.0,
740
+ "mean_activation_freq": 0.9797988385357841,
741
+ "min_activation_freq": 0.9225613254411374
742
+ },
743
+ "layer_22": {
744
+ "intermediate_size": 11008,
745
+ "dead_count": 0,
746
+ "dead_fraction": 0.0,
747
+ "mean_activation_freq": 0.9797029860838343,
748
+ "min_activation_freq": 0.9313718935621179
749
+ },
750
+ "layer_23": {
751
+ "intermediate_size": 11008,
752
+ "dead_count": 0,
753
+ "dead_fraction": 0.0,
754
+ "mean_activation_freq": 0.9799768695355119,
755
+ "min_activation_freq": 0.9389417263841792
756
+ },
757
+ "layer_24": {
758
+ "intermediate_size": 11008,
759
+ "dead_count": 0,
760
+ "dead_fraction": 0.0,
761
+ "mean_activation_freq": 0.9817966024183407,
762
+ "min_activation_freq": 0.9271407477891953
763
+ },
764
+ "layer_25": {
765
+ "intermediate_size": 11008,
766
+ "dead_count": 0,
767
+ "dead_fraction": 0.0,
768
+ "mean_activation_freq": 0.9837987722911742,
769
+ "min_activation_freq": 0.9431516231398689
770
+ },
771
+ "layer_26": {
772
+ "intermediate_size": 11008,
773
+ "dead_count": 0,
774
+ "dead_fraction": 0.0,
775
+ "mean_activation_freq": 0.9857552757129743,
776
+ "min_activation_freq": 0.9544721666379028
777
+ },
778
+ "layer_27": {
779
+ "intermediate_size": 11008,
780
+ "dead_count": 0,
781
+ "dead_fraction": 0.0,
782
+ "mean_activation_freq": 0.9870031545325408,
783
+ "min_activation_freq": 0.9416139198684013
784
+ },
785
+ "layer_28": {
786
+ "intermediate_size": 11008,
787
+ "dead_count": 0,
788
+ "dead_fraction": 0.0,
789
+ "mean_activation_freq": 0.9874027153693359,
790
+ "min_activation_freq": 0.20369204265766125
791
+ },
792
+ "layer_29": {
793
+ "intermediate_size": 11008,
794
+ "dead_count": 0,
795
+ "dead_fraction": 0.0,
796
+ "mean_activation_freq": 0.9885790970707871,
797
+ "min_activation_freq": 0.9615828133802471
798
+ },
799
+ "layer_30": {
800
+ "intermediate_size": 11008,
801
+ "dead_count": 0,
802
+ "dead_fraction": 0.0,
803
+ "mean_activation_freq": 0.9901120243887194,
804
+ "min_activation_freq": 0.5330233049892175
805
+ },
806
+ "layer_31": {
807
+ "intermediate_size": 11008,
808
+ "dead_count": 0,
809
+ "dead_fraction": 0.0,
810
+ "mean_activation_freq": 0.9909866988402611,
811
+ "min_activation_freq": 0.9524016831294724
812
+ },
813
+ "layer_32": {
814
+ "intermediate_size": 11008,
815
+ "dead_count": 0,
816
+ "dead_fraction": 0.0,
817
+ "mean_activation_freq": 0.9893191115347627,
818
+ "min_activation_freq": 0.8537969143317365
819
+ },
820
+ "layer_33": {
821
+ "intermediate_size": 11008,
822
+ "dead_count": 0,
823
+ "dead_fraction": 0.0,
824
+ "mean_activation_freq": 0.9874122298469343,
825
+ "min_activation_freq": 0.9289028614133914
826
+ },
827
+ "layer_34": {
828
+ "intermediate_size": 11008,
829
+ "dead_count": 0,
830
+ "dead_fraction": 0.0,
831
+ "mean_activation_freq": 0.9882549036536654,
832
+ "min_activation_freq": 0.8817518104421818
833
+ },
834
+ "layer_35": {
835
+ "intermediate_size": 11008,
836
+ "dead_count": 0,
837
+ "dead_fraction": 0.0,
838
+ "mean_activation_freq": 0.9925600001760607,
839
+ "min_activation_freq": 0.017634092959785977
840
+ },
841
+ "_overall": {
842
+ "dead_count": 11185,
843
+ "intermediate_total": 396288,
844
+ "dead_fraction": 0.028224422642118864
845
+ }
846
+ },
847
+ "size": 5428,
848
+ "size_pre_filter": 5428,
849
+ "skipped_long": 0
850
+ },
851
+ "negative": {
852
+ "loss": 0.9962416599751585,
853
+ "token_entropy": 0.06835519630279611,
854
+ "num_supervised_tokens": 5246910,
855
+ "kl_from_init": 2.186866342041915,
856
+ "kl_to_init": 0.3307677409618137,
857
+ "dead_units": {
858
+ "layer_0": {
859
+ "intermediate_size": 11008,
860
+ "dead_count": 0,
861
+ "dead_fraction": 0.0,
862
+ "mean_activation_freq": 0.9242188255912792,
863
+ "min_activation_freq": 0.7848872955701547
864
+ },
865
+ "layer_1": {
866
+ "intermediate_size": 11008,
867
+ "dead_count": 1036,
868
+ "dead_fraction": 0.09411337209302326,
869
+ "mean_activation_freq": 0.14745145968498716,
870
+ "min_activation_freq": 0.0
871
+ },
872
+ "layer_2": {
873
+ "intermediate_size": 11008,
874
+ "dead_count": 635,
875
+ "dead_fraction": 0.05768531976744186,
876
+ "mean_activation_freq": 0.16652048762390628,
877
+ "min_activation_freq": 0.0
878
+ },
879
+ "layer_3": {
880
+ "intermediate_size": 11008,
881
+ "dead_count": 0,
882
+ "dead_fraction": 0.0,
883
+ "mean_activation_freq": 0.38706715978095835,
884
+ "min_activation_freq": 1.1435301920558957e-06
885
+ },
886
+ "layer_4": {
887
+ "intermediate_size": 11008,
888
+ "dead_count": 0,
889
+ "dead_fraction": 0.0,
890
+ "mean_activation_freq": 0.5517270848613646,
891
+ "min_activation_freq": 1.086353682453101e-05
892
+ },
893
+ "layer_5": {
894
+ "intermediate_size": 11008,
895
+ "dead_count": 0,
896
+ "dead_fraction": 0.0,
897
+ "mean_activation_freq": 0.7146326098097583,
898
+ "min_activation_freq": 2.2489427110432617e-05
899
+ },
900
+ "layer_6": {
901
+ "intermediate_size": 11008,
902
+ "dead_count": 0,
903
+ "dead_fraction": 0.0,
904
+ "mean_activation_freq": 0.8659557677009054,
905
+ "min_activation_freq": 0.09039663344711459
906
+ },
907
+ "layer_7": {
908
+ "intermediate_size": 11008,
909
+ "dead_count": 0,
910
+ "dead_fraction": 0.0,
911
+ "mean_activation_freq": 0.8829431277212306,
912
+ "min_activation_freq": 0.036795180401417216
913
+ },
914
+ "layer_8": {
915
+ "intermediate_size": 11008,
916
+ "dead_count": 0,
917
+ "dead_fraction": 0.0,
918
+ "mean_activation_freq": 0.941035443281307,
919
+ "min_activation_freq": 0.0950919684156961
920
+ },
921
+ "layer_9": {
922
+ "intermediate_size": 11008,
923
+ "dead_count": 0,
924
+ "dead_fraction": 0.0,
925
+ "mean_activation_freq": 0.9491038722914402,
926
+ "min_activation_freq": 0.26759730965463485
927
+ },
928
+ "layer_10": {
929
+ "intermediate_size": 11008,
930
+ "dead_count": 0,
931
+ "dead_fraction": 0.0,
932
+ "mean_activation_freq": 0.9734387775722637,
933
+ "min_activation_freq": 0.6775227705449494
934
+ },
935
+ "layer_11": {
936
+ "intermediate_size": 11008,
937
+ "dead_count": 0,
938
+ "dead_fraction": 0.0,
939
+ "mean_activation_freq": 0.9850353480335248,
940
+ "min_activation_freq": 0.932781389427301
941
+ },
942
+ "layer_12": {
943
+ "intermediate_size": 11008,
944
+ "dead_count": 0,
945
+ "dead_fraction": 0.0,
946
+ "mean_activation_freq": 0.9867174492967357,
947
+ "min_activation_freq": 0.9197622981907446
948
+ },
949
+ "layer_13": {
950
+ "intermediate_size": 11008,
951
+ "dead_count": 0,
952
+ "dead_fraction": 0.0,
953
+ "mean_activation_freq": 0.9805048190732183,
954
+ "min_activation_freq": 0.9041443440043759
955
+ },
956
+ "layer_14": {
957
+ "intermediate_size": 11008,
958
+ "dead_count": 0,
959
+ "dead_fraction": 0.0,
960
+ "mean_activation_freq": 0.9825330268341382,
961
+ "min_activation_freq": 0.9000918635920951
962
+ },
963
+ "layer_15": {
964
+ "intermediate_size": 11008,
965
+ "dead_count": 0,
966
+ "dead_fraction": 0.0,
967
+ "mean_activation_freq": 0.9796889547252574,
968
+ "min_activation_freq": 0.9075379604376671
969
+ },
970
+ "layer_16": {
971
+ "intermediate_size": 11008,
972
+ "dead_count": 0,
973
+ "dead_fraction": 0.0,
974
+ "mean_activation_freq": 0.9791664974606262,
975
+ "min_activation_freq": 0.9094627123392626
976
+ },
977
+ "layer_17": {
978
+ "intermediate_size": 11008,
979
+ "dead_count": 0,
980
+ "dead_fraction": 0.0,
981
+ "mean_activation_freq": 0.979008674867684,
982
+ "min_activation_freq": 0.92362266553076
983
+ },
984
+ "layer_18": {
985
+ "intermediate_size": 11008,
986
+ "dead_count": 0,
987
+ "dead_fraction": 0.0,
988
+ "mean_activation_freq": 0.9794858082695228,
989
+ "min_activation_freq": 0.9266762723202799
990
+ },
991
+ "layer_19": {
992
+ "intermediate_size": 11008,
993
+ "dead_count": 0,
994
+ "dead_fraction": 0.0,
995
+ "mean_activation_freq": 0.9765471479236474,
996
+ "min_activation_freq": 0.916980279821838
997
+ },
998
+ "layer_20": {
999
+ "intermediate_size": 11008,
1000
+ "dead_count": 0,
1001
+ "dead_fraction": 0.0,
1002
+ "mean_activation_freq": 0.9791971278399827,
1003
+ "min_activation_freq": 0.9172301411688022
1004
+ },
1005
+ "layer_21": {
1006
+ "intermediate_size": 11008,
1007
+ "dead_count": 0,
1008
+ "dead_fraction": 0.0,
1009
+ "mean_activation_freq": 0.9796157840808953,
1010
+ "min_activation_freq": 0.9208953460227067
1011
+ },
1012
+ "layer_22": {
1013
+ "intermediate_size": 11008,
1014
+ "dead_count": 0,
1015
+ "dead_fraction": 0.0,
1016
+ "mean_activation_freq": 0.979400015959144,
1017
+ "min_activation_freq": 0.9327783400134556
1018
+ },
1019
+ "layer_23": {
1020
+ "intermediate_size": 11008,
1021
+ "dead_count": 0,
1022
+ "dead_fraction": 0.0,
1023
+ "mean_activation_freq": 0.9795548721397508,
1024
+ "min_activation_freq": 0.9403673781330345
1025
+ },
1026
+ "layer_24": {
1027
+ "intermediate_size": 11008,
1028
+ "dead_count": 0,
1029
+ "dead_fraction": 0.0,
1030
+ "mean_activation_freq": 0.9814939969457329,
1031
+ "min_activation_freq": 0.929267130558748
1032
+ },
1033
+ "layer_25": {
1034
+ "intermediate_size": 11008,
1035
+ "dead_count": 0,
1036
+ "dead_fraction": 0.0,
1037
+ "mean_activation_freq": 0.9834754828034057,
1038
+ "min_activation_freq": 0.9470471191615637
1039
+ },
1040
+ "layer_26": {
1041
+ "intermediate_size": 11008,
1042
+ "dead_count": 0,
1043
+ "dead_fraction": 0.0,
1044
+ "mean_activation_freq": 0.9855010589108969,
1045
+ "min_activation_freq": 0.9545486772214503
1046
+ },
1047
+ "layer_27": {
1048
+ "intermediate_size": 11008,
1049
+ "dead_count": 0,
1050
+ "dead_fraction": 0.0,
1051
+ "mean_activation_freq": 0.9867753981670742,
1052
+ "min_activation_freq": 0.9376837033606447
1053
+ },
1054
+ "layer_28": {
1055
+ "intermediate_size": 11008,
1056
+ "dead_count": 0,
1057
+ "dead_fraction": 0.0,
1058
+ "mean_activation_freq": 0.9872253881532899,
1059
+ "min_activation_freq": 0.20896337082206481
1060
+ },
1061
+ "layer_29": {
1062
+ "intermediate_size": 11008,
1063
+ "dead_count": 0,
1064
+ "dead_fraction": 0.0,
1065
+ "mean_activation_freq": 0.9884186520226212,
1066
+ "min_activation_freq": 0.960289770550667
1067
+ },
1068
+ "layer_30": {
1069
+ "intermediate_size": 11008,
1070
+ "dead_count": 0,
1071
+ "dead_fraction": 0.0,
1072
+ "mean_activation_freq": 0.9900049386556443,
1073
+ "min_activation_freq": 0.5648715148535043
1074
+ },
1075
+ "layer_31": {
1076
+ "intermediate_size": 11008,
1077
+ "dead_count": 0,
1078
+ "dead_fraction": 0.0,
1079
+ "mean_activation_freq": 0.9909468673385141,
1080
+ "min_activation_freq": 0.9530441726654355
1081
+ },
1082
+ "layer_32": {
1083
+ "intermediate_size": 11008,
1084
+ "dead_count": 0,
1085
+ "dead_fraction": 0.0,
1086
+ "mean_activation_freq": 0.9892989629744925,
1087
+ "min_activation_freq": 0.8332995991926677
1088
+ },
1089
+ "layer_33": {
1090
+ "intermediate_size": 11008,
1091
+ "dead_count": 0,
1092
+ "dead_fraction": 0.0,
1093
+ "mean_activation_freq": 0.9874253819021023,
1094
+ "min_activation_freq": 0.9199328747777263
1095
+ },
1096
+ "layer_34": {
1097
+ "intermediate_size": 11008,
1098
+ "dead_count": 0,
1099
+ "dead_fraction": 0.0,
1100
+ "mean_activation_freq": 0.988208611403282,
1101
+ "min_activation_freq": 0.8943244690684613
1102
+ },
1103
+ "layer_35": {
1104
+ "intermediate_size": 11008,
1105
+ "dead_count": 0,
1106
+ "dead_fraction": 0.0,
1107
+ "mean_activation_freq": 0.9927202526375934,
1108
+ "min_activation_freq": 0.03900124073025838
1109
+ },
1110
+ "_overall": {
1111
+ "dead_count": 1671,
1112
+ "intermediate_total": 396288,
1113
+ "dead_fraction": 0.004216630329457364
1114
+ }
1115
+ },
1116
+ "size": 11980,
1117
+ "size_pre_filter": 11980,
1118
+ "skipped_long": 0
1119
+ }
1120
+ },
1121
+ "new_data": {
1122
+ "num_records": 5120,
1123
+ "source_steps": [
1124
+ 475,
1125
+ 500,
1126
+ 525,
1127
+ 550,
1128
+ 575
1129
+ ],
1130
+ "num_source_steps": 5,
1131
+ "num_positives_pre_cap": 2363,
1132
+ "num_negatives_pre_cap": 2757,
1133
+ "positive": {
1134
+ "loss": 0.41386693502512983,
1135
+ "token_entropy": 0.027203824998458102,
1136
+ "num_supervised_tokens": 865335,
1137
+ "kl_from_init": 2.4682583361016346,
1138
+ "kl_to_init": 0.3123609921909449,
1139
+ "dead_units": {
1140
+ "layer_0": {
1141
+ "intermediate_size": 11008,
1142
+ "dead_count": 0,
1143
+ "dead_fraction": 0.0,
1144
+ "mean_activation_freq": 0.9232171459742502,
1145
+ "min_activation_freq": 0.7844383966902991
1146
+ },
1147
+ "layer_1": {
1148
+ "intermediate_size": 11008,
1149
+ "dead_count": 8771,
1150
+ "dead_fraction": 0.7967841569767442,
1151
+ "mean_activation_freq": 0.14749256784423856,
1152
+ "min_activation_freq": 0.0
1153
+ },
1154
+ "layer_2": {
1155
+ "intermediate_size": 11008,
1156
+ "dead_count": 3565,
1157
+ "dead_fraction": 0.32385537790697677,
1158
+ "mean_activation_freq": 0.1665281353472664,
1159
+ "min_activation_freq": 0.0
1160
+ },
1161
+ "layer_3": {
1162
+ "intermediate_size": 11008,
1163
+ "dead_count": 269,
1164
+ "dead_fraction": 0.024436773255813952,
1165
+ "mean_activation_freq": 0.3870687951742308,
1166
+ "min_activation_freq": 0.0
1167
+ },
1168
+ "layer_4": {
1169
+ "intermediate_size": 11008,
1170
+ "dead_count": 8,
1171
+ "dead_fraction": 0.0007267441860465116,
1172
+ "mean_activation_freq": 0.5571922930590397,
1173
+ "min_activation_freq": 0.0
1174
+ },
1175
+ "layer_5": {
1176
+ "intermediate_size": 11008,
1177
+ "dead_count": 1,
1178
+ "dead_fraction": 9.084302325581395e-05,
1179
+ "mean_activation_freq": 0.718952389187626,
1180
+ "min_activation_freq": 0.0
1181
+ },
1182
+ "layer_6": {
1183
+ "intermediate_size": 11008,
1184
+ "dead_count": 0,
1185
+ "dead_fraction": 0.0,
1186
+ "mean_activation_freq": 0.8715374674133126,
1187
+ "min_activation_freq": 0.09456106594555866
1188
+ },
1189
+ "layer_7": {
1190
+ "intermediate_size": 11008,
1191
+ "dead_count": 0,
1192
+ "dead_fraction": 0.0,
1193
+ "mean_activation_freq": 0.8849378264547633,
1194
+ "min_activation_freq": 0.03441441753771661
1195
+ },
1196
+ "layer_8": {
1197
+ "intermediate_size": 11008,
1198
+ "dead_count": 0,
1199
+ "dead_fraction": 0.0,
1200
+ "mean_activation_freq": 0.9414736865375501,
1201
+ "min_activation_freq": 0.08821323533660375
1202
+ },
1203
+ "layer_9": {
1204
+ "intermediate_size": 11008,
1205
+ "dead_count": 0,
1206
+ "dead_fraction": 0.0,
1207
+ "mean_activation_freq": 0.9483742398889138,
1208
+ "min_activation_freq": 0.25090745202724957
1209
+ },
1210
+ "layer_10": {
1211
+ "intermediate_size": 11008,
1212
+ "dead_count": 0,
1213
+ "dead_fraction": 0.0,
1214
+ "mean_activation_freq": 0.9733194466392301,
1215
+ "min_activation_freq": 0.6590557414180636
1216
+ },
1217
+ "layer_11": {
1218
+ "intermediate_size": 11008,
1219
+ "dead_count": 0,
1220
+ "dead_fraction": 0.0,
1221
+ "mean_activation_freq": 0.9850466896406971,
1222
+ "min_activation_freq": 0.9338545187701873
1223
+ },
1224
+ "layer_12": {
1225
+ "intermediate_size": 11008,
1226
+ "dead_count": 0,
1227
+ "dead_fraction": 0.0,
1228
+ "mean_activation_freq": 0.986762246227634,
1229
+ "min_activation_freq": 0.9144585622909047
1230
+ },
1231
+ "layer_13": {
1232
+ "intermediate_size": 11008,
1233
+ "dead_count": 0,
1234
+ "dead_fraction": 0.0,
1235
+ "mean_activation_freq": 0.9808597999072748,
1236
+ "min_activation_freq": 0.8988819358976582
1237
+ },
1238
+ "layer_14": {
1239
+ "intermediate_size": 11008,
1240
+ "dead_count": 0,
1241
+ "dead_fraction": 0.0,
1242
+ "mean_activation_freq": 0.9828114583866633,
1243
+ "min_activation_freq": 0.8951319431202944
1244
+ },
1245
+ "layer_15": {
1246
+ "intermediate_size": 11008,
1247
+ "dead_count": 0,
1248
+ "dead_fraction": 0.0,
1249
+ "mean_activation_freq": 0.9799230204072398,
1250
+ "min_activation_freq": 0.9018102815672543
1251
+ },
1252
+ "layer_16": {
1253
+ "intermediate_size": 11008,
1254
+ "dead_count": 0,
1255
+ "dead_fraction": 0.0,
1256
+ "mean_activation_freq": 0.9791668523766034,
1257
+ "min_activation_freq": 0.9062998723037898
1258
+ },
1259
+ "layer_17": {
1260
+ "intermediate_size": 11008,
1261
+ "dead_count": 0,
1262
+ "dead_fraction": 0.0,
1263
+ "mean_activation_freq": 0.9790680545852589,
1264
+ "min_activation_freq": 0.9223861279157783
1265
+ },
1266
+ "layer_18": {
1267
+ "intermediate_size": 11008,
1268
+ "dead_count": 0,
1269
+ "dead_fraction": 0.0,
1270
+ "mean_activation_freq": 0.9795357889440184,
1271
+ "min_activation_freq": 0.9226669440159013
1272
+ },
1273
+ "layer_19": {
1274
+ "intermediate_size": 11008,
1275
+ "dead_count": 0,
1276
+ "dead_fraction": 0.0,
1277
+ "mean_activation_freq": 0.976740796026569,
1278
+ "min_activation_freq": 0.9115359947303645
1279
+ },
1280
+ "layer_20": {
1281
+ "intermediate_size": 11008,
1282
+ "dead_count": 0,
1283
+ "dead_fraction": 0.0,
1284
+ "mean_activation_freq": 0.9793308378201021,
1285
+ "min_activation_freq": 0.909940081009089
1286
+ },
1287
+ "layer_21": {
1288
+ "intermediate_size": 11008,
1289
+ "dead_count": 0,
1290
+ "dead_fraction": 0.0,
1291
+ "mean_activation_freq": 0.9798262854764137,
1292
+ "min_activation_freq": 0.9232644004922949
1293
+ },
1294
+ "layer_22": {
1295
+ "intermediate_size": 11008,
1296
+ "dead_count": 0,
1297
+ "dead_fraction": 0.0,
1298
+ "mean_activation_freq": 0.9796815505632918,
1299
+ "min_activation_freq": 0.9292562995833984
1300
+ },
1301
+ "layer_23": {
1302
+ "intermediate_size": 11008,
1303
+ "dead_count": 0,
1304
+ "dead_fraction": 0.0,
1305
+ "mean_activation_freq": 0.9799350578544926,
1306
+ "min_activation_freq": 0.9392408720322187
1307
+ },
1308
+ "layer_24": {
1309
+ "intermediate_size": 11008,
1310
+ "dead_count": 0,
1311
+ "dead_fraction": 0.0,
1312
+ "mean_activation_freq": 0.9817649771190242,
1313
+ "min_activation_freq": 0.9274743307505185
1314
+ },
1315
+ "layer_25": {
1316
+ "intermediate_size": 11008,
1317
+ "dead_count": 0,
1318
+ "dead_fraction": 0.0,
1319
+ "mean_activation_freq": 0.9837369723587022,
1320
+ "min_activation_freq": 0.9456568843280349
1321
+ },
1322
+ "layer_26": {
1323
+ "intermediate_size": 11008,
1324
+ "dead_count": 0,
1325
+ "dead_fraction": 0.0,
1326
+ "mean_activation_freq": 0.9857040781465399,
1327
+ "min_activation_freq": 0.9551156488527565
1328
+ },
1329
+ "layer_27": {
1330
+ "intermediate_size": 11008,
1331
+ "dead_count": 0,
1332
+ "dead_fraction": 0.0,
1333
+ "mean_activation_freq": 0.9869326016584382,
1334
+ "min_activation_freq": 0.9396973426476452
1335
+ },
1336
+ "layer_28": {
1337
+ "intermediate_size": 11008,
1338
+ "dead_count": 0,
1339
+ "dead_fraction": 0.0,
1340
+ "mean_activation_freq": 0.9873168061231763,
1341
+ "min_activation_freq": 0.2023459122767483
1342
+ },
1343
+ "layer_29": {
1344
+ "intermediate_size": 11008,
1345
+ "dead_count": 0,
1346
+ "dead_fraction": 0.0,
1347
+ "mean_activation_freq": 0.9885006100734143,
1348
+ "min_activation_freq": 0.9612589344011279
1349
+ },
1350
+ "layer_30": {
1351
+ "intermediate_size": 11008,
1352
+ "dead_count": 0,
1353
+ "dead_fraction": 0.0,
1354
+ "mean_activation_freq": 0.9900480944434612,
1355
+ "min_activation_freq": 0.539444261470991
1356
+ },
1357
+ "layer_31": {
1358
+ "intermediate_size": 11008,
1359
+ "dead_count": 0,
1360
+ "dead_fraction": 0.0,
1361
+ "mean_activation_freq": 0.9908989758016151,
1362
+ "min_activation_freq": 0.9480212865537624
1363
+ },
1364
+ "layer_32": {
1365
+ "intermediate_size": 11008,
1366
+ "dead_count": 0,
1367
+ "dead_fraction": 0.0,
1368
+ "mean_activation_freq": 0.9891321313581541,
1369
+ "min_activation_freq": 0.6426921365713857
1370
+ },
1371
+ "layer_33": {
1372
+ "intermediate_size": 11008,
1373
+ "dead_count": 0,
1374
+ "dead_fraction": 0.0,
1375
+ "mean_activation_freq": 0.9872015542634652,
1376
+ "min_activation_freq": 0.9188996169113696
1377
+ },
1378
+ "layer_34": {
1379
+ "intermediate_size": 11008,
1380
+ "dead_count": 0,
1381
+ "dead_fraction": 0.0,
1382
+ "mean_activation_freq": 0.9881166690039453,
1383
+ "min_activation_freq": 0.885326492052211
1384
+ },
1385
+ "layer_35": {
1386
+ "intermediate_size": 11008,
1387
+ "dead_count": 0,
1388
+ "dead_fraction": 0.0,
1389
+ "mean_activation_freq": 0.9926269357967092,
1390
+ "min_activation_freq": 0.014739956201933356
1391
+ },
1392
+ "_overall": {
1393
+ "dead_count": 12614,
1394
+ "intermediate_total": 396288,
1395
+ "dead_fraction": 0.031830385981912145
1396
+ }
1397
+ },
1398
+ "size": 2363,
1399
+ "size_pre_filter": 2363,
1400
+ "skipped_long": 0
1401
+ },
1402
+ "negative": {
1403
+ "loss": 0.36386483941015146,
1404
+ "token_entropy": 0.02731881839556076,
1405
+ "num_supervised_tokens": 1199408,
1406
+ "kl_from_init": 2.278720135193453,
1407
+ "kl_to_init": 0.2985899163836923,
1408
+ "dead_units": {
1409
+ "layer_0": {
1410
+ "intermediate_size": 11008,
1411
+ "dead_count": 0,
1412
+ "dead_fraction": 0.0,
1413
+ "mean_activation_freq": 0.9232343597526523,
1414
+ "min_activation_freq": 0.7829612608887051
1415
+ },
1416
+ "layer_1": {
1417
+ "intermediate_size": 11008,
1418
+ "dead_count": 8819,
1419
+ "dead_fraction": 0.8011446220930233,
1420
+ "mean_activation_freq": 0.14715646831506643,
1421
+ "min_activation_freq": 0.0
1422
+ },
1423
+ "layer_2": {
1424
+ "intermediate_size": 11008,
1425
+ "dead_count": 3756,
1426
+ "dead_fraction": 0.34120639534883723,
1427
+ "mean_activation_freq": 0.16643790477272566,
1428
+ "min_activation_freq": 0.0
1429
+ },
1430
+ "layer_3": {
1431
+ "intermediate_size": 11008,
1432
+ "dead_count": 334,
1433
+ "dead_fraction": 0.03034156976744186,
1434
+ "mean_activation_freq": 0.38741990425426737,
1435
+ "min_activation_freq": 0.0
1436
+ },
1437
+ "layer_4": {
1438
+ "intermediate_size": 11008,
1439
+ "dead_count": 3,
1440
+ "dead_fraction": 0.00027252906976744186,
1441
+ "mean_activation_freq": 0.5601219591005981,
1442
+ "min_activation_freq": 0.0
1443
+ },
1444
+ "layer_5": {
1445
+ "intermediate_size": 11008,
1446
+ "dead_count": 0,
1447
+ "dead_fraction": 0.0,
1448
+ "mean_activation_freq": 0.7205781641126822,
1449
+ "min_activation_freq": 1.6674892947187278e-06
1450
+ },
1451
+ "layer_6": {
1452
+ "intermediate_size": 11008,
1453
+ "dead_count": 0,
1454
+ "dead_fraction": 0.0,
1455
+ "mean_activation_freq": 0.8722865718344984,
1456
+ "min_activation_freq": 0.09467670717553993
1457
+ },
1458
+ "layer_7": {
1459
+ "intermediate_size": 11008,
1460
+ "dead_count": 0,
1461
+ "dead_fraction": 0.0,
1462
+ "mean_activation_freq": 0.8863609835673,
1463
+ "min_activation_freq": 0.03682149860597895
1464
+ },
1465
+ "layer_8": {
1466
+ "intermediate_size": 11008,
1467
+ "dead_count": 0,
1468
+ "dead_fraction": 0.0,
1469
+ "mean_activation_freq": 0.9415828510978933,
1470
+ "min_activation_freq": 0.08554220081907074
1471
+ },
1472
+ "layer_9": {
1473
+ "intermediate_size": 11008,
1474
+ "dead_count": 0,
1475
+ "dead_fraction": 0.0,
1476
+ "mean_activation_freq": 0.9486341414774554,
1477
+ "min_activation_freq": 0.2677037338420287
1478
+ },
1479
+ "layer_10": {
1480
+ "intermediate_size": 11008,
1481
+ "dead_count": 0,
1482
+ "dead_fraction": 0.0,
1483
+ "mean_activation_freq": 0.9733529839231345,
1484
+ "min_activation_freq": 0.6589217347224631
1485
+ },
1486
+ "layer_11": {
1487
+ "intermediate_size": 11008,
1488
+ "dead_count": 0,
1489
+ "dead_fraction": 0.0,
1490
+ "mean_activation_freq": 0.9849943146582885,
1491
+ "min_activation_freq": 0.93318703893921
1492
+ },
1493
+ "layer_12": {
1494
+ "intermediate_size": 11008,
1495
+ "dead_count": 0,
1496
+ "dead_fraction": 0.0,
1497
+ "mean_activation_freq": 0.9867471815862056,
1498
+ "min_activation_freq": 0.9115647052545922
1499
+ },
1500
+ "layer_13": {
1501
+ "intermediate_size": 11008,
1502
+ "dead_count": 0,
1503
+ "dead_fraction": 0.0,
1504
+ "mean_activation_freq": 0.9807170704062599,
1505
+ "min_activation_freq": 0.8977653975961474
1506
+ },
1507
+ "layer_14": {
1508
+ "intermediate_size": 11008,
1509
+ "dead_count": 0,
1510
+ "dead_fraction": 0.0,
1511
+ "mean_activation_freq": 0.9827261413535232,
1512
+ "min_activation_freq": 0.8931172711871189
1513
+ },
1514
+ "layer_15": {
1515
+ "intermediate_size": 11008,
1516
+ "dead_count": 0,
1517
+ "dead_fraction": 0.0,
1518
+ "mean_activation_freq": 0.9798400624552782,
1519
+ "min_activation_freq": 0.9025627642970532
1520
+ },
1521
+ "layer_16": {
1522
+ "intermediate_size": 11008,
1523
+ "dead_count": 0,
1524
+ "dead_fraction": 0.0,
1525
+ "mean_activation_freq": 0.9790972251343366,
1526
+ "min_activation_freq": 0.9053941611194856
1527
+ },
1528
+ "layer_17": {
1529
+ "intermediate_size": 11008,
1530
+ "dead_count": 0,
1531
+ "dead_fraction": 0.0,
1532
+ "mean_activation_freq": 0.9790439266747322,
1533
+ "min_activation_freq": 0.9212361431639609
1534
+ },
1535
+ "layer_18": {
1536
+ "intermediate_size": 11008,
1537
+ "dead_count": 0,
1538
+ "dead_fraction": 0.0,
1539
+ "mean_activation_freq": 0.9795311940706395,
1540
+ "min_activation_freq": 0.9224083881381481
1541
+ },
1542
+ "layer_19": {
1543
+ "intermediate_size": 11008,
1544
+ "dead_count": 0,
1545
+ "dead_fraction": 0.0,
1546
+ "mean_activation_freq": 0.9767362468403502,
1547
+ "min_activation_freq": 0.9113754452196416
1548
+ },
1549
+ "layer_20": {
1550
+ "intermediate_size": 11008,
1551
+ "dead_count": 0,
1552
+ "dead_fraction": 0.0,
1553
+ "mean_activation_freq": 0.9793522261770992,
1554
+ "min_activation_freq": 0.9102582273921801
1555
+ },
1556
+ "layer_21": {
1557
+ "intermediate_size": 11008,
1558
+ "dead_count": 0,
1559
+ "dead_fraction": 0.0,
1560
+ "mean_activation_freq": 0.9797742516910329,
1561
+ "min_activation_freq": 0.9185239718261008
1562
+ },
1563
+ "layer_22": {
1564
+ "intermediate_size": 11008,
1565
+ "dead_count": 0,
1566
+ "dead_fraction": 0.0,
1567
+ "mean_activation_freq": 0.9795564710452165,
1568
+ "min_activation_freq": 0.9299337673252137
1569
+ },
1570
+ "layer_23": {
1571
+ "intermediate_size": 11008,
1572
+ "dead_count": 0,
1573
+ "dead_fraction": 0.0,
1574
+ "mean_activation_freq": 0.9797453059521961,
1575
+ "min_activation_freq": 0.939806137694596
1576
+ },
1577
+ "layer_24": {
1578
+ "intermediate_size": 11008,
1579
+ "dead_count": 0,
1580
+ "dead_fraction": 0.0,
1581
+ "mean_activation_freq": 0.9816539251357702,
1582
+ "min_activation_freq": 0.9288098795405733
1583
+ },
1584
+ "layer_25": {
1585
+ "intermediate_size": 11008,
1586
+ "dead_count": 0,
1587
+ "dead_fraction": 0.0,
1588
+ "mean_activation_freq": 0.9835888281799446,
1589
+ "min_activation_freq": 0.9447427397516107
1590
+ },
1591
+ "layer_26": {
1592
+ "intermediate_size": 11008,
1593
+ "dead_count": 0,
1594
+ "dead_fraction": 0.0,
1595
+ "mean_activation_freq": 0.9855839484464224,
1596
+ "min_activation_freq": 0.9550319824446727
1597
+ },
1598
+ "layer_27": {
1599
+ "intermediate_size": 11008,
1600
+ "dead_count": 0,
1601
+ "dead_fraction": 0.0,
1602
+ "mean_activation_freq": 0.9868049074964919,
1603
+ "min_activation_freq": 0.9367071088403612
1604
+ },
1605
+ "layer_28": {
1606
+ "intermediate_size": 11008,
1607
+ "dead_count": 0,
1608
+ "dead_fraction": 0.0,
1609
+ "mean_activation_freq": 0.9872043721438429,
1610
+ "min_activation_freq": 0.20368715232848203
1611
+ },
1612
+ "layer_29": {
1613
+ "intermediate_size": 11008,
1614
+ "dead_count": 0,
1615
+ "dead_fraction": 0.0,
1616
+ "mean_activation_freq": 0.9883927606956884,
1617
+ "min_activation_freq": 0.9601886930885903
1618
+ },
1619
+ "layer_30": {
1620
+ "intermediate_size": 11008,
1621
+ "dead_count": 0,
1622
+ "dead_fraction": 0.0,
1623
+ "mean_activation_freq": 0.9899655377194174,
1624
+ "min_activation_freq": 0.5536523018022224
1625
+ },
1626
+ "layer_31": {
1627
+ "intermediate_size": 11008,
1628
+ "dead_count": 0,
1629
+ "dead_fraction": 0.0,
1630
+ "mean_activation_freq": 0.9908340024386594,
1631
+ "min_activation_freq": 0.9466761935888371
1632
+ },
1633
+ "layer_32": {
1634
+ "intermediate_size": 11008,
1635
+ "dead_count": 0,
1636
+ "dead_fraction": 0.0,
1637
+ "mean_activation_freq": 0.9890515990008074,
1638
+ "min_activation_freq": 0.6367924842922508
1639
+ },
1640
+ "layer_33": {
1641
+ "intermediate_size": 11008,
1642
+ "dead_count": 0,
1643
+ "dead_fraction": 0.0,
1644
+ "mean_activation_freq": 0.9871070831262464,
1645
+ "min_activation_freq": 0.9162703600442885
1646
+ },
1647
+ "layer_34": {
1648
+ "intermediate_size": 11008,
1649
+ "dead_count": 0,
1650
+ "dead_fraction": 0.0,
1651
+ "mean_activation_freq": 0.9879964886359441,
1652
+ "min_activation_freq": 0.8932231567573335
1653
+ },
1654
+ "layer_35": {
1655
+ "intermediate_size": 11008,
1656
+ "dead_count": 0,
1657
+ "dead_fraction": 0.0,
1658
+ "mean_activation_freq": 0.9927141737973971,
1659
+ "min_activation_freq": 0.01715763109800835
1660
+ },
1661
+ "_overall": {
1662
+ "dead_count": 12912,
1663
+ "intermediate_total": 396288,
1664
+ "dead_fraction": 0.032582364341085274
1665
+ }
1666
+ },
1667
+ "size": 2757,
1668
+ "size_pre_filter": 2757,
1669
+ "skipped_long": 0
1670
+ }
1671
+ }
1672
+ }
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_450/generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "eos_token_id": 151643,
4
+ "max_new_tokens": 2048,
5
+ "transformers_version": "4.57.6"
6
+ }
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_450/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_450/model-00001-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7839bafe5e3e2ccdde75b804c64b9154491397489433edd2fe5240ff02ac3087
3
+ size 4971219280
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_450/model-00002-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:258ee031eeefafc5342b74571d6b369f02ce06c7410bb46020e35064c1c89006
3
+ size 1823037776
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_450/model.safetensors.index.json ADDED
@@ -0,0 +1,443 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_parameters": 3397103616,
4
+ "total_size": 6794207232
5
+ },
6
+ "weight_map": {
7
+ "lm_head.weight": "model-00002-of-00002.safetensors",
8
+ "model.embed_tokens.weight": "model-00001-of-00002.safetensors",
9
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
10
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
11
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
12
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
13
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
14
+ "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
15
+ "model.layers.0.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
16
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
17
+ "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
18
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
19
+ "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
20
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
21
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
22
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
23
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
24
+ "model.layers.1.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
25
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
26
+ "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
27
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
28
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
29
+ "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
30
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
31
+ "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
32
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
33
+ "model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
34
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
35
+ "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
36
+ "model.layers.10.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
37
+ "model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
38
+ "model.layers.10.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
39
+ "model.layers.10.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
40
+ "model.layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
41
+ "model.layers.10.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
42
+ "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
43
+ "model.layers.10.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
44
+ "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
45
+ "model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
46
+ "model.layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
47
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
48
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
49
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
50
+ "model.layers.11.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
51
+ "model.layers.11.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
52
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
53
+ "model.layers.11.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
54
+ "model.layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
55
+ "model.layers.11.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
56
+ "model.layers.11.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
57
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00002.safetensors",
58
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
59
+ "model.layers.12.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
60
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
61
+ "model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
62
+ "model.layers.12.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
63
+ "model.layers.12.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
64
+ "model.layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
65
+ "model.layers.12.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
66
+ "model.layers.12.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
67
+ "model.layers.12.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
68
+ "model.layers.12.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
69
+ "model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
70
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
71
+ "model.layers.13.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
72
+ "model.layers.13.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
73
+ "model.layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
74
+ "model.layers.13.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
75
+ "model.layers.13.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
76
+ "model.layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
77
+ "model.layers.13.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
78
+ "model.layers.13.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
79
+ "model.layers.13.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
80
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
81
+ "model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
82
+ "model.layers.14.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
83
+ "model.layers.14.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
84
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
85
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
86
+ "model.layers.14.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
87
+ "model.layers.14.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
88
+ "model.layers.14.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
89
+ "model.layers.14.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
90
+ "model.layers.14.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
91
+ "model.layers.14.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
92
+ "model.layers.14.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
93
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00002.safetensors",
94
+ "model.layers.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
95
+ "model.layers.15.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
96
+ "model.layers.15.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
97
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
98
+ "model.layers.15.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
99
+ "model.layers.15.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
100
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
101
+ "model.layers.15.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
102
+ "model.layers.15.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
103
+ "model.layers.15.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
104
+ "model.layers.15.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
105
+ "model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
106
+ "model.layers.16.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
107
+ "model.layers.16.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
108
+ "model.layers.16.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
109
+ "model.layers.16.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
110
+ "model.layers.16.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
111
+ "model.layers.16.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
112
+ "model.layers.16.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
113
+ "model.layers.16.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
114
+ "model.layers.16.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
115
+ "model.layers.16.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
116
+ "model.layers.16.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
117
+ "model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
118
+ "model.layers.17.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
119
+ "model.layers.17.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
120
+ "model.layers.17.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
121
+ "model.layers.17.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
122
+ "model.layers.17.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
123
+ "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
124
+ "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
125
+ "model.layers.17.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
126
+ "model.layers.17.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
127
+ "model.layers.17.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
128
+ "model.layers.17.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
129
+ "model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
130
+ "model.layers.18.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
131
+ "model.layers.18.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
132
+ "model.layers.18.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
133
+ "model.layers.18.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
134
+ "model.layers.18.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
135
+ "model.layers.18.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
136
+ "model.layers.18.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
137
+ "model.layers.18.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
138
+ "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
139
+ "model.layers.18.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
140
+ "model.layers.18.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
141
+ "model.layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
142
+ "model.layers.19.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
143
+ "model.layers.19.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
144
+ "model.layers.19.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
145
+ "model.layers.19.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
146
+ "model.layers.19.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
147
+ "model.layers.19.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
148
+ "model.layers.19.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
149
+ "model.layers.19.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
150
+ "model.layers.19.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
151
+ "model.layers.19.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
152
+ "model.layers.19.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
153
+ "model.layers.2.input_layernorm.weight": "model-00002-of-00002.safetensors",
154
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
155
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
156
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
157
+ "model.layers.2.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
158
+ "model.layers.2.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
159
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
160
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
161
+ "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
162
+ "model.layers.2.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
163
+ "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
164
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
165
+ "model.layers.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
166
+ "model.layers.20.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
167
+ "model.layers.20.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
168
+ "model.layers.20.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
169
+ "model.layers.20.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
170
+ "model.layers.20.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
171
+ "model.layers.20.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
172
+ "model.layers.20.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
173
+ "model.layers.20.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
174
+ "model.layers.20.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
175
+ "model.layers.20.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
176
+ "model.layers.20.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
177
+ "model.layers.21.input_layernorm.weight": "model-00001-of-00002.safetensors",
178
+ "model.layers.21.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
179
+ "model.layers.21.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
180
+ "model.layers.21.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
181
+ "model.layers.21.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
182
+ "model.layers.21.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
183
+ "model.layers.21.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
184
+ "model.layers.21.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
185
+ "model.layers.21.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
186
+ "model.layers.21.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
187
+ "model.layers.21.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
188
+ "model.layers.21.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
189
+ "model.layers.22.input_layernorm.weight": "model-00001-of-00002.safetensors",
190
+ "model.layers.22.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
191
+ "model.layers.22.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
192
+ "model.layers.22.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
193
+ "model.layers.22.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
194
+ "model.layers.22.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
195
+ "model.layers.22.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
196
+ "model.layers.22.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
197
+ "model.layers.22.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
198
+ "model.layers.22.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
199
+ "model.layers.22.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
200
+ "model.layers.22.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
201
+ "model.layers.23.input_layernorm.weight": "model-00002-of-00002.safetensors",
202
+ "model.layers.23.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
203
+ "model.layers.23.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
204
+ "model.layers.23.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
205
+ "model.layers.23.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
206
+ "model.layers.23.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
207
+ "model.layers.23.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
208
+ "model.layers.23.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
209
+ "model.layers.23.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
210
+ "model.layers.23.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
211
+ "model.layers.23.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
212
+ "model.layers.23.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
213
+ "model.layers.24.input_layernorm.weight": "model-00001-of-00002.safetensors",
214
+ "model.layers.24.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
215
+ "model.layers.24.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
216
+ "model.layers.24.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
217
+ "model.layers.24.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
218
+ "model.layers.24.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
219
+ "model.layers.24.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
220
+ "model.layers.24.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
221
+ "model.layers.24.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
222
+ "model.layers.24.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
223
+ "model.layers.24.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
224
+ "model.layers.24.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
225
+ "model.layers.25.input_layernorm.weight": "model-00001-of-00002.safetensors",
226
+ "model.layers.25.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
227
+ "model.layers.25.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
228
+ "model.layers.25.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
229
+ "model.layers.25.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
230
+ "model.layers.25.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
231
+ "model.layers.25.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
232
+ "model.layers.25.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
233
+ "model.layers.25.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
234
+ "model.layers.25.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
235
+ "model.layers.25.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
236
+ "model.layers.25.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
237
+ "model.layers.26.input_layernorm.weight": "model-00001-of-00002.safetensors",
238
+ "model.layers.26.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
239
+ "model.layers.26.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
240
+ "model.layers.26.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
241
+ "model.layers.26.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
242
+ "model.layers.26.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
243
+ "model.layers.26.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
244
+ "model.layers.26.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
245
+ "model.layers.26.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
246
+ "model.layers.26.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
247
+ "model.layers.26.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
248
+ "model.layers.26.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
249
+ "model.layers.27.input_layernorm.weight": "model-00001-of-00002.safetensors",
250
+ "model.layers.27.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
251
+ "model.layers.27.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
252
+ "model.layers.27.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
253
+ "model.layers.27.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
254
+ "model.layers.27.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
255
+ "model.layers.27.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
256
+ "model.layers.27.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
257
+ "model.layers.27.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
258
+ "model.layers.27.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
259
+ "model.layers.27.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
260
+ "model.layers.27.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
261
+ "model.layers.28.input_layernorm.weight": "model-00001-of-00002.safetensors",
262
+ "model.layers.28.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
263
+ "model.layers.28.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
264
+ "model.layers.28.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
265
+ "model.layers.28.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
266
+ "model.layers.28.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
267
+ "model.layers.28.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
268
+ "model.layers.28.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
269
+ "model.layers.28.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
270
+ "model.layers.28.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
271
+ "model.layers.28.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
272
+ "model.layers.28.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
273
+ "model.layers.29.input_layernorm.weight": "model-00001-of-00002.safetensors",
274
+ "model.layers.29.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
275
+ "model.layers.29.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
276
+ "model.layers.29.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
277
+ "model.layers.29.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
278
+ "model.layers.29.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
279
+ "model.layers.29.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
280
+ "model.layers.29.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
281
+ "model.layers.29.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
282
+ "model.layers.29.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
283
+ "model.layers.29.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
284
+ "model.layers.29.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
285
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
286
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
287
+ "model.layers.3.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
288
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
289
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
290
+ "model.layers.3.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
291
+ "model.layers.3.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
292
+ "model.layers.3.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
293
+ "model.layers.3.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
294
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
295
+ "model.layers.3.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
296
+ "model.layers.3.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
297
+ "model.layers.30.input_layernorm.weight": "model-00001-of-00002.safetensors",
298
+ "model.layers.30.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
299
+ "model.layers.30.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
300
+ "model.layers.30.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
301
+ "model.layers.30.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
302
+ "model.layers.30.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
303
+ "model.layers.30.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
304
+ "model.layers.30.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
305
+ "model.layers.30.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
306
+ "model.layers.30.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
307
+ "model.layers.30.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
308
+ "model.layers.30.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
309
+ "model.layers.31.input_layernorm.weight": "model-00001-of-00002.safetensors",
310
+ "model.layers.31.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
311
+ "model.layers.31.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
312
+ "model.layers.31.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
313
+ "model.layers.31.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
314
+ "model.layers.31.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
315
+ "model.layers.31.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
316
+ "model.layers.31.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
317
+ "model.layers.31.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
318
+ "model.layers.31.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
319
+ "model.layers.31.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
320
+ "model.layers.31.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
321
+ "model.layers.32.input_layernorm.weight": "model-00001-of-00002.safetensors",
322
+ "model.layers.32.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
323
+ "model.layers.32.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
324
+ "model.layers.32.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
325
+ "model.layers.32.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
326
+ "model.layers.32.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
327
+ "model.layers.32.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
328
+ "model.layers.32.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
329
+ "model.layers.32.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
330
+ "model.layers.32.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
331
+ "model.layers.32.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
332
+ "model.layers.32.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
333
+ "model.layers.33.input_layernorm.weight": "model-00001-of-00002.safetensors",
334
+ "model.layers.33.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
335
+ "model.layers.33.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
336
+ "model.layers.33.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
337
+ "model.layers.33.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
338
+ "model.layers.33.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
339
+ "model.layers.33.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
340
+ "model.layers.33.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
341
+ "model.layers.33.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
342
+ "model.layers.33.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
343
+ "model.layers.33.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
344
+ "model.layers.33.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
345
+ "model.layers.34.input_layernorm.weight": "model-00001-of-00002.safetensors",
346
+ "model.layers.34.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
347
+ "model.layers.34.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
348
+ "model.layers.34.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
349
+ "model.layers.34.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
350
+ "model.layers.34.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
351
+ "model.layers.34.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
352
+ "model.layers.34.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
353
+ "model.layers.34.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
354
+ "model.layers.34.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
355
+ "model.layers.34.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
356
+ "model.layers.34.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
357
+ "model.layers.35.input_layernorm.weight": "model-00002-of-00002.safetensors",
358
+ "model.layers.35.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
359
+ "model.layers.35.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
360
+ "model.layers.35.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
361
+ "model.layers.35.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
362
+ "model.layers.35.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
363
+ "model.layers.35.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
364
+ "model.layers.35.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
365
+ "model.layers.35.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
366
+ "model.layers.35.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
367
+ "model.layers.35.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
368
+ "model.layers.35.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
369
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
370
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
371
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
372
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
373
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
374
+ "model.layers.4.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
375
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
376
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
377
+ "model.layers.4.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
378
+ "model.layers.4.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
379
+ "model.layers.4.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
380
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
381
+ "model.layers.5.input_layernorm.weight": "model-00002-of-00002.safetensors",
382
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
383
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
384
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
385
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
386
+ "model.layers.5.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
387
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
388
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
389
+ "model.layers.5.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
390
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
391
+ "model.layers.5.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
392
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
393
+ "model.layers.6.input_layernorm.weight": "model-00002-of-00002.safetensors",
394
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
395
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
396
+ "model.layers.6.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
397
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
398
+ "model.layers.6.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
399
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
400
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
401
+ "model.layers.6.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
402
+ "model.layers.6.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
403
+ "model.layers.6.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
404
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
405
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
406
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
407
+ "model.layers.7.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
408
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
409
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
410
+ "model.layers.7.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
411
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
412
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
413
+ "model.layers.7.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
414
+ "model.layers.7.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
415
+ "model.layers.7.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
416
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
417
+ "model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
418
+ "model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
419
+ "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
420
+ "model.layers.8.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
421
+ "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
422
+ "model.layers.8.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
423
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
424
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
425
+ "model.layers.8.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
426
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
427
+ "model.layers.8.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
428
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
429
+ "model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
430
+ "model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
431
+ "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
432
+ "model.layers.9.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
433
+ "model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
434
+ "model.layers.9.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
435
+ "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
436
+ "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
437
+ "model.layers.9.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
438
+ "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
439
+ "model.layers.9.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
440
+ "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
441
+ "model.norm.weight": "model-00002-of-00002.safetensors"
442
+ }
443
+ }
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_450/special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|endoftext|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_450/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
3
+ size 11421896
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_450/tokenizer_config.json ADDED
@@ -0,0 +1,207 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ }
181
+ },
182
+ "additional_special_tokens": [
183
+ "<|im_start|>",
184
+ "<|im_end|>",
185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "clean_up_tokenization_spaces": false,
199
+ "eos_token": "<|endoftext|>",
200
+ "errors": "replace",
201
+ "extra_special_tokens": {},
202
+ "model_max_length": 131072,
203
+ "pad_token": "<|endoftext|>",
204
+ "split_special_tokens": false,
205
+ "tokenizer_class": "Qwen2Tokenizer",
206
+ "unk_token": null
207
+ }
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_450/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_50/added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_50/chat_template.jinja ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0]['role'] == 'system' %}
4
+ {{- messages[0]['content'] }}
5
+ {%- else %}
6
+ {{- 'You are a helpful assistant.' }}
7
+ {%- endif %}
8
+ {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
9
+ {%- for tool in tools %}
10
+ {{- "\n" }}
11
+ {{- tool | tojson }}
12
+ {%- endfor %}
13
+ {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
14
+ {%- else %}
15
+ {%- if messages[0]['role'] == 'system' %}
16
+ {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
17
+ {%- else %}
18
+ {{- '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}
19
+ {%- endif %}
20
+ {%- endif %}
21
+ {%- for message in messages %}
22
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
23
+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
24
+ {%- elif message.role == "assistant" %}
25
+ {{- '<|im_start|>' + message.role }}
26
+ {%- if message.content %}
27
+ {{- '\n' + message.content }}
28
+ {%- endif %}
29
+ {%- for tool_call in message.tool_calls %}
30
+ {%- if tool_call.function is defined %}
31
+ {%- set tool_call = tool_call.function %}
32
+ {%- endif %}
33
+ {{- '\n<tool_call>\n{"name": "' }}
34
+ {{- tool_call.name }}
35
+ {{- '", "arguments": ' }}
36
+ {{- tool_call.arguments | tojson }}
37
+ {{- '}\n</tool_call>' }}
38
+ {%- endfor %}
39
+ {{- '<|im_end|>\n' }}
40
+ {%- elif message.role == "tool" %}
41
+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
42
+ {{- '<|im_start|>user' }}
43
+ {%- endif %}
44
+ {{- '\n<tool_response>\n' }}
45
+ {{- message.content }}
46
+ {{- '\n</tool_response>' }}
47
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
48
+ {{- '<|im_end|>\n' }}
49
+ {%- endif %}
50
+ {%- endif %}
51
+ {%- endfor %}
52
+ {%- if add_generation_prompt %}
53
+ {{- '<|im_start|>assistant\n' }}
54
+ {%- endif %}
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_50/config.json ADDED
@@ -0,0 +1,67 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen2ForCausalLM"
4
+ ],
5
+ "attention_dropout": 0.0,
6
+ "dtype": "bfloat16",
7
+ "eos_token_id": 151643,
8
+ "hidden_act": "silu",
9
+ "hidden_size": 2048,
10
+ "initializer_range": 0.02,
11
+ "intermediate_size": 11008,
12
+ "layer_types": [
13
+ "full_attention",
14
+ "full_attention",
15
+ "full_attention",
16
+ "full_attention",
17
+ "full_attention",
18
+ "full_attention",
19
+ "full_attention",
20
+ "full_attention",
21
+ "full_attention",
22
+ "full_attention",
23
+ "full_attention",
24
+ "full_attention",
25
+ "full_attention",
26
+ "full_attention",
27
+ "full_attention",
28
+ "full_attention",
29
+ "full_attention",
30
+ "full_attention",
31
+ "full_attention",
32
+ "full_attention",
33
+ "full_attention",
34
+ "full_attention",
35
+ "full_attention",
36
+ "full_attention",
37
+ "full_attention",
38
+ "full_attention",
39
+ "full_attention",
40
+ "full_attention",
41
+ "full_attention",
42
+ "full_attention",
43
+ "full_attention",
44
+ "full_attention",
45
+ "full_attention",
46
+ "full_attention",
47
+ "full_attention",
48
+ "full_attention"
49
+ ],
50
+ "max_position_embeddings": 32768,
51
+ "max_window_layers": 36,
52
+ "model_type": "qwen2",
53
+ "num_attention_heads": 16,
54
+ "num_hidden_layers": 36,
55
+ "num_key_value_heads": 2,
56
+ "pad_token_id": 151643,
57
+ "rms_norm_eps": 1e-06,
58
+ "rope_scaling": null,
59
+ "rope_theta": 1000000.0,
60
+ "sliding_window": null,
61
+ "tie_word_embeddings": true,
62
+ "transformers_version": "4.57.6",
63
+ "use_cache": true,
64
+ "use_mrope": false,
65
+ "use_sliding_window": false,
66
+ "vocab_size": 151936
67
+ }
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_50/eval_metrics.json ADDED
@@ -0,0 +1,1661 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "global_step": 50,
3
+ "ckpt_dir": "/mnt/mystorageoutput/projects/jy_intern/amlt-results/7213899235.25497-028989ec-3fee/qwen3b_kk_rlrb_bs128_nobuf/checkpoints_hf_format/global_step_50",
4
+ "rollouts_dir": "/mnt/mystorageoutput/projects/jy_intern/amlt-results/7213899235.25497-028989ec-3fee/qwen3b_kk_rlrb_bs128_nobuf/rollouts/training",
5
+ "init_model_path": "Qwen/Qwen2.5-3B",
6
+ "prev_step": null,
7
+ "positive_score": 1.0,
8
+ "negative_score": 0.0,
9
+ "history_step_stride": 25,
10
+ "max_samples_per_class": 0,
11
+ "in_batch": {
12
+ "num_records": 1024,
13
+ "source_steps": [
14
+ 50
15
+ ],
16
+ "num_source_steps": 1,
17
+ "num_positives_pre_cap": 135,
18
+ "num_negatives_pre_cap": 889,
19
+ "positive": {
20
+ "loss": 0.5323018600937167,
21
+ "token_entropy": 0.5160264580926717,
22
+ "num_supervised_tokens": 57966,
23
+ "kl_from_init": 0.019184807806788603,
24
+ "kl_to_init": 0.01516234711436214,
25
+ "dead_units": {
26
+ "layer_0": {
27
+ "intermediate_size": 11008,
28
+ "dead_count": 0,
29
+ "dead_fraction": 0.0,
30
+ "mean_activation_freq": 0.9257979326067445,
31
+ "min_activation_freq": 0.8031259703964393
32
+ },
33
+ "layer_1": {
34
+ "intermediate_size": 11008,
35
+ "dead_count": 8815,
36
+ "dead_fraction": 0.80078125,
37
+ "mean_activation_freq": 0.14806244616431122,
38
+ "min_activation_freq": 0.0
39
+ },
40
+ "layer_2": {
41
+ "intermediate_size": 11008,
42
+ "dead_count": 6795,
43
+ "dead_fraction": 0.6172783430232558,
44
+ "mean_activation_freq": 0.1665722614484714,
45
+ "min_activation_freq": 0.0
46
+ },
47
+ "layer_3": {
48
+ "intermediate_size": 11008,
49
+ "dead_count": 273,
50
+ "dead_fraction": 0.024800145348837208,
51
+ "mean_activation_freq": 0.38418125577473644,
52
+ "min_activation_freq": 0.0
53
+ },
54
+ "layer_4": {
55
+ "intermediate_size": 11008,
56
+ "dead_count": 13,
57
+ "dead_fraction": 0.0011809593023255813,
58
+ "mean_activation_freq": 0.5377694263713332,
59
+ "min_activation_freq": 0.0
60
+ },
61
+ "layer_5": {
62
+ "intermediate_size": 11008,
63
+ "dead_count": 1,
64
+ "dead_fraction": 9.084302325581395e-05,
65
+ "mean_activation_freq": 0.7072433581002576,
66
+ "min_activation_freq": 0.0
67
+ },
68
+ "layer_6": {
69
+ "intermediate_size": 11008,
70
+ "dead_count": 0,
71
+ "dead_fraction": 0.0,
72
+ "mean_activation_freq": 0.8571080194539662,
73
+ "min_activation_freq": 0.0798744091363903
74
+ },
75
+ "layer_7": {
76
+ "intermediate_size": 11008,
77
+ "dead_count": 0,
78
+ "dead_fraction": 0.0,
79
+ "mean_activation_freq": 0.8755869378295337,
80
+ "min_activation_freq": 0.0451471552289273
81
+ },
82
+ "layer_8": {
83
+ "intermediate_size": 11008,
84
+ "dead_count": 0,
85
+ "dead_fraction": 0.0,
86
+ "mean_activation_freq": 0.9399914881563491,
87
+ "min_activation_freq": 0.0838250008625746
88
+ },
89
+ "layer_9": {
90
+ "intermediate_size": 11008,
91
+ "dead_count": 0,
92
+ "dead_fraction": 0.0,
93
+ "mean_activation_freq": 0.9495766291351426,
94
+ "min_activation_freq": 0.25062967946727394
95
+ },
96
+ "layer_10": {
97
+ "intermediate_size": 11008,
98
+ "dead_count": 0,
99
+ "dead_fraction": 0.0,
100
+ "mean_activation_freq": 0.9740605477980676,
101
+ "min_activation_freq": 0.6930787013076631
102
+ },
103
+ "layer_11": {
104
+ "intermediate_size": 11008,
105
+ "dead_count": 0,
106
+ "dead_fraction": 0.0,
107
+ "mean_activation_freq": 0.9850992100596861,
108
+ "min_activation_freq": 0.9299934444329434
109
+ },
110
+ "layer_12": {
111
+ "intermediate_size": 11008,
112
+ "dead_count": 0,
113
+ "dead_fraction": 0.0,
114
+ "mean_activation_freq": 0.986613178954042,
115
+ "min_activation_freq": 0.9268536728427009
116
+ },
117
+ "layer_13": {
118
+ "intermediate_size": 11008,
119
+ "dead_count": 0,
120
+ "dead_fraction": 0.0,
121
+ "mean_activation_freq": 0.9806384267637043,
122
+ "min_activation_freq": 0.9023047993651451
123
+ },
124
+ "layer_14": {
125
+ "intermediate_size": 11008,
126
+ "dead_count": 0,
127
+ "dead_fraction": 0.0,
128
+ "mean_activation_freq": 0.982668479816055,
129
+ "min_activation_freq": 0.9016147396749818
130
+ },
131
+ "layer_15": {
132
+ "intermediate_size": 11008,
133
+ "dead_count": 0,
134
+ "dead_fraction": 0.0,
135
+ "mean_activation_freq": 0.9795697698490453,
136
+ "min_activation_freq": 0.9132594969464859
137
+ },
138
+ "layer_16": {
139
+ "intermediate_size": 11008,
140
+ "dead_count": 0,
141
+ "dead_fraction": 0.0,
142
+ "mean_activation_freq": 0.9788769331199766,
143
+ "min_activation_freq": 0.9069799537660007
144
+ },
145
+ "layer_17": {
146
+ "intermediate_size": 11008,
147
+ "dead_count": 0,
148
+ "dead_fraction": 0.0,
149
+ "mean_activation_freq": 0.9782176716062101,
150
+ "min_activation_freq": 0.9200565848945934
151
+ },
152
+ "layer_18": {
153
+ "intermediate_size": 11008,
154
+ "dead_count": 0,
155
+ "dead_fraction": 0.0,
156
+ "mean_activation_freq": 0.9787944933036126,
157
+ "min_activation_freq": 0.9219369975502881
158
+ },
159
+ "layer_19": {
160
+ "intermediate_size": 11008,
161
+ "dead_count": 0,
162
+ "dead_fraction": 0.0,
163
+ "mean_activation_freq": 0.9757164465747362,
164
+ "min_activation_freq": 0.923869164682745
165
+ },
166
+ "layer_20": {
167
+ "intermediate_size": 11008,
168
+ "dead_count": 0,
169
+ "dead_fraction": 0.0,
170
+ "mean_activation_freq": 0.9787101556350395,
171
+ "min_activation_freq": 0.9219715005347963
172
+ },
173
+ "layer_21": {
174
+ "intermediate_size": 11008,
175
+ "dead_count": 0,
176
+ "dead_fraction": 0.0,
177
+ "mean_activation_freq": 0.979093020284445,
178
+ "min_activation_freq": 0.919314770727668
179
+ },
180
+ "layer_22": {
181
+ "intermediate_size": 11008,
182
+ "dead_count": 0,
183
+ "dead_fraction": 0.0,
184
+ "mean_activation_freq": 0.9787657794735727,
185
+ "min_activation_freq": 0.9271987026877825
186
+ },
187
+ "layer_23": {
188
+ "intermediate_size": 11008,
189
+ "dead_count": 0,
190
+ "dead_fraction": 0.0,
191
+ "mean_activation_freq": 0.9786343214727318,
192
+ "min_activation_freq": 0.9332367249767105
193
+ },
194
+ "layer_24": {
195
+ "intermediate_size": 11008,
196
+ "dead_count": 0,
197
+ "dead_fraction": 0.0,
198
+ "mean_activation_freq": 0.9799686698608004,
199
+ "min_activation_freq": 0.9390504778663354
200
+ },
201
+ "layer_25": {
202
+ "intermediate_size": 11008,
203
+ "dead_count": 0,
204
+ "dead_fraction": 0.0,
205
+ "mean_activation_freq": 0.9818000032120874,
206
+ "min_activation_freq": 0.9466756374426388
207
+ },
208
+ "layer_26": {
209
+ "intermediate_size": 11008,
210
+ "dead_count": 0,
211
+ "dead_fraction": 0.0,
212
+ "mean_activation_freq": 0.9839497306560622,
213
+ "min_activation_freq": 0.9461063381982542
214
+ },
215
+ "layer_27": {
216
+ "intermediate_size": 11008,
217
+ "dead_count": 0,
218
+ "dead_fraction": 0.0,
219
+ "mean_activation_freq": 0.9851414878128236,
220
+ "min_activation_freq": 0.9318911085808922
221
+ },
222
+ "layer_28": {
223
+ "intermediate_size": 11008,
224
+ "dead_count": 0,
225
+ "dead_fraction": 0.0,
226
+ "mean_activation_freq": 0.98565024854937,
227
+ "min_activation_freq": 0.3703205327260808
228
+ },
229
+ "layer_29": {
230
+ "intermediate_size": 11008,
231
+ "dead_count": 0,
232
+ "dead_fraction": 0.0,
233
+ "mean_activation_freq": 0.9871876827956083,
234
+ "min_activation_freq": 0.948866576958907
235
+ },
236
+ "layer_30": {
237
+ "intermediate_size": 11008,
238
+ "dead_count": 0,
239
+ "dead_fraction": 0.0,
240
+ "mean_activation_freq": 0.9893874549254615,
241
+ "min_activation_freq": 0.7300659007004106
242
+ },
243
+ "layer_31": {
244
+ "intermediate_size": 11008,
245
+ "dead_count": 0,
246
+ "dead_fraction": 0.0,
247
+ "mean_activation_freq": 0.9910859307862108,
248
+ "min_activation_freq": 0.9613049028740986
249
+ },
250
+ "layer_32": {
251
+ "intermediate_size": 11008,
252
+ "dead_count": 0,
253
+ "dead_fraction": 0.0,
254
+ "mean_activation_freq": 0.9901168413731305,
255
+ "min_activation_freq": 0.6973225684021668
256
+ },
257
+ "layer_33": {
258
+ "intermediate_size": 11008,
259
+ "dead_count": 0,
260
+ "dead_fraction": 0.0,
261
+ "mean_activation_freq": 0.9889304392626109,
262
+ "min_activation_freq": 0.7330504088603664
263
+ },
264
+ "layer_34": {
265
+ "intermediate_size": 11008,
266
+ "dead_count": 0,
267
+ "dead_fraction": 0.0,
268
+ "mean_activation_freq": 0.9897005864353924,
269
+ "min_activation_freq": 0.9619777110720077
270
+ },
271
+ "layer_35": {
272
+ "intermediate_size": 11008,
273
+ "dead_count": 0,
274
+ "dead_fraction": 0.0,
275
+ "mean_activation_freq": 0.9919690056505658,
276
+ "min_activation_freq": 0.4240071766207777
277
+ },
278
+ "_overall": {
279
+ "dead_count": 15897,
280
+ "intermediate_total": 396288,
281
+ "dead_fraction": 0.04011476501937984
282
+ }
283
+ },
284
+ "size": 135,
285
+ "size_pre_filter": 135,
286
+ "skipped_long": 0
287
+ },
288
+ "negative": {
289
+ "loss": 0.5695136389745414,
290
+ "token_entropy": 0.5503148484296927,
291
+ "num_supervised_tokens": 442367,
292
+ "kl_from_init": 0.017577095548839062,
293
+ "kl_to_init": 0.01412768296119,
294
+ "dead_units": {
295
+ "layer_0": {
296
+ "intermediate_size": 11008,
297
+ "dead_count": 0,
298
+ "dead_fraction": 0.0,
299
+ "mean_activation_freq": 0.9251755921277824,
300
+ "min_activation_freq": 0.8034753948644451
301
+ },
302
+ "layer_1": {
303
+ "intermediate_size": 11008,
304
+ "dead_count": 1043,
305
+ "dead_fraction": 0.09474927325581395,
306
+ "mean_activation_freq": 0.14780358545783645,
307
+ "min_activation_freq": 0.0
308
+ },
309
+ "layer_2": {
310
+ "intermediate_size": 11008,
311
+ "dead_count": 693,
312
+ "dead_fraction": 0.06295421511627906,
313
+ "mean_activation_freq": 0.16659566390628722,
314
+ "min_activation_freq": 0.0
315
+ },
316
+ "layer_3": {
317
+ "intermediate_size": 11008,
318
+ "dead_count": 6,
319
+ "dead_fraction": 0.0005450581395348837,
320
+ "mean_activation_freq": 0.38592202744120024,
321
+ "min_activation_freq": 0.0
322
+ },
323
+ "layer_4": {
324
+ "intermediate_size": 11008,
325
+ "dead_count": 0,
326
+ "dead_fraction": 0.0,
327
+ "mean_activation_freq": 0.5410098096065504,
328
+ "min_activation_freq": 4.069019614935111e-05
329
+ },
330
+ "layer_5": {
331
+ "intermediate_size": 11008,
332
+ "dead_count": 0,
333
+ "dead_fraction": 0.0,
334
+ "mean_activation_freq": 0.711324254005842,
335
+ "min_activation_freq": 9.72043574678943e-05
336
+ },
337
+ "layer_6": {
338
+ "intermediate_size": 11008,
339
+ "dead_count": 0,
340
+ "dead_fraction": 0.0,
341
+ "mean_activation_freq": 0.8614285931940338,
342
+ "min_activation_freq": 0.08419027639946018
343
+ },
344
+ "layer_7": {
345
+ "intermediate_size": 11008,
346
+ "dead_count": 0,
347
+ "dead_fraction": 0.0,
348
+ "mean_activation_freq": 0.8792585032603544,
349
+ "min_activation_freq": 0.04969177176416866
350
+ },
351
+ "layer_8": {
352
+ "intermediate_size": 11008,
353
+ "dead_count": 0,
354
+ "dead_fraction": 0.0,
355
+ "mean_activation_freq": 0.9406680343838466,
356
+ "min_activation_freq": 0.08926072695295988
357
+ },
358
+ "layer_9": {
359
+ "intermediate_size": 11008,
360
+ "dead_count": 0,
361
+ "dead_fraction": 0.0,
362
+ "mean_activation_freq": 0.9502739330523914,
363
+ "min_activation_freq": 0.2648185782393352
364
+ },
365
+ "layer_10": {
366
+ "intermediate_size": 11008,
367
+ "dead_count": 0,
368
+ "dead_fraction": 0.0,
369
+ "mean_activation_freq": 0.9742425189280383,
370
+ "min_activation_freq": 0.7015035027477186
371
+ },
372
+ "layer_11": {
373
+ "intermediate_size": 11008,
374
+ "dead_count": 0,
375
+ "dead_fraction": 0.0,
376
+ "mean_activation_freq": 0.9850943796843996,
377
+ "min_activation_freq": 0.9288916216625562
378
+ },
379
+ "layer_12": {
380
+ "intermediate_size": 11008,
381
+ "dead_count": 0,
382
+ "dead_fraction": 0.0,
383
+ "mean_activation_freq": 0.9866383428752019,
384
+ "min_activation_freq": 0.9282880504196741
385
+ },
386
+ "layer_13": {
387
+ "intermediate_size": 11008,
388
+ "dead_count": 0,
389
+ "dead_fraction": 0.0,
390
+ "mean_activation_freq": 0.9805740189200738,
391
+ "min_activation_freq": 0.9026147972158863
392
+ },
393
+ "layer_14": {
394
+ "intermediate_size": 11008,
395
+ "dead_count": 0,
396
+ "dead_fraction": 0.0,
397
+ "mean_activation_freq": 0.9826694995397643,
398
+ "min_activation_freq": 0.901007534467987
399
+ },
400
+ "layer_15": {
401
+ "intermediate_size": 11008,
402
+ "dead_count": 0,
403
+ "dead_fraction": 0.0,
404
+ "mean_activation_freq": 0.9795293437641958,
405
+ "min_activation_freq": 0.9120684861212522
406
+ },
407
+ "layer_16": {
408
+ "intermediate_size": 11008,
409
+ "dead_count": 0,
410
+ "dead_fraction": 0.0,
411
+ "mean_activation_freq": 0.9788720653806023,
412
+ "min_activation_freq": 0.9085487841543334
413
+ },
414
+ "layer_17": {
415
+ "intermediate_size": 11008,
416
+ "dead_count": 0,
417
+ "dead_fraction": 0.0,
418
+ "mean_activation_freq": 0.978181670766331,
419
+ "min_activation_freq": 0.9223133732850778
420
+ },
421
+ "layer_18": {
422
+ "intermediate_size": 11008,
423
+ "dead_count": 0,
424
+ "dead_fraction": 0.0,
425
+ "mean_activation_freq": 0.9787911977639608,
426
+ "min_activation_freq": 0.9235499031347275
427
+ },
428
+ "layer_19": {
429
+ "intermediate_size": 11008,
430
+ "dead_count": 0,
431
+ "dead_fraction": 0.0,
432
+ "mean_activation_freq": 0.9756473383804729,
433
+ "min_activation_freq": 0.9236448469257427
434
+ },
435
+ "layer_20": {
436
+ "intermediate_size": 11008,
437
+ "dead_count": 0,
438
+ "dead_fraction": 0.0,
439
+ "mean_activation_freq": 0.9787087209722897,
440
+ "min_activation_freq": 0.9204597087938295
441
+ },
442
+ "layer_21": {
443
+ "intermediate_size": 11008,
444
+ "dead_count": 0,
445
+ "dead_fraction": 0.0,
446
+ "mean_activation_freq": 0.979023588431007,
447
+ "min_activation_freq": 0.9202946874427794
448
+ },
449
+ "layer_22": {
450
+ "intermediate_size": 11008,
451
+ "dead_count": 0,
452
+ "dead_fraction": 0.0,
453
+ "mean_activation_freq": 0.9786008643525546,
454
+ "min_activation_freq": 0.9279783528156486
455
+ },
456
+ "layer_23": {
457
+ "intermediate_size": 11008,
458
+ "dead_count": 0,
459
+ "dead_fraction": 0.0,
460
+ "mean_activation_freq": 0.978402323244929,
461
+ "min_activation_freq": 0.9355218630684476
462
+ },
463
+ "layer_24": {
464
+ "intermediate_size": 11008,
465
+ "dead_count": 0,
466
+ "dead_fraction": 0.0,
467
+ "mean_activation_freq": 0.9798411711224622,
468
+ "min_activation_freq": 0.9400656016384585
469
+ },
470
+ "layer_25": {
471
+ "intermediate_size": 11008,
472
+ "dead_count": 0,
473
+ "dead_fraction": 0.0,
474
+ "mean_activation_freq": 0.9816844788597214,
475
+ "min_activation_freq": 0.9473762735466253
476
+ },
477
+ "layer_26": {
478
+ "intermediate_size": 11008,
479
+ "dead_count": 0,
480
+ "dead_fraction": 0.0,
481
+ "mean_activation_freq": 0.9838722997583007,
482
+ "min_activation_freq": 0.9476769288848399
483
+ },
484
+ "layer_27": {
485
+ "intermediate_size": 11008,
486
+ "dead_count": 0,
487
+ "dead_fraction": 0.0,
488
+ "mean_activation_freq": 0.9850240694552341,
489
+ "min_activation_freq": 0.9281094656699076
490
+ },
491
+ "layer_28": {
492
+ "intermediate_size": 11008,
493
+ "dead_count": 0,
494
+ "dead_fraction": 0.0,
495
+ "mean_activation_freq": 0.9855012767173326,
496
+ "min_activation_freq": 0.35748597883657685
497
+ },
498
+ "layer_29": {
499
+ "intermediate_size": 11008,
500
+ "dead_count": 0,
501
+ "dead_fraction": 0.0,
502
+ "mean_activation_freq": 0.9870532369083893,
503
+ "min_activation_freq": 0.9480770491469752
504
+ },
505
+ "layer_30": {
506
+ "intermediate_size": 11008,
507
+ "dead_count": 0,
508
+ "dead_fraction": 0.0,
509
+ "mean_activation_freq": 0.9892491190838675,
510
+ "min_activation_freq": 0.737900883203313
511
+ },
512
+ "layer_31": {
513
+ "intermediate_size": 11008,
514
+ "dead_count": 0,
515
+ "dead_fraction": 0.0,
516
+ "mean_activation_freq": 0.9909771434766677,
517
+ "min_activation_freq": 0.962144554182387
518
+ },
519
+ "layer_32": {
520
+ "intermediate_size": 11008,
521
+ "dead_count": 0,
522
+ "dead_fraction": 0.0,
523
+ "mean_activation_freq": 0.9900243108150597,
524
+ "min_activation_freq": 0.7097206618034347
525
+ },
526
+ "layer_33": {
527
+ "intermediate_size": 11008,
528
+ "dead_count": 0,
529
+ "dead_fraction": 0.0,
530
+ "mean_activation_freq": 0.9888253626773302,
531
+ "min_activation_freq": 0.7557932666767638
532
+ },
533
+ "layer_34": {
534
+ "intermediate_size": 11008,
535
+ "dead_count": 0,
536
+ "dead_fraction": 0.0,
537
+ "mean_activation_freq": 0.9895867796977712,
538
+ "min_activation_freq": 0.9641225498285361
539
+ },
540
+ "layer_35": {
541
+ "intermediate_size": 11008,
542
+ "dead_count": 0,
543
+ "dead_fraction": 0.0,
544
+ "mean_activation_freq": 0.9920752879702089,
545
+ "min_activation_freq": 0.43161221338843087
546
+ },
547
+ "_overall": {
548
+ "dead_count": 1742,
549
+ "intermediate_total": 396288,
550
+ "dead_fraction": 0.0043957929586563305
551
+ }
552
+ },
553
+ "size": 889,
554
+ "size_pre_filter": 889,
555
+ "skipped_long": 0
556
+ }
557
+ },
558
+ "old_data": {
559
+ "num_records": 1024,
560
+ "source_steps": [
561
+ 25
562
+ ],
563
+ "num_source_steps": 1,
564
+ "num_positives_pre_cap": 40,
565
+ "num_negatives_pre_cap": 984,
566
+ "positive": {
567
+ "loss": 0.7680229548303725,
568
+ "token_entropy": 0.6716074716446488,
569
+ "num_supervised_tokens": 14803,
570
+ "kl_from_init": 0.021009681144775687,
571
+ "kl_to_init": 0.01674362669794461,
572
+ "dead_units": {
573
+ "layer_0": {
574
+ "intermediate_size": 11008,
575
+ "dead_count": 0,
576
+ "dead_fraction": 0.0,
577
+ "mean_activation_freq": 0.9259553018695929,
578
+ "min_activation_freq": 0.816793893129771
579
+ },
580
+ "layer_1": {
581
+ "intermediate_size": 11008,
582
+ "dead_count": 8851,
583
+ "dead_fraction": 0.8040515988372093,
584
+ "mean_activation_freq": 0.14800681336789057,
585
+ "min_activation_freq": 0.0
586
+ },
587
+ "layer_2": {
588
+ "intermediate_size": 11008,
589
+ "dead_count": 2616,
590
+ "dead_fraction": 0.2376453488372093,
591
+ "mean_activation_freq": 0.16690059732156742,
592
+ "min_activation_freq": 0.0
593
+ },
594
+ "layer_3": {
595
+ "intermediate_size": 11008,
596
+ "dead_count": 576,
597
+ "dead_fraction": 0.05232558139534884,
598
+ "mean_activation_freq": 0.3849046510940585,
599
+ "min_activation_freq": 0.0
600
+ },
601
+ "layer_4": {
602
+ "intermediate_size": 11008,
603
+ "dead_count": 22,
604
+ "dead_fraction": 0.001998546511627907,
605
+ "mean_activation_freq": 0.5376028073249609,
606
+ "min_activation_freq": 0.0
607
+ },
608
+ "layer_5": {
609
+ "intermediate_size": 11008,
610
+ "dead_count": 10,
611
+ "dead_fraction": 0.0009084302325581395,
612
+ "mean_activation_freq": 0.7053920498417984,
613
+ "min_activation_freq": 0.0
614
+ },
615
+ "layer_6": {
616
+ "intermediate_size": 11008,
617
+ "dead_count": 0,
618
+ "dead_fraction": 0.0,
619
+ "mean_activation_freq": 0.8561966356305056,
620
+ "min_activation_freq": 0.08950888333445924
621
+ },
622
+ "layer_7": {
623
+ "intermediate_size": 11008,
624
+ "dead_count": 0,
625
+ "dead_fraction": 0.0,
626
+ "mean_activation_freq": 0.8740046788422052,
627
+ "min_activation_freq": 0.04944943592515031
628
+ },
629
+ "layer_8": {
630
+ "intermediate_size": 11008,
631
+ "dead_count": 0,
632
+ "dead_fraction": 0.0,
633
+ "mean_activation_freq": 0.9401434810413195,
634
+ "min_activation_freq": 0.0892386678376005
635
+ },
636
+ "layer_9": {
637
+ "intermediate_size": 11008,
638
+ "dead_count": 0,
639
+ "dead_fraction": 0.0,
640
+ "mean_activation_freq": 0.9504841393714977,
641
+ "min_activation_freq": 0.25690738363845167
642
+ },
643
+ "layer_10": {
644
+ "intermediate_size": 11008,
645
+ "dead_count": 0,
646
+ "dead_fraction": 0.0,
647
+ "mean_activation_freq": 0.9749068041283272,
648
+ "min_activation_freq": 0.7070864014051207
649
+ },
650
+ "layer_11": {
651
+ "intermediate_size": 11008,
652
+ "dead_count": 0,
653
+ "dead_fraction": 0.0,
654
+ "mean_activation_freq": 0.985159657150342,
655
+ "min_activation_freq": 0.9302168479362293
656
+ },
657
+ "layer_12": {
658
+ "intermediate_size": 11008,
659
+ "dead_count": 0,
660
+ "dead_fraction": 0.0,
661
+ "mean_activation_freq": 0.986687462148229,
662
+ "min_activation_freq": 0.9299466324393705
663
+ },
664
+ "layer_13": {
665
+ "intermediate_size": 11008,
666
+ "dead_count": 0,
667
+ "dead_fraction": 0.0,
668
+ "mean_activation_freq": 0.9807724908252413,
669
+ "min_activation_freq": 0.9063027764642303
670
+ },
671
+ "layer_14": {
672
+ "intermediate_size": 11008,
673
+ "dead_count": 0,
674
+ "dead_fraction": 0.0,
675
+ "mean_activation_freq": 0.982747490442305,
676
+ "min_activation_freq": 0.9047490373572925
677
+ },
678
+ "layer_15": {
679
+ "intermediate_size": 11008,
680
+ "dead_count": 0,
681
+ "dead_fraction": 0.0,
682
+ "mean_activation_freq": 0.97961507841748,
683
+ "min_activation_freq": 0.9121124096466934
684
+ },
685
+ "layer_16": {
686
+ "intermediate_size": 11008,
687
+ "dead_count": 0,
688
+ "dead_fraction": 0.0,
689
+ "mean_activation_freq": 0.9790049211229969,
690
+ "min_activation_freq": 0.9125177328919815
691
+ },
692
+ "layer_17": {
693
+ "intermediate_size": 11008,
694
+ "dead_count": 0,
695
+ "dead_fraction": 0.0,
696
+ "mean_activation_freq": 0.9781920285642917,
697
+ "min_activation_freq": 0.9221779369046815
698
+ },
699
+ "layer_18": {
700
+ "intermediate_size": 11008,
701
+ "dead_count": 0,
702
+ "dead_fraction": 0.0,
703
+ "mean_activation_freq": 0.9788092615870606,
704
+ "min_activation_freq": 0.9226508140241844
705
+ },
706
+ "layer_19": {
707
+ "intermediate_size": 11008,
708
+ "dead_count": 0,
709
+ "dead_fraction": 0.0,
710
+ "mean_activation_freq": 0.9756518727936985,
711
+ "min_activation_freq": 0.9184624738228738
712
+ },
713
+ "layer_20": {
714
+ "intermediate_size": 11008,
715
+ "dead_count": 0,
716
+ "dead_fraction": 0.0,
717
+ "mean_activation_freq": 0.9786767926618428,
718
+ "min_activation_freq": 0.919948659055597
719
+ },
720
+ "layer_21": {
721
+ "intermediate_size": 11008,
722
+ "dead_count": 0,
723
+ "dead_fraction": 0.0,
724
+ "mean_activation_freq": 0.9789979006258945,
725
+ "min_activation_freq": 0.9230561372694724
726
+ },
727
+ "layer_22": {
728
+ "intermediate_size": 11008,
729
+ "dead_count": 0,
730
+ "dead_fraction": 0.0,
731
+ "mean_activation_freq": 0.9786589775367659,
732
+ "min_activation_freq": 0.9295413091940824
733
+ },
734
+ "layer_23": {
735
+ "intermediate_size": 11008,
736
+ "dead_count": 0,
737
+ "dead_fraction": 0.0,
738
+ "mean_activation_freq": 0.9784436618363028,
739
+ "min_activation_freq": 0.9350131730054719
740
+ },
741
+ "layer_24": {
742
+ "intermediate_size": 11008,
743
+ "dead_count": 0,
744
+ "dead_fraction": 0.0,
745
+ "mean_activation_freq": 0.979834640782274,
746
+ "min_activation_freq": 0.9383233128419916
747
+ },
748
+ "layer_25": {
749
+ "intermediate_size": 11008,
750
+ "dead_count": 0,
751
+ "dead_fraction": 0.0,
752
+ "mean_activation_freq": 0.9816557295013268,
753
+ "min_activation_freq": 0.9445382692697427
754
+ },
755
+ "layer_26": {
756
+ "intermediate_size": 11008,
757
+ "dead_count": 0,
758
+ "dead_fraction": 0.0,
759
+ "mean_activation_freq": 0.9837978709532482,
760
+ "min_activation_freq": 0.9473079781125449
761
+ },
762
+ "layer_27": {
763
+ "intermediate_size": 11008,
764
+ "dead_count": 0,
765
+ "dead_fraction": 0.0,
766
+ "mean_activation_freq": 0.985030354812978,
767
+ "min_activation_freq": 0.9360264811186922
768
+ },
769
+ "layer_28": {
770
+ "intermediate_size": 11008,
771
+ "dead_count": 0,
772
+ "dead_fraction": 0.0,
773
+ "mean_activation_freq": 0.9855309518497981,
774
+ "min_activation_freq": 0.39539282577855844
775
+ },
776
+ "layer_29": {
777
+ "intermediate_size": 11008,
778
+ "dead_count": 0,
779
+ "dead_fraction": 0.0,
780
+ "mean_activation_freq": 0.9871207016883757,
781
+ "min_activation_freq": 0.9482537323515504
782
+ },
783
+ "layer_30": {
784
+ "intermediate_size": 11008,
785
+ "dead_count": 0,
786
+ "dead_fraction": 0.0,
787
+ "mean_activation_freq": 0.9893432781538627,
788
+ "min_activation_freq": 0.742957508613119
789
+ },
790
+ "layer_31": {
791
+ "intermediate_size": 11008,
792
+ "dead_count": 0,
793
+ "dead_fraction": 0.0,
794
+ "mean_activation_freq": 0.9910860306443228,
795
+ "min_activation_freq": 0.9579814902384652
796
+ },
797
+ "layer_32": {
798
+ "intermediate_size": 11008,
799
+ "dead_count": 0,
800
+ "dead_fraction": 0.0,
801
+ "mean_activation_freq": 0.9901638723942665,
802
+ "min_activation_freq": 0.7223535769776397
803
+ },
804
+ "layer_33": {
805
+ "intermediate_size": 11008,
806
+ "dead_count": 0,
807
+ "dead_fraction": 0.0,
808
+ "mean_activation_freq": 0.9889386667771619,
809
+ "min_activation_freq": 0.7768695534688915
810
+ },
811
+ "layer_34": {
812
+ "intermediate_size": 11008,
813
+ "dead_count": 0,
814
+ "dead_fraction": 0.0,
815
+ "mean_activation_freq": 0.9898182663319347,
816
+ "min_activation_freq": 0.9637235695467136
817
+ },
818
+ "layer_35": {
819
+ "intermediate_size": 11008,
820
+ "dead_count": 0,
821
+ "dead_fraction": 0.0,
822
+ "mean_activation_freq": 0.9919242190850692,
823
+ "min_activation_freq": 0.45423225021955016
824
+ },
825
+ "_overall": {
826
+ "dead_count": 12075,
827
+ "intermediate_total": 396288,
828
+ "dead_fraction": 0.030470264050387597
829
+ }
830
+ },
831
+ "size": 40,
832
+ "size_pre_filter": 40,
833
+ "skipped_long": 0
834
+ },
835
+ "negative": {
836
+ "loss": 0.802351251778363,
837
+ "token_entropy": 0.7118906857200493,
838
+ "num_supervised_tokens": 462596,
839
+ "kl_from_init": 0.01802768342398009,
840
+ "kl_to_init": 0.014701192281629824,
841
+ "dead_units": {
842
+ "layer_0": {
843
+ "intermediate_size": 11008,
844
+ "dead_count": 0,
845
+ "dead_fraction": 0.0,
846
+ "mean_activation_freq": 0.9251125274364798,
847
+ "min_activation_freq": 0.8140213058478672
848
+ },
849
+ "layer_1": {
850
+ "intermediate_size": 11008,
851
+ "dead_count": 5127,
852
+ "dead_fraction": 0.46575218023255816,
853
+ "mean_activation_freq": 0.14762833891725705,
854
+ "min_activation_freq": 0.0
855
+ },
856
+ "layer_2": {
857
+ "intermediate_size": 11008,
858
+ "dead_count": 818,
859
+ "dead_fraction": 0.07430959302325581,
860
+ "mean_activation_freq": 0.166699514709153,
861
+ "min_activation_freq": 0.0
862
+ },
863
+ "layer_3": {
864
+ "intermediate_size": 11008,
865
+ "dead_count": 0,
866
+ "dead_fraction": 0.0,
867
+ "mean_activation_freq": 0.38605901500369905,
868
+ "min_activation_freq": 1.080856730278688e-05
869
+ },
870
+ "layer_4": {
871
+ "intermediate_size": 11008,
872
+ "dead_count": 0,
873
+ "dead_fraction": 0.0,
874
+ "mean_activation_freq": 0.539010306441798,
875
+ "min_activation_freq": 5.8366263435049155e-05
876
+ },
877
+ "layer_5": {
878
+ "intermediate_size": 11008,
879
+ "dead_count": 0,
880
+ "dead_fraction": 0.0,
881
+ "mean_activation_freq": 0.7117906494380449,
882
+ "min_activation_freq": 0.00012105595379121307
883
+ },
884
+ "layer_6": {
885
+ "intermediate_size": 11008,
886
+ "dead_count": 0,
887
+ "dead_fraction": 0.0,
888
+ "mean_activation_freq": 0.8616606624342159,
889
+ "min_activation_freq": 0.083509152694792
890
+ },
891
+ "layer_7": {
892
+ "intermediate_size": 11008,
893
+ "dead_count": 0,
894
+ "dead_fraction": 0.0,
895
+ "mean_activation_freq": 0.8792637810678442,
896
+ "min_activation_freq": 0.058895883232885714
897
+ },
898
+ "layer_8": {
899
+ "intermediate_size": 11008,
900
+ "dead_count": 0,
901
+ "dead_fraction": 0.0,
902
+ "mean_activation_freq": 0.9408706385561427,
903
+ "min_activation_freq": 0.09892433138202665
904
+ },
905
+ "layer_9": {
906
+ "intermediate_size": 11008,
907
+ "dead_count": 0,
908
+ "dead_fraction": 0.0,
909
+ "mean_activation_freq": 0.9511055423275938,
910
+ "min_activation_freq": 0.27960898926925437
911
+ },
912
+ "layer_10": {
913
+ "intermediate_size": 11008,
914
+ "dead_count": 0,
915
+ "dead_fraction": 0.0,
916
+ "mean_activation_freq": 0.9747846546531409,
917
+ "min_activation_freq": 0.7108124583870159
918
+ },
919
+ "layer_11": {
920
+ "intermediate_size": 11008,
921
+ "dead_count": 0,
922
+ "dead_fraction": 0.0,
923
+ "mean_activation_freq": 0.9851578128434234,
924
+ "min_activation_freq": 0.9322281212980656
925
+ },
926
+ "layer_12": {
927
+ "intermediate_size": 11008,
928
+ "dead_count": 0,
929
+ "dead_fraction": 0.0,
930
+ "mean_activation_freq": 0.9867269609370962,
931
+ "min_activation_freq": 0.9299712924452438
932
+ },
933
+ "layer_13": {
934
+ "intermediate_size": 11008,
935
+ "dead_count": 0,
936
+ "dead_fraction": 0.0,
937
+ "mean_activation_freq": 0.9806628741467264,
938
+ "min_activation_freq": 0.9089961867374555
939
+ },
940
+ "layer_14": {
941
+ "intermediate_size": 11008,
942
+ "dead_count": 0,
943
+ "dead_fraction": 0.0,
944
+ "mean_activation_freq": 0.9827647811179658,
945
+ "min_activation_freq": 0.9055417686274849
946
+ },
947
+ "layer_15": {
948
+ "intermediate_size": 11008,
949
+ "dead_count": 0,
950
+ "dead_fraction": 0.0,
951
+ "mean_activation_freq": 0.979574381116518,
952
+ "min_activation_freq": 0.9176516874335273
953
+ },
954
+ "layer_16": {
955
+ "intermediate_size": 11008,
956
+ "dead_count": 0,
957
+ "dead_fraction": 0.0,
958
+ "mean_activation_freq": 0.9789947769970738,
959
+ "min_activation_freq": 0.9109071414365882
960
+ },
961
+ "layer_17": {
962
+ "intermediate_size": 11008,
963
+ "dead_count": 0,
964
+ "dead_fraction": 0.0,
965
+ "mean_activation_freq": 0.9781478061555594,
966
+ "min_activation_freq": 0.9252955062300582
967
+ },
968
+ "layer_18": {
969
+ "intermediate_size": 11008,
970
+ "dead_count": 0,
971
+ "dead_fraction": 0.0,
972
+ "mean_activation_freq": 0.9787554895739303,
973
+ "min_activation_freq": 0.9240568444171589
974
+ },
975
+ "layer_19": {
976
+ "intermediate_size": 11008,
977
+ "dead_count": 0,
978
+ "dead_fraction": 0.0,
979
+ "mean_activation_freq": 0.9755059118809934,
980
+ "min_activation_freq": 0.9266011811602348
981
+ },
982
+ "layer_20": {
983
+ "intermediate_size": 11008,
984
+ "dead_count": 0,
985
+ "dead_fraction": 0.0,
986
+ "mean_activation_freq": 0.9786400890694441,
987
+ "min_activation_freq": 0.9276279950539996
988
+ },
989
+ "layer_21": {
990
+ "intermediate_size": 11008,
991
+ "dead_count": 0,
992
+ "dead_fraction": 0.0,
993
+ "mean_activation_freq": 0.978884980098474,
994
+ "min_activation_freq": 0.9235401949000855
995
+ },
996
+ "layer_22": {
997
+ "intermediate_size": 11008,
998
+ "dead_count": 0,
999
+ "dead_fraction": 0.0,
1000
+ "mean_activation_freq": 0.9784036536234615,
1001
+ "min_activation_freq": 0.929076343072573
1002
+ },
1003
+ "layer_23": {
1004
+ "intermediate_size": 11008,
1005
+ "dead_count": 0,
1006
+ "dead_fraction": 0.0,
1007
+ "mean_activation_freq": 0.9781427883410296,
1008
+ "min_activation_freq": 0.9356457902792069
1009
+ },
1010
+ "layer_24": {
1011
+ "intermediate_size": 11008,
1012
+ "dead_count": 0,
1013
+ "dead_fraction": 0.0,
1014
+ "mean_activation_freq": 0.9796275759989328,
1015
+ "min_activation_freq": 0.9406155695250283
1016
+ },
1017
+ "layer_25": {
1018
+ "intermediate_size": 11008,
1019
+ "dead_count": 0,
1020
+ "dead_fraction": 0.0,
1021
+ "mean_activation_freq": 0.9814454860969022,
1022
+ "min_activation_freq": 0.9471482676028327
1023
+ },
1024
+ "layer_26": {
1025
+ "intermediate_size": 11008,
1026
+ "dead_count": 0,
1027
+ "dead_fraction": 0.0,
1028
+ "mean_activation_freq": 0.9837063618784119,
1029
+ "min_activation_freq": 0.9470228882221203
1030
+ },
1031
+ "layer_27": {
1032
+ "intermediate_size": 11008,
1033
+ "dead_count": 0,
1034
+ "dead_fraction": 0.0,
1035
+ "mean_activation_freq": 0.9848418054083482,
1036
+ "min_activation_freq": 0.9306738493199249
1037
+ },
1038
+ "layer_28": {
1039
+ "intermediate_size": 11008,
1040
+ "dead_count": 0,
1041
+ "dead_fraction": 0.0,
1042
+ "mean_activation_freq": 0.9853522559057257,
1043
+ "min_activation_freq": 0.3815100000864685
1044
+ },
1045
+ "layer_29": {
1046
+ "intermediate_size": 11008,
1047
+ "dead_count": 0,
1048
+ "dead_fraction": 0.0,
1049
+ "mean_activation_freq": 0.9869361997969072,
1050
+ "min_activation_freq": 0.9495866803863414
1051
+ },
1052
+ "layer_30": {
1053
+ "intermediate_size": 11008,
1054
+ "dead_count": 0,
1055
+ "dead_fraction": 0.0,
1056
+ "mean_activation_freq": 0.9891803026614387,
1057
+ "min_activation_freq": 0.7479744744874577
1058
+ },
1059
+ "layer_31": {
1060
+ "intermediate_size": 11008,
1061
+ "dead_count": 0,
1062
+ "dead_fraction": 0.0,
1063
+ "mean_activation_freq": 0.9909814416098194,
1064
+ "min_activation_freq": 0.9612729033541146
1065
+ },
1066
+ "layer_32": {
1067
+ "intermediate_size": 11008,
1068
+ "dead_count": 0,
1069
+ "dead_fraction": 0.0,
1070
+ "mean_activation_freq": 0.9900767016860688,
1071
+ "min_activation_freq": 0.7441158159603628
1072
+ },
1073
+ "layer_33": {
1074
+ "intermediate_size": 11008,
1075
+ "dead_count": 0,
1076
+ "dead_fraction": 0.0,
1077
+ "mean_activation_freq": 0.9888989370380468,
1078
+ "min_activation_freq": 0.7883768990652751
1079
+ },
1080
+ "layer_34": {
1081
+ "intermediate_size": 11008,
1082
+ "dead_count": 0,
1083
+ "dead_fraction": 0.0,
1084
+ "mean_activation_freq": 0.9897332050637082,
1085
+ "min_activation_freq": 0.9654839211752804
1086
+ },
1087
+ "layer_35": {
1088
+ "intermediate_size": 11008,
1089
+ "dead_count": 0,
1090
+ "dead_fraction": 0.0,
1091
+ "mean_activation_freq": 0.9920824025894838,
1092
+ "min_activation_freq": 0.4694852527907721
1093
+ },
1094
+ "_overall": {
1095
+ "dead_count": 5945,
1096
+ "intermediate_total": 396288,
1097
+ "dead_fraction": 0.01500171592377261
1098
+ }
1099
+ },
1100
+ "size": 984,
1101
+ "size_pre_filter": 984,
1102
+ "skipped_long": 0
1103
+ }
1104
+ },
1105
+ "new_data": {
1106
+ "num_records": 10240,
1107
+ "source_steps": [
1108
+ 75,
1109
+ 100,
1110
+ 125,
1111
+ 150,
1112
+ 175,
1113
+ 200,
1114
+ 225,
1115
+ 250,
1116
+ 275,
1117
+ 300
1118
+ ],
1119
+ "num_source_steps": 10,
1120
+ "num_positives_pre_cap": 3171,
1121
+ "num_negatives_pre_cap": 7069,
1122
+ "positive": {
1123
+ "loss": 0.2970181369709625,
1124
+ "token_entropy": 0.353172216695428,
1125
+ "num_supervised_tokens": 1146496,
1126
+ "kl_from_init": 0.017956145655913212,
1127
+ "kl_to_init": 0.013673617874383526,
1128
+ "dead_units": {
1129
+ "layer_0": {
1130
+ "intermediate_size": 11008,
1131
+ "dead_count": 0,
1132
+ "dead_fraction": 0.0,
1133
+ "mean_activation_freq": 0.9242344428165938,
1134
+ "min_activation_freq": 0.7820315116668528
1135
+ },
1136
+ "layer_1": {
1137
+ "intermediate_size": 11008,
1138
+ "dead_count": 8772,
1139
+ "dead_fraction": 0.796875,
1140
+ "mean_activation_freq": 0.14774312163608497,
1141
+ "min_activation_freq": 0.0
1142
+ },
1143
+ "layer_2": {
1144
+ "intermediate_size": 11008,
1145
+ "dead_count": 2969,
1146
+ "dead_fraction": 0.26971293604651164,
1147
+ "mean_activation_freq": 0.16666714368994542,
1148
+ "min_activation_freq": 0.0
1149
+ },
1150
+ "layer_3": {
1151
+ "intermediate_size": 11008,
1152
+ "dead_count": 76,
1153
+ "dead_fraction": 0.006904069767441861,
1154
+ "mean_activation_freq": 0.3873908625146473,
1155
+ "min_activation_freq": 0.0
1156
+ },
1157
+ "layer_4": {
1158
+ "intermediate_size": 11008,
1159
+ "dead_count": 2,
1160
+ "dead_fraction": 0.0001816860465116279,
1161
+ "mean_activation_freq": 0.5451633900821123,
1162
+ "min_activation_freq": 0.0
1163
+ },
1164
+ "layer_5": {
1165
+ "intermediate_size": 11008,
1166
+ "dead_count": 0,
1167
+ "dead_fraction": 0.0,
1168
+ "mean_activation_freq": 0.7132779177727839,
1169
+ "min_activation_freq": 5.233337054817462e-06
1170
+ },
1171
+ "layer_6": {
1172
+ "intermediate_size": 11008,
1173
+ "dead_count": 0,
1174
+ "dead_fraction": 0.0,
1175
+ "mean_activation_freq": 0.8635767981303671,
1176
+ "min_activation_freq": 0.08557029418332031
1177
+ },
1178
+ "layer_7": {
1179
+ "intermediate_size": 11008,
1180
+ "dead_count": 0,
1181
+ "dead_fraction": 0.0,
1182
+ "mean_activation_freq": 0.8794297443947916,
1183
+ "min_activation_freq": 0.04411790359495367
1184
+ },
1185
+ "layer_8": {
1186
+ "intermediate_size": 11008,
1187
+ "dead_count": 0,
1188
+ "dead_fraction": 0.0,
1189
+ "mean_activation_freq": 0.9408243486066129,
1190
+ "min_activation_freq": 0.09054806994529419
1191
+ },
1192
+ "layer_9": {
1193
+ "intermediate_size": 11008,
1194
+ "dead_count": 0,
1195
+ "dead_fraction": 0.0,
1196
+ "mean_activation_freq": 0.9482515764939787,
1197
+ "min_activation_freq": 0.24475532404823044
1198
+ },
1199
+ "layer_10": {
1200
+ "intermediate_size": 11008,
1201
+ "dead_count": 0,
1202
+ "dead_fraction": 0.0,
1203
+ "mean_activation_freq": 0.973330859696252,
1204
+ "min_activation_freq": 0.6734013899743218
1205
+ },
1206
+ "layer_11": {
1207
+ "intermediate_size": 11008,
1208
+ "dead_count": 0,
1209
+ "dead_fraction": 0.0,
1210
+ "mean_activation_freq": 0.9850506311192772,
1211
+ "min_activation_freq": 0.9342701588143352
1212
+ },
1213
+ "layer_12": {
1214
+ "intermediate_size": 11008,
1215
+ "dead_count": 0,
1216
+ "dead_fraction": 0.0,
1217
+ "mean_activation_freq": 0.9866300959486456,
1218
+ "min_activation_freq": 0.9265169699676231
1219
+ },
1220
+ "layer_13": {
1221
+ "intermediate_size": 11008,
1222
+ "dead_count": 0,
1223
+ "dead_fraction": 0.0,
1224
+ "mean_activation_freq": 0.98085130378514,
1225
+ "min_activation_freq": 0.900720107178743
1226
+ },
1227
+ "layer_14": {
1228
+ "intermediate_size": 11008,
1229
+ "dead_count": 0,
1230
+ "dead_fraction": 0.0,
1231
+ "mean_activation_freq": 0.9828983968509927,
1232
+ "min_activation_freq": 0.9025020584459083
1233
+ },
1234
+ "layer_15": {
1235
+ "intermediate_size": 11008,
1236
+ "dead_count": 0,
1237
+ "dead_fraction": 0.0,
1238
+ "mean_activation_freq": 0.9797124598198125,
1239
+ "min_activation_freq": 0.9086817572848053
1240
+ },
1241
+ "layer_16": {
1242
+ "intermediate_size": 11008,
1243
+ "dead_count": 0,
1244
+ "dead_fraction": 0.0,
1245
+ "mean_activation_freq": 0.9788805083490438,
1246
+ "min_activation_freq": 0.9040511262141342
1247
+ },
1248
+ "layer_17": {
1249
+ "intermediate_size": 11008,
1250
+ "dead_count": 0,
1251
+ "dead_fraction": 0.0,
1252
+ "mean_activation_freq": 0.9783815115466686,
1253
+ "min_activation_freq": 0.9225152115663727
1254
+ },
1255
+ "layer_18": {
1256
+ "intermediate_size": 11008,
1257
+ "dead_count": 0,
1258
+ "dead_fraction": 0.0,
1259
+ "mean_activation_freq": 0.9789451564000021,
1260
+ "min_activation_freq": 0.9231641453611701
1261
+ },
1262
+ "layer_19": {
1263
+ "intermediate_size": 11008,
1264
+ "dead_count": 0,
1265
+ "dead_fraction": 0.0,
1266
+ "mean_activation_freq": 0.9760162479420612,
1267
+ "min_activation_freq": 0.9177214748241599
1268
+ },
1269
+ "layer_20": {
1270
+ "intermediate_size": 11008,
1271
+ "dead_count": 0,
1272
+ "dead_fraction": 0.0,
1273
+ "mean_activation_freq": 0.9789623535632932,
1274
+ "min_activation_freq": 0.9167149296639501
1275
+ },
1276
+ "layer_21": {
1277
+ "intermediate_size": 11008,
1278
+ "dead_count": 0,
1279
+ "dead_fraction": 0.0,
1280
+ "mean_activation_freq": 0.9795165829580376,
1281
+ "min_activation_freq": 0.9191859369766663
1282
+ },
1283
+ "layer_22": {
1284
+ "intermediate_size": 11008,
1285
+ "dead_count": 0,
1286
+ "dead_fraction": 0.0,
1287
+ "mean_activation_freq": 0.9793050807248073,
1288
+ "min_activation_freq": 0.9320459905660378
1289
+ },
1290
+ "layer_23": {
1291
+ "intermediate_size": 11008,
1292
+ "dead_count": 0,
1293
+ "dead_fraction": 0.0,
1294
+ "mean_activation_freq": 0.9792664528529424,
1295
+ "min_activation_freq": 0.9376526389974322
1296
+ },
1297
+ "layer_24": {
1298
+ "intermediate_size": 11008,
1299
+ "dead_count": 0,
1300
+ "dead_fraction": 0.0,
1301
+ "mean_activation_freq": 0.9804211186934181,
1302
+ "min_activation_freq": 0.9395680403594954
1303
+ },
1304
+ "layer_25": {
1305
+ "intermediate_size": 11008,
1306
+ "dead_count": 0,
1307
+ "dead_fraction": 0.0,
1308
+ "mean_activation_freq": 0.9821689346543933,
1309
+ "min_activation_freq": 0.9461419839231886
1310
+ },
1311
+ "layer_26": {
1312
+ "intermediate_size": 11008,
1313
+ "dead_count": 0,
1314
+ "dead_fraction": 0.0,
1315
+ "mean_activation_freq": 0.984158380667988,
1316
+ "min_activation_freq": 0.9454511834319527
1317
+ },
1318
+ "layer_27": {
1319
+ "intermediate_size": 11008,
1320
+ "dead_count": 0,
1321
+ "dead_fraction": 0.0,
1322
+ "mean_activation_freq": 0.9852966155511035,
1323
+ "min_activation_freq": 0.9298209500948978
1324
+ },
1325
+ "layer_28": {
1326
+ "intermediate_size": 11008,
1327
+ "dead_count": 0,
1328
+ "dead_fraction": 0.0,
1329
+ "mean_activation_freq": 0.9857312357628637,
1330
+ "min_activation_freq": 0.33819045160209893
1331
+ },
1332
+ "layer_29": {
1333
+ "intermediate_size": 11008,
1334
+ "dead_count": 0,
1335
+ "dead_fraction": 0.0,
1336
+ "mean_activation_freq": 0.9871819966953962,
1337
+ "min_activation_freq": 0.947320356983365
1338
+ },
1339
+ "layer_30": {
1340
+ "intermediate_size": 11008,
1341
+ "dead_count": 0,
1342
+ "dead_fraction": 0.0,
1343
+ "mean_activation_freq": 0.9893017535781623,
1344
+ "min_activation_freq": 0.698080063079156
1345
+ },
1346
+ "layer_31": {
1347
+ "intermediate_size": 11008,
1348
+ "dead_count": 0,
1349
+ "dead_fraction": 0.0,
1350
+ "mean_activation_freq": 0.9909279556223108,
1351
+ "min_activation_freq": 0.9583670592832422
1352
+ },
1353
+ "layer_32": {
1354
+ "intermediate_size": 11008,
1355
+ "dead_count": 0,
1356
+ "dead_fraction": 0.0,
1357
+ "mean_activation_freq": 0.9899179622977061,
1358
+ "min_activation_freq": 0.7316641314056046
1359
+ },
1360
+ "layer_33": {
1361
+ "intermediate_size": 11008,
1362
+ "dead_count": 0,
1363
+ "dead_fraction": 0.0,
1364
+ "mean_activation_freq": 0.9887885924251342,
1365
+ "min_activation_freq": 0.7748191009824719
1366
+ },
1367
+ "layer_34": {
1368
+ "intermediate_size": 11008,
1369
+ "dead_count": 0,
1370
+ "dead_fraction": 0.0,
1371
+ "mean_activation_freq": 0.9893625461949754,
1372
+ "min_activation_freq": 0.9620051007591828
1373
+ },
1374
+ "layer_35": {
1375
+ "intermediate_size": 11008,
1376
+ "dead_count": 0,
1377
+ "dead_fraction": 0.0,
1378
+ "mean_activation_freq": 0.9921648480368233,
1379
+ "min_activation_freq": 0.4236002567824048
1380
+ },
1381
+ "_overall": {
1382
+ "dead_count": 11819,
1383
+ "intermediate_total": 396288,
1384
+ "dead_fraction": 0.029824269218346255
1385
+ }
1386
+ },
1387
+ "size": 3171,
1388
+ "size_pre_filter": 3171,
1389
+ "skipped_long": 0
1390
+ },
1391
+ "negative": {
1392
+ "loss": 0.29790830328866064,
1393
+ "token_entropy": 0.35266292757776657,
1394
+ "num_supervised_tokens": 3112809,
1395
+ "kl_from_init": 0.015820241806675354,
1396
+ "kl_to_init": 0.01221924521344469,
1397
+ "dead_units": {
1398
+ "layer_0": {
1399
+ "intermediate_size": 11008,
1400
+ "dead_count": 0,
1401
+ "dead_fraction": 0.0,
1402
+ "mean_activation_freq": 0.9243074016196765,
1403
+ "min_activation_freq": 0.7809592557718769
1404
+ },
1405
+ "layer_1": {
1406
+ "intermediate_size": 11008,
1407
+ "dead_count": 8731,
1408
+ "dead_fraction": 0.7931504360465116,
1409
+ "mean_activation_freq": 0.1474061036665776,
1410
+ "min_activation_freq": 0.0
1411
+ },
1412
+ "layer_2": {
1413
+ "intermediate_size": 11008,
1414
+ "dead_count": 2324,
1415
+ "dead_fraction": 0.21111918604651161,
1416
+ "mean_activation_freq": 0.16657112268814117,
1417
+ "min_activation_freq": 0.0
1418
+ },
1419
+ "layer_3": {
1420
+ "intermediate_size": 11008,
1421
+ "dead_count": 5,
1422
+ "dead_fraction": 0.00045421511627906976,
1423
+ "mean_activation_freq": 0.38782665471458905,
1424
+ "min_activation_freq": 0.0
1425
+ },
1426
+ "layer_4": {
1427
+ "intermediate_size": 11008,
1428
+ "dead_count": 0,
1429
+ "dead_fraction": 0.0,
1430
+ "mean_activation_freq": 0.5486343027278017,
1431
+ "min_activation_freq": 1.6062662373438268e-06
1432
+ },
1433
+ "layer_5": {
1434
+ "intermediate_size": 11008,
1435
+ "dead_count": 0,
1436
+ "dead_fraction": 0.0,
1437
+ "mean_activation_freq": 0.7146532832162205,
1438
+ "min_activation_freq": 7.067571444312838e-06
1439
+ },
1440
+ "layer_6": {
1441
+ "intermediate_size": 11008,
1442
+ "dead_count": 0,
1443
+ "dead_fraction": 0.0,
1444
+ "mean_activation_freq": 0.8648257735110945,
1445
+ "min_activation_freq": 0.08645278267956692
1446
+ },
1447
+ "layer_7": {
1448
+ "intermediate_size": 11008,
1449
+ "dead_count": 0,
1450
+ "dead_fraction": 0.0,
1451
+ "mean_activation_freq": 0.8814770551239364,
1452
+ "min_activation_freq": 0.047849707450730194
1453
+ },
1454
+ "layer_8": {
1455
+ "intermediate_size": 11008,
1456
+ "dead_count": 0,
1457
+ "dead_fraction": 0.0,
1458
+ "mean_activation_freq": 0.9410064099725839,
1459
+ "min_activation_freq": 0.0890623228087557
1460
+ },
1461
+ "layer_9": {
1462
+ "intermediate_size": 11008,
1463
+ "dead_count": 0,
1464
+ "dead_fraction": 0.0,
1465
+ "mean_activation_freq": 0.9487702062817812,
1466
+ "min_activation_freq": 0.25601988429100536
1467
+ },
1468
+ "layer_10": {
1469
+ "intermediate_size": 11008,
1470
+ "dead_count": 0,
1471
+ "dead_fraction": 0.0,
1472
+ "mean_activation_freq": 0.9734207642350284,
1473
+ "min_activation_freq": 0.6771896380407536
1474
+ },
1475
+ "layer_11": {
1476
+ "intermediate_size": 11008,
1477
+ "dead_count": 0,
1478
+ "dead_fraction": 0.0,
1479
+ "mean_activation_freq": 0.9850000551010021,
1480
+ "min_activation_freq": 0.9323784401805573
1481
+ },
1482
+ "layer_12": {
1483
+ "intermediate_size": 11008,
1484
+ "dead_count": 0,
1485
+ "dead_fraction": 0.0,
1486
+ "mean_activation_freq": 0.9866072829385008,
1487
+ "min_activation_freq": 0.9258357965426084
1488
+ },
1489
+ "layer_13": {
1490
+ "intermediate_size": 11008,
1491
+ "dead_count": 0,
1492
+ "dead_fraction": 0.0,
1493
+ "mean_activation_freq": 0.9806604643833735,
1494
+ "min_activation_freq": 0.8989199144566853
1495
+ },
1496
+ "layer_14": {
1497
+ "intermediate_size": 11008,
1498
+ "dead_count": 0,
1499
+ "dead_fraction": 0.0,
1500
+ "mean_activation_freq": 0.9827774631367595,
1501
+ "min_activation_freq": 0.9000947375826786
1502
+ },
1503
+ "layer_15": {
1504
+ "intermediate_size": 11008,
1505
+ "dead_count": 0,
1506
+ "dead_fraction": 0.0,
1507
+ "mean_activation_freq": 0.9795876611387146,
1508
+ "min_activation_freq": 0.909326913408436
1509
+ },
1510
+ "layer_16": {
1511
+ "intermediate_size": 11008,
1512
+ "dead_count": 0,
1513
+ "dead_fraction": 0.0,
1514
+ "mean_activation_freq": 0.9787829343319439,
1515
+ "min_activation_freq": 0.9044393665014462
1516
+ },
1517
+ "layer_17": {
1518
+ "intermediate_size": 11008,
1519
+ "dead_count": 0,
1520
+ "dead_fraction": 0.0,
1521
+ "mean_activation_freq": 0.9783212436864492,
1522
+ "min_activation_freq": 0.9202578764068081
1523
+ },
1524
+ "layer_18": {
1525
+ "intermediate_size": 11008,
1526
+ "dead_count": 0,
1527
+ "dead_fraction": 0.0,
1528
+ "mean_activation_freq": 0.9788905021354583,
1529
+ "min_activation_freq": 0.9241505020063872
1530
+ },
1531
+ "layer_19": {
1532
+ "intermediate_size": 11008,
1533
+ "dead_count": 0,
1534
+ "dead_fraction": 0.0,
1535
+ "mean_activation_freq": 0.9759884210304456,
1536
+ "min_activation_freq": 0.9183849699740653
1537
+ },
1538
+ "layer_20": {
1539
+ "intermediate_size": 11008,
1540
+ "dead_count": 0,
1541
+ "dead_fraction": 0.0,
1542
+ "mean_activation_freq": 0.9789789221014256,
1543
+ "min_activation_freq": 0.9179422829990533
1544
+ },
1545
+ "layer_21": {
1546
+ "intermediate_size": 11008,
1547
+ "dead_count": 0,
1548
+ "dead_fraction": 0.0,
1549
+ "mean_activation_freq": 0.9794228085230645,
1550
+ "min_activation_freq": 0.917302667783343
1551
+ },
1552
+ "layer_22": {
1553
+ "intermediate_size": 11008,
1554
+ "dead_count": 0,
1555
+ "dead_fraction": 0.0,
1556
+ "mean_activation_freq": 0.9791114606618826,
1557
+ "min_activation_freq": 0.9281905828465544
1558
+ },
1559
+ "layer_23": {
1560
+ "intermediate_size": 11008,
1561
+ "dead_count": 0,
1562
+ "dead_fraction": 0.0,
1563
+ "mean_activation_freq": 0.9790276173289795,
1564
+ "min_activation_freq": 0.9382541620767609
1565
+ },
1566
+ "layer_24": {
1567
+ "intermediate_size": 11008,
1568
+ "dead_count": 0,
1569
+ "dead_fraction": 0.0,
1570
+ "mean_activation_freq": 0.98026466608252,
1571
+ "min_activation_freq": 0.9386354896815063
1572
+ },
1573
+ "layer_25": {
1574
+ "intermediate_size": 11008,
1575
+ "dead_count": 0,
1576
+ "dead_fraction": 0.0,
1577
+ "mean_activation_freq": 0.9820260135895765,
1578
+ "min_activation_freq": 0.9477809271304471
1579
+ },
1580
+ "layer_26": {
1581
+ "intermediate_size": 11008,
1582
+ "dead_count": 0,
1583
+ "dead_fraction": 0.0,
1584
+ "mean_activation_freq": 0.9840670672347729,
1585
+ "min_activation_freq": 0.9459337209575017
1586
+ },
1587
+ "layer_27": {
1588
+ "intermediate_size": 11008,
1589
+ "dead_count": 0,
1590
+ "dead_fraction": 0.0,
1591
+ "mean_activation_freq": 0.9851764871335329,
1592
+ "min_activation_freq": 0.9256234481460315
1593
+ },
1594
+ "layer_28": {
1595
+ "intermediate_size": 11008,
1596
+ "dead_count": 0,
1597
+ "dead_fraction": 0.0,
1598
+ "mean_activation_freq": 0.9855801952741787,
1599
+ "min_activation_freq": 0.3400594125755869
1600
+ },
1601
+ "layer_29": {
1602
+ "intermediate_size": 11008,
1603
+ "dead_count": 0,
1604
+ "dead_fraction": 0.0,
1605
+ "mean_activation_freq": 0.9870633703588627,
1606
+ "min_activation_freq": 0.9464368035430378
1607
+ },
1608
+ "layer_30": {
1609
+ "intermediate_size": 11008,
1610
+ "dead_count": 0,
1611
+ "dead_fraction": 0.0,
1612
+ "mean_activation_freq": 0.9892018516682779,
1613
+ "min_activation_freq": 0.704111945191626
1614
+ },
1615
+ "layer_31": {
1616
+ "intermediate_size": 11008,
1617
+ "dead_count": 0,
1618
+ "dead_fraction": 0.0,
1619
+ "mean_activation_freq": 0.9908377562901441,
1620
+ "min_activation_freq": 0.959728656657058
1621
+ },
1622
+ "layer_32": {
1623
+ "intermediate_size": 11008,
1624
+ "dead_count": 0,
1625
+ "dead_fraction": 0.0,
1626
+ "mean_activation_freq": 0.9898270837679124,
1627
+ "min_activation_freq": 0.729032844610768
1628
+ },
1629
+ "layer_33": {
1630
+ "intermediate_size": 11008,
1631
+ "dead_count": 0,
1632
+ "dead_fraction": 0.0,
1633
+ "mean_activation_freq": 0.9886769802738441,
1634
+ "min_activation_freq": 0.7694831260125501
1635
+ },
1636
+ "layer_34": {
1637
+ "intermediate_size": 11008,
1638
+ "dead_count": 0,
1639
+ "dead_fraction": 0.0,
1640
+ "mean_activation_freq": 0.9892861157121923,
1641
+ "min_activation_freq": 0.9623333779875348
1642
+ },
1643
+ "layer_35": {
1644
+ "intermediate_size": 11008,
1645
+ "dead_count": 0,
1646
+ "dead_fraction": 0.0,
1647
+ "mean_activation_freq": 0.9921868755873471,
1648
+ "min_activation_freq": 0.42107434153525003
1649
+ },
1650
+ "_overall": {
1651
+ "dead_count": 11060,
1652
+ "intermediate_total": 396288,
1653
+ "dead_fraction": 0.027908995478036176
1654
+ }
1655
+ },
1656
+ "size": 7069,
1657
+ "size_pre_filter": 7069,
1658
+ "skipped_long": 0
1659
+ }
1660
+ }
1661
+ }
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_50/generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "eos_token_id": 151643,
4
+ "max_new_tokens": 2048,
5
+ "transformers_version": "4.57.6"
6
+ }
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_50/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_50/model-00001-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:50e0799fec5fd42db78af2058614d0f93c35a82290b74d82997389063b1449a2
3
+ size 4702268992
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_50/model-00002-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ebee6fb86e826014cc83d9f13d1f2e8a6a5e8b562956cb15846e93c8191eead7
3
+ size 2091987976
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_50/model.safetensors.index.json ADDED
@@ -0,0 +1,443 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_parameters": 3397103616,
4
+ "total_size": 6794207232
5
+ },
6
+ "weight_map": {
7
+ "lm_head.weight": "model-00002-of-00002.safetensors",
8
+ "model.embed_tokens.weight": "model-00002-of-00002.safetensors",
9
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
10
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
11
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
12
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
13
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
14
+ "model.layers.0.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
15
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
16
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
17
+ "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
18
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
19
+ "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
20
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
21
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
22
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
23
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
24
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
25
+ "model.layers.1.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
26
+ "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
27
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
28
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
29
+ "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
30
+ "model.layers.1.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
31
+ "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
32
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
33
+ "model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
34
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
35
+ "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
36
+ "model.layers.10.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
37
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
38
+ "model.layers.10.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
39
+ "model.layers.10.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
40
+ "model.layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
41
+ "model.layers.10.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
42
+ "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
43
+ "model.layers.10.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
44
+ "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
45
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00002.safetensors",
46
+ "model.layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
47
+ "model.layers.11.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
48
+ "model.layers.11.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
49
+ "model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
50
+ "model.layers.11.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
51
+ "model.layers.11.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
52
+ "model.layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
53
+ "model.layers.11.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
54
+ "model.layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
55
+ "model.layers.11.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
56
+ "model.layers.11.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
57
+ "model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
58
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
59
+ "model.layers.12.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
60
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
61
+ "model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
62
+ "model.layers.12.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
63
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
64
+ "model.layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
65
+ "model.layers.12.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
66
+ "model.layers.12.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
67
+ "model.layers.12.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
68
+ "model.layers.12.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
69
+ "model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
70
+ "model.layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
71
+ "model.layers.13.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
72
+ "model.layers.13.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
73
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
74
+ "model.layers.13.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
75
+ "model.layers.13.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
76
+ "model.layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
77
+ "model.layers.13.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
78
+ "model.layers.13.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
79
+ "model.layers.13.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
80
+ "model.layers.13.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
81
+ "model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
82
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
83
+ "model.layers.14.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
84
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
85
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
86
+ "model.layers.14.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
87
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
88
+ "model.layers.14.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
89
+ "model.layers.14.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
90
+ "model.layers.14.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
91
+ "model.layers.14.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
92
+ "model.layers.14.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
93
+ "model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
94
+ "model.layers.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
95
+ "model.layers.15.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
96
+ "model.layers.15.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
97
+ "model.layers.15.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
98
+ "model.layers.15.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
99
+ "model.layers.15.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
100
+ "model.layers.15.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
101
+ "model.layers.15.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
102
+ "model.layers.15.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
103
+ "model.layers.15.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
104
+ "model.layers.15.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
105
+ "model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
106
+ "model.layers.16.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
107
+ "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
108
+ "model.layers.16.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
109
+ "model.layers.16.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
110
+ "model.layers.16.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
111
+ "model.layers.16.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
112
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
113
+ "model.layers.16.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
114
+ "model.layers.16.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
115
+ "model.layers.16.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
116
+ "model.layers.16.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
117
+ "model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
118
+ "model.layers.17.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
119
+ "model.layers.17.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
120
+ "model.layers.17.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
121
+ "model.layers.17.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
122
+ "model.layers.17.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
123
+ "model.layers.17.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
124
+ "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
125
+ "model.layers.17.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
126
+ "model.layers.17.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
127
+ "model.layers.17.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
128
+ "model.layers.17.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
129
+ "model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
130
+ "model.layers.18.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
131
+ "model.layers.18.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
132
+ "model.layers.18.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
133
+ "model.layers.18.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
134
+ "model.layers.18.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
135
+ "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
136
+ "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
137
+ "model.layers.18.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
138
+ "model.layers.18.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
139
+ "model.layers.18.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
140
+ "model.layers.18.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
141
+ "model.layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
142
+ "model.layers.19.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
143
+ "model.layers.19.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
144
+ "model.layers.19.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
145
+ "model.layers.19.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
146
+ "model.layers.19.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
147
+ "model.layers.19.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
148
+ "model.layers.19.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
149
+ "model.layers.19.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
150
+ "model.layers.19.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
151
+ "model.layers.19.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
152
+ "model.layers.19.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
153
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
154
+ "model.layers.2.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
155
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
156
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
157
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
158
+ "model.layers.2.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
159
+ "model.layers.2.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
160
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
161
+ "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
162
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
163
+ "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
164
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
165
+ "model.layers.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
166
+ "model.layers.20.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
167
+ "model.layers.20.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
168
+ "model.layers.20.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
169
+ "model.layers.20.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
170
+ "model.layers.20.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
171
+ "model.layers.20.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
172
+ "model.layers.20.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
173
+ "model.layers.20.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
174
+ "model.layers.20.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
175
+ "model.layers.20.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
176
+ "model.layers.20.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
177
+ "model.layers.21.input_layernorm.weight": "model-00002-of-00002.safetensors",
178
+ "model.layers.21.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
179
+ "model.layers.21.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
180
+ "model.layers.21.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
181
+ "model.layers.21.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
182
+ "model.layers.21.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
183
+ "model.layers.21.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
184
+ "model.layers.21.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
185
+ "model.layers.21.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
186
+ "model.layers.21.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
187
+ "model.layers.21.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
188
+ "model.layers.21.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
189
+ "model.layers.22.input_layernorm.weight": "model-00001-of-00002.safetensors",
190
+ "model.layers.22.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
191
+ "model.layers.22.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
192
+ "model.layers.22.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
193
+ "model.layers.22.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
194
+ "model.layers.22.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
195
+ "model.layers.22.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
196
+ "model.layers.22.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
197
+ "model.layers.22.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
198
+ "model.layers.22.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
199
+ "model.layers.22.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
200
+ "model.layers.22.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
201
+ "model.layers.23.input_layernorm.weight": "model-00001-of-00002.safetensors",
202
+ "model.layers.23.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
203
+ "model.layers.23.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
204
+ "model.layers.23.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
205
+ "model.layers.23.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
206
+ "model.layers.23.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
207
+ "model.layers.23.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
208
+ "model.layers.23.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
209
+ "model.layers.23.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
210
+ "model.layers.23.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
211
+ "model.layers.23.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
212
+ "model.layers.23.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
213
+ "model.layers.24.input_layernorm.weight": "model-00001-of-00002.safetensors",
214
+ "model.layers.24.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
215
+ "model.layers.24.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
216
+ "model.layers.24.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
217
+ "model.layers.24.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
218
+ "model.layers.24.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
219
+ "model.layers.24.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
220
+ "model.layers.24.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
221
+ "model.layers.24.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
222
+ "model.layers.24.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
223
+ "model.layers.24.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
224
+ "model.layers.24.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
225
+ "model.layers.25.input_layernorm.weight": "model-00001-of-00002.safetensors",
226
+ "model.layers.25.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
227
+ "model.layers.25.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
228
+ "model.layers.25.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
229
+ "model.layers.25.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
230
+ "model.layers.25.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
231
+ "model.layers.25.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
232
+ "model.layers.25.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
233
+ "model.layers.25.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
234
+ "model.layers.25.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
235
+ "model.layers.25.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
236
+ "model.layers.25.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
237
+ "model.layers.26.input_layernorm.weight": "model-00001-of-00002.safetensors",
238
+ "model.layers.26.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
239
+ "model.layers.26.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
240
+ "model.layers.26.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
241
+ "model.layers.26.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
242
+ "model.layers.26.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
243
+ "model.layers.26.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
244
+ "model.layers.26.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
245
+ "model.layers.26.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
246
+ "model.layers.26.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
247
+ "model.layers.26.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
248
+ "model.layers.26.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
249
+ "model.layers.27.input_layernorm.weight": "model-00001-of-00002.safetensors",
250
+ "model.layers.27.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
251
+ "model.layers.27.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
252
+ "model.layers.27.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
253
+ "model.layers.27.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
254
+ "model.layers.27.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
255
+ "model.layers.27.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
256
+ "model.layers.27.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
257
+ "model.layers.27.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
258
+ "model.layers.27.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
259
+ "model.layers.27.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
260
+ "model.layers.27.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
261
+ "model.layers.28.input_layernorm.weight": "model-00001-of-00002.safetensors",
262
+ "model.layers.28.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
263
+ "model.layers.28.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
264
+ "model.layers.28.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
265
+ "model.layers.28.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
266
+ "model.layers.28.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
267
+ "model.layers.28.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
268
+ "model.layers.28.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
269
+ "model.layers.28.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
270
+ "model.layers.28.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
271
+ "model.layers.28.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
272
+ "model.layers.28.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
273
+ "model.layers.29.input_layernorm.weight": "model-00001-of-00002.safetensors",
274
+ "model.layers.29.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
275
+ "model.layers.29.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
276
+ "model.layers.29.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
277
+ "model.layers.29.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
278
+ "model.layers.29.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
279
+ "model.layers.29.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
280
+ "model.layers.29.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
281
+ "model.layers.29.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
282
+ "model.layers.29.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
283
+ "model.layers.29.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
284
+ "model.layers.29.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
285
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
286
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
287
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
288
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
289
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
290
+ "model.layers.3.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
291
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
292
+ "model.layers.3.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
293
+ "model.layers.3.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
294
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
295
+ "model.layers.3.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
296
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
297
+ "model.layers.30.input_layernorm.weight": "model-00002-of-00002.safetensors",
298
+ "model.layers.30.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
299
+ "model.layers.30.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
300
+ "model.layers.30.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
301
+ "model.layers.30.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
302
+ "model.layers.30.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
303
+ "model.layers.30.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
304
+ "model.layers.30.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
305
+ "model.layers.30.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
306
+ "model.layers.30.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
307
+ "model.layers.30.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
308
+ "model.layers.30.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
309
+ "model.layers.31.input_layernorm.weight": "model-00002-of-00002.safetensors",
310
+ "model.layers.31.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
311
+ "model.layers.31.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
312
+ "model.layers.31.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
313
+ "model.layers.31.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
314
+ "model.layers.31.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
315
+ "model.layers.31.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
316
+ "model.layers.31.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
317
+ "model.layers.31.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
318
+ "model.layers.31.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
319
+ "model.layers.31.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
320
+ "model.layers.31.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
321
+ "model.layers.32.input_layernorm.weight": "model-00001-of-00002.safetensors",
322
+ "model.layers.32.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
323
+ "model.layers.32.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
324
+ "model.layers.32.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
325
+ "model.layers.32.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
326
+ "model.layers.32.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
327
+ "model.layers.32.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
328
+ "model.layers.32.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
329
+ "model.layers.32.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
330
+ "model.layers.32.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
331
+ "model.layers.32.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
332
+ "model.layers.32.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
333
+ "model.layers.33.input_layernorm.weight": "model-00001-of-00002.safetensors",
334
+ "model.layers.33.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
335
+ "model.layers.33.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
336
+ "model.layers.33.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
337
+ "model.layers.33.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
338
+ "model.layers.33.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
339
+ "model.layers.33.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
340
+ "model.layers.33.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
341
+ "model.layers.33.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
342
+ "model.layers.33.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
343
+ "model.layers.33.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
344
+ "model.layers.33.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
345
+ "model.layers.34.input_layernorm.weight": "model-00001-of-00002.safetensors",
346
+ "model.layers.34.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
347
+ "model.layers.34.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
348
+ "model.layers.34.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
349
+ "model.layers.34.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
350
+ "model.layers.34.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
351
+ "model.layers.34.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
352
+ "model.layers.34.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
353
+ "model.layers.34.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
354
+ "model.layers.34.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
355
+ "model.layers.34.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
356
+ "model.layers.34.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
357
+ "model.layers.35.input_layernorm.weight": "model-00001-of-00002.safetensors",
358
+ "model.layers.35.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
359
+ "model.layers.35.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
360
+ "model.layers.35.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
361
+ "model.layers.35.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
362
+ "model.layers.35.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
363
+ "model.layers.35.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
364
+ "model.layers.35.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
365
+ "model.layers.35.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
366
+ "model.layers.35.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
367
+ "model.layers.35.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
368
+ "model.layers.35.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
369
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
370
+ "model.layers.4.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
371
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
372
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
373
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
374
+ "model.layers.4.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
375
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
376
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
377
+ "model.layers.4.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
378
+ "model.layers.4.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
379
+ "model.layers.4.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
380
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
381
+ "model.layers.5.input_layernorm.weight": "model-00002-of-00002.safetensors",
382
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
383
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
384
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
385
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
386
+ "model.layers.5.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
387
+ "model.layers.5.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
388
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
389
+ "model.layers.5.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
390
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
391
+ "model.layers.5.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
392
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
393
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
394
+ "model.layers.6.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
395
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
396
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
397
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
398
+ "model.layers.6.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
399
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
400
+ "model.layers.6.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
401
+ "model.layers.6.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
402
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
403
+ "model.layers.6.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
404
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
405
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
406
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
407
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
408
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
409
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
410
+ "model.layers.7.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
411
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
412
+ "model.layers.7.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
413
+ "model.layers.7.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
414
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
415
+ "model.layers.7.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
416
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
417
+ "model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
418
+ "model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
419
+ "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
420
+ "model.layers.8.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
421
+ "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
422
+ "model.layers.8.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
423
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
424
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
425
+ "model.layers.8.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
426
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
427
+ "model.layers.8.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
428
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
429
+ "model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
430
+ "model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
431
+ "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
432
+ "model.layers.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
433
+ "model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
434
+ "model.layers.9.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
435
+ "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
436
+ "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
437
+ "model.layers.9.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
438
+ "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
439
+ "model.layers.9.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
440
+ "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
441
+ "model.norm.weight": "model-00001-of-00002.safetensors"
442
+ }
443
+ }
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_50/special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|endoftext|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_50/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
3
+ size 11421896
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_50/tokenizer_config.json ADDED
@@ -0,0 +1,207 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ }
181
+ },
182
+ "additional_special_tokens": [
183
+ "<|im_start|>",
184
+ "<|im_end|>",
185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "clean_up_tokenization_spaces": false,
199
+ "eos_token": "<|endoftext|>",
200
+ "errors": "replace",
201
+ "extra_special_tokens": {},
202
+ "model_max_length": 131072,
203
+ "pad_token": "<|endoftext|>",
204
+ "split_special_tokens": false,
205
+ "tokenizer_class": "Qwen2Tokenizer",
206
+ "unk_token": null
207
+ }
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_50/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_500/added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_500/chat_template.jinja ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0]['role'] == 'system' %}
4
+ {{- messages[0]['content'] }}
5
+ {%- else %}
6
+ {{- 'You are a helpful assistant.' }}
7
+ {%- endif %}
8
+ {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
9
+ {%- for tool in tools %}
10
+ {{- "\n" }}
11
+ {{- tool | tojson }}
12
+ {%- endfor %}
13
+ {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
14
+ {%- else %}
15
+ {%- if messages[0]['role'] == 'system' %}
16
+ {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
17
+ {%- else %}
18
+ {{- '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}
19
+ {%- endif %}
20
+ {%- endif %}
21
+ {%- for message in messages %}
22
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
23
+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
24
+ {%- elif message.role == "assistant" %}
25
+ {{- '<|im_start|>' + message.role }}
26
+ {%- if message.content %}
27
+ {{- '\n' + message.content }}
28
+ {%- endif %}
29
+ {%- for tool_call in message.tool_calls %}
30
+ {%- if tool_call.function is defined %}
31
+ {%- set tool_call = tool_call.function %}
32
+ {%- endif %}
33
+ {{- '\n<tool_call>\n{"name": "' }}
34
+ {{- tool_call.name }}
35
+ {{- '", "arguments": ' }}
36
+ {{- tool_call.arguments | tojson }}
37
+ {{- '}\n</tool_call>' }}
38
+ {%- endfor %}
39
+ {{- '<|im_end|>\n' }}
40
+ {%- elif message.role == "tool" %}
41
+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
42
+ {{- '<|im_start|>user' }}
43
+ {%- endif %}
44
+ {{- '\n<tool_response>\n' }}
45
+ {{- message.content }}
46
+ {{- '\n</tool_response>' }}
47
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
48
+ {{- '<|im_end|>\n' }}
49
+ {%- endif %}
50
+ {%- endif %}
51
+ {%- endfor %}
52
+ {%- if add_generation_prompt %}
53
+ {{- '<|im_start|>assistant\n' }}
54
+ {%- endif %}
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_500/config.json ADDED
@@ -0,0 +1,67 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen2ForCausalLM"
4
+ ],
5
+ "attention_dropout": 0.0,
6
+ "dtype": "bfloat16",
7
+ "eos_token_id": 151643,
8
+ "hidden_act": "silu",
9
+ "hidden_size": 2048,
10
+ "initializer_range": 0.02,
11
+ "intermediate_size": 11008,
12
+ "layer_types": [
13
+ "full_attention",
14
+ "full_attention",
15
+ "full_attention",
16
+ "full_attention",
17
+ "full_attention",
18
+ "full_attention",
19
+ "full_attention",
20
+ "full_attention",
21
+ "full_attention",
22
+ "full_attention",
23
+ "full_attention",
24
+ "full_attention",
25
+ "full_attention",
26
+ "full_attention",
27
+ "full_attention",
28
+ "full_attention",
29
+ "full_attention",
30
+ "full_attention",
31
+ "full_attention",
32
+ "full_attention",
33
+ "full_attention",
34
+ "full_attention",
35
+ "full_attention",
36
+ "full_attention",
37
+ "full_attention",
38
+ "full_attention",
39
+ "full_attention",
40
+ "full_attention",
41
+ "full_attention",
42
+ "full_attention",
43
+ "full_attention",
44
+ "full_attention",
45
+ "full_attention",
46
+ "full_attention",
47
+ "full_attention",
48
+ "full_attention"
49
+ ],
50
+ "max_position_embeddings": 32768,
51
+ "max_window_layers": 36,
52
+ "model_type": "qwen2",
53
+ "num_attention_heads": 16,
54
+ "num_hidden_layers": 36,
55
+ "num_key_value_heads": 2,
56
+ "pad_token_id": 151643,
57
+ "rms_norm_eps": 1e-06,
58
+ "rope_scaling": null,
59
+ "rope_theta": 1000000.0,
60
+ "sliding_window": null,
61
+ "tie_word_embeddings": true,
62
+ "transformers_version": "4.57.6",
63
+ "use_cache": true,
64
+ "use_mrope": false,
65
+ "use_sliding_window": false,
66
+ "vocab_size": 151936
67
+ }
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_500/eval_metrics.json ADDED
@@ -0,0 +1,1672 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "global_step": 500,
3
+ "ckpt_dir": "/mnt/mystorageoutput/projects/jy_intern/amlt-results/7213899235.25497-028989ec-3fee/qwen3b_kk_rlrb_bs128_nobuf/checkpoints_hf_format/global_step_500",
4
+ "rollouts_dir": "/mnt/mystorageoutput/projects/jy_intern/amlt-results/7213899235.25497-028989ec-3fee/qwen3b_kk_rlrb_bs128_nobuf/rollouts/training",
5
+ "init_model_path": "Qwen/Qwen2.5-3B",
6
+ "prev_step": null,
7
+ "positive_score": 1.0,
8
+ "negative_score": 0.0,
9
+ "history_step_stride": 25,
10
+ "max_samples_per_class": 0,
11
+ "in_batch": {
12
+ "num_records": 1024,
13
+ "source_steps": [
14
+ 500
15
+ ],
16
+ "num_source_steps": 1,
17
+ "num_positives_pre_cap": 488,
18
+ "num_negatives_pre_cap": 536,
19
+ "positive": {
20
+ "loss": 0.29476775232627594,
21
+ "token_entropy": 0.026096323689715758,
22
+ "num_supervised_tokens": 173080,
23
+ "kl_from_init": 2.676508576208211,
24
+ "kl_to_init": 0.33354978872166513,
25
+ "dead_units": {
26
+ "layer_0": {
27
+ "intermediate_size": 11008,
28
+ "dead_count": 0,
29
+ "dead_fraction": 0.0,
30
+ "mean_activation_freq": 0.9231759300377296,
31
+ "min_activation_freq": 0.7816327709729605
32
+ },
33
+ "layer_1": {
34
+ "intermediate_size": 11008,
35
+ "dead_count": 8770,
36
+ "dead_fraction": 0.7966933139534884,
37
+ "mean_activation_freq": 0.14774612622842778,
38
+ "min_activation_freq": 0.0
39
+ },
40
+ "layer_2": {
41
+ "intermediate_size": 11008,
42
+ "dead_count": 7547,
43
+ "dead_fraction": 0.6855922965116279,
44
+ "mean_activation_freq": 0.16652735548590247,
45
+ "min_activation_freq": 0.0
46
+ },
47
+ "layer_3": {
48
+ "intermediate_size": 11008,
49
+ "dead_count": 603,
50
+ "dead_fraction": 0.054778343023255814,
51
+ "mean_activation_freq": 0.38738050163991916,
52
+ "min_activation_freq": 0.0
53
+ },
54
+ "layer_4": {
55
+ "intermediate_size": 11008,
56
+ "dead_count": 25,
57
+ "dead_fraction": 0.002271075581395349,
58
+ "mean_activation_freq": 0.555195625212464,
59
+ "min_activation_freq": 0.0
60
+ },
61
+ "layer_5": {
62
+ "intermediate_size": 11008,
63
+ "dead_count": 16,
64
+ "dead_fraction": 0.0014534883720930232,
65
+ "mean_activation_freq": 0.7192990035232061,
66
+ "min_activation_freq": 0.0
67
+ },
68
+ "layer_6": {
69
+ "intermediate_size": 11008,
70
+ "dead_count": 0,
71
+ "dead_fraction": 0.0,
72
+ "mean_activation_freq": 0.8720686046007763,
73
+ "min_activation_freq": 0.09776981742546799
74
+ },
75
+ "layer_7": {
76
+ "intermediate_size": 11008,
77
+ "dead_count": 0,
78
+ "dead_fraction": 0.0,
79
+ "mean_activation_freq": 0.8848938707013426,
80
+ "min_activation_freq": 0.038756644326323086
81
+ },
82
+ "layer_8": {
83
+ "intermediate_size": 11008,
84
+ "dead_count": 0,
85
+ "dead_fraction": 0.0,
86
+ "mean_activation_freq": 0.9414598362566577,
87
+ "min_activation_freq": 0.09267968569447654
88
+ },
89
+ "layer_9": {
90
+ "intermediate_size": 11008,
91
+ "dead_count": 0,
92
+ "dead_fraction": 0.0,
93
+ "mean_activation_freq": 0.94823362648456,
94
+ "min_activation_freq": 0.24879824358678068
95
+ },
96
+ "layer_10": {
97
+ "intermediate_size": 11008,
98
+ "dead_count": 0,
99
+ "dead_fraction": 0.0,
100
+ "mean_activation_freq": 0.973303017894669,
101
+ "min_activation_freq": 0.6633059856713659
102
+ },
103
+ "layer_11": {
104
+ "intermediate_size": 11008,
105
+ "dead_count": 0,
106
+ "dead_fraction": 0.0,
107
+ "mean_activation_freq": 0.985067698521923,
108
+ "min_activation_freq": 0.9350300439103305
109
+ },
110
+ "layer_12": {
111
+ "intermediate_size": 11008,
112
+ "dead_count": 0,
113
+ "dead_fraction": 0.0,
114
+ "mean_activation_freq": 0.9867772305898671,
115
+ "min_activation_freq": 0.9181592327247516
116
+ },
117
+ "layer_13": {
118
+ "intermediate_size": 11008,
119
+ "dead_count": 0,
120
+ "dead_fraction": 0.0,
121
+ "mean_activation_freq": 0.9808617494732911,
122
+ "min_activation_freq": 0.9029581696325399
123
+ },
124
+ "layer_14": {
125
+ "intermediate_size": 11008,
126
+ "dead_count": 0,
127
+ "dead_fraction": 0.0,
128
+ "mean_activation_freq": 0.9828360311142919,
129
+ "min_activation_freq": 0.8967125028888375
130
+ },
131
+ "layer_15": {
132
+ "intermediate_size": 11008,
133
+ "dead_count": 0,
134
+ "dead_fraction": 0.0,
135
+ "mean_activation_freq": 0.9801047344268143,
136
+ "min_activation_freq": 0.900479547030275
137
+ },
138
+ "layer_16": {
139
+ "intermediate_size": 11008,
140
+ "dead_count": 0,
141
+ "dead_fraction": 0.0,
142
+ "mean_activation_freq": 0.9793156587422942,
143
+ "min_activation_freq": 0.9083314074416455
144
+ },
145
+ "layer_17": {
146
+ "intermediate_size": 11008,
147
+ "dead_count": 0,
148
+ "dead_fraction": 0.0,
149
+ "mean_activation_freq": 0.9790863572632094,
150
+ "min_activation_freq": 0.9210827363069102
151
+ },
152
+ "layer_18": {
153
+ "intermediate_size": 11008,
154
+ "dead_count": 0,
155
+ "dead_fraction": 0.0,
156
+ "mean_activation_freq": 0.9794819122869985,
157
+ "min_activation_freq": 0.9236653570603189
158
+ },
159
+ "layer_19": {
160
+ "intermediate_size": 11008,
161
+ "dead_count": 0,
162
+ "dead_fraction": 0.0,
163
+ "mean_activation_freq": 0.9766200127453161,
164
+ "min_activation_freq": 0.9114571296510284
165
+ },
166
+ "layer_20": {
167
+ "intermediate_size": 11008,
168
+ "dead_count": 0,
169
+ "dead_fraction": 0.0,
170
+ "mean_activation_freq": 0.9792418123080268,
171
+ "min_activation_freq": 0.9119886757568755
172
+ },
173
+ "layer_21": {
174
+ "intermediate_size": 11008,
175
+ "dead_count": 0,
176
+ "dead_fraction": 0.0,
177
+ "mean_activation_freq": 0.9797092880493494,
178
+ "min_activation_freq": 0.9229142593020568
179
+ },
180
+ "layer_22": {
181
+ "intermediate_size": 11008,
182
+ "dead_count": 0,
183
+ "dead_fraction": 0.0,
184
+ "mean_activation_freq": 0.9795912293842812,
185
+ "min_activation_freq": 0.9274497342269471
186
+ },
187
+ "layer_23": {
188
+ "intermediate_size": 11008,
189
+ "dead_count": 0,
190
+ "dead_fraction": 0.0,
191
+ "mean_activation_freq": 0.9797998135314159,
192
+ "min_activation_freq": 0.9392824127571066
193
+ },
194
+ "layer_24": {
195
+ "intermediate_size": 11008,
196
+ "dead_count": 0,
197
+ "dead_fraction": 0.0,
198
+ "mean_activation_freq": 0.9816709026836293,
199
+ "min_activation_freq": 0.9285474924890225
200
+ },
201
+ "layer_25": {
202
+ "intermediate_size": 11008,
203
+ "dead_count": 0,
204
+ "dead_fraction": 0.0,
205
+ "mean_activation_freq": 0.9836678835334918,
206
+ "min_activation_freq": 0.9434192281026116
207
+ },
208
+ "layer_26": {
209
+ "intermediate_size": 11008,
210
+ "dead_count": 0,
211
+ "dead_fraction": 0.0,
212
+ "mean_activation_freq": 0.9856629318434209,
213
+ "min_activation_freq": 0.9553616824589786
214
+ },
215
+ "layer_27": {
216
+ "intermediate_size": 11008,
217
+ "dead_count": 0,
218
+ "dead_fraction": 0.0,
219
+ "mean_activation_freq": 0.9868993217656105,
220
+ "min_activation_freq": 0.9348567136584239
221
+ },
222
+ "layer_28": {
223
+ "intermediate_size": 11008,
224
+ "dead_count": 0,
225
+ "dead_fraction": 0.0,
226
+ "mean_activation_freq": 0.9872705772779157,
227
+ "min_activation_freq": 0.21712502888837532
228
+ },
229
+ "layer_29": {
230
+ "intermediate_size": 11008,
231
+ "dead_count": 0,
232
+ "dead_fraction": 0.0,
233
+ "mean_activation_freq": 0.9884487012785793,
234
+ "min_activation_freq": 0.9590882828749712
235
+ },
236
+ "layer_30": {
237
+ "intermediate_size": 11008,
238
+ "dead_count": 0,
239
+ "dead_fraction": 0.0,
240
+ "mean_activation_freq": 0.9900236509926517,
241
+ "min_activation_freq": 0.5600704876357754
242
+ },
243
+ "layer_31": {
244
+ "intermediate_size": 11008,
245
+ "dead_count": 0,
246
+ "dead_fraction": 0.0,
247
+ "mean_activation_freq": 0.9908845293008743,
248
+ "min_activation_freq": 0.950323549803559
249
+ },
250
+ "layer_32": {
251
+ "intermediate_size": 11008,
252
+ "dead_count": 0,
253
+ "dead_fraction": 0.0,
254
+ "mean_activation_freq": 0.9891045093872104,
255
+ "min_activation_freq": 0.6212329558585625
256
+ },
257
+ "layer_33": {
258
+ "intermediate_size": 11008,
259
+ "dead_count": 0,
260
+ "dead_fraction": 0.0,
261
+ "mean_activation_freq": 0.9871213854050217,
262
+ "min_activation_freq": 0.9226773746244511
263
+ },
264
+ "layer_34": {
265
+ "intermediate_size": 11008,
266
+ "dead_count": 0,
267
+ "dead_fraction": 0.0,
268
+ "mean_activation_freq": 0.9881026333433659,
269
+ "min_activation_freq": 0.8857406979431477
270
+ },
271
+ "layer_35": {
272
+ "intermediate_size": 11008,
273
+ "dead_count": 0,
274
+ "dead_fraction": 0.0,
275
+ "mean_activation_freq": 0.9924326774888343,
276
+ "min_activation_freq": 0.011699792003697713
277
+ },
278
+ "_overall": {
279
+ "dead_count": 16961,
280
+ "intermediate_total": 396288,
281
+ "dead_fraction": 0.042799681040051676
282
+ }
283
+ },
284
+ "size": 488,
285
+ "size_pre_filter": 488,
286
+ "skipped_long": 0
287
+ },
288
+ "negative": {
289
+ "loss": 0.2524803902602439,
290
+ "token_entropy": 0.02645876769458756,
291
+ "num_supervised_tokens": 227477,
292
+ "kl_from_init": 2.5117159128527624,
293
+ "kl_to_init": 0.32113127328456986,
294
+ "dead_units": {
295
+ "layer_0": {
296
+ "intermediate_size": 11008,
297
+ "dead_count": 0,
298
+ "dead_fraction": 0.0,
299
+ "mean_activation_freq": 0.9233478772317232,
300
+ "min_activation_freq": 0.7866597502165054
301
+ },
302
+ "layer_1": {
303
+ "intermediate_size": 11008,
304
+ "dead_count": 8831,
305
+ "dead_fraction": 0.802234738372093,
306
+ "mean_activation_freq": 0.14726101901268115,
307
+ "min_activation_freq": 0.0
308
+ },
309
+ "layer_2": {
310
+ "intermediate_size": 11008,
311
+ "dead_count": 3824,
312
+ "dead_fraction": 0.34738372093023256,
313
+ "mean_activation_freq": 0.16641014741996404,
314
+ "min_activation_freq": 0.0
315
+ },
316
+ "layer_3": {
317
+ "intermediate_size": 11008,
318
+ "dead_count": 428,
319
+ "dead_fraction": 0.03888081395348837,
320
+ "mean_activation_freq": 0.3876000647420423,
321
+ "min_activation_freq": 0.0
322
+ },
323
+ "layer_4": {
324
+ "intermediate_size": 11008,
325
+ "dead_count": 18,
326
+ "dead_fraction": 0.0016351744186046512,
327
+ "mean_activation_freq": 0.558581500726217,
328
+ "min_activation_freq": 0.0
329
+ },
330
+ "layer_5": {
331
+ "intermediate_size": 11008,
332
+ "dead_count": 5,
333
+ "dead_fraction": 0.00045421511627906976,
334
+ "mean_activation_freq": 0.7203305624573237,
335
+ "min_activation_freq": 0.0
336
+ },
337
+ "layer_6": {
338
+ "intermediate_size": 11008,
339
+ "dead_count": 0,
340
+ "dead_fraction": 0.0,
341
+ "mean_activation_freq": 0.8721341463597749,
342
+ "min_activation_freq": 0.09665592565402216
343
+ },
344
+ "layer_7": {
345
+ "intermediate_size": 11008,
346
+ "dead_count": 0,
347
+ "dead_fraction": 0.0,
348
+ "mean_activation_freq": 0.8856429971555517,
349
+ "min_activation_freq": 0.038861071668784095
350
+ },
351
+ "layer_8": {
352
+ "intermediate_size": 11008,
353
+ "dead_count": 0,
354
+ "dead_fraction": 0.0,
355
+ "mean_activation_freq": 0.9416232969240385,
356
+ "min_activation_freq": 0.08555590235496335
357
+ },
358
+ "layer_9": {
359
+ "intermediate_size": 11008,
360
+ "dead_count": 0,
361
+ "dead_fraction": 0.0,
362
+ "mean_activation_freq": 0.9485692461650352,
363
+ "min_activation_freq": 0.26357389977887874
364
+ },
365
+ "layer_10": {
366
+ "intermediate_size": 11008,
367
+ "dead_count": 0,
368
+ "dead_fraction": 0.0,
369
+ "mean_activation_freq": 0.9733775170957739,
370
+ "min_activation_freq": 0.6588710067391428
371
+ },
372
+ "layer_11": {
373
+ "intermediate_size": 11008,
374
+ "dead_count": 0,
375
+ "dead_fraction": 0.0,
376
+ "mean_activation_freq": 0.984993295801896,
377
+ "min_activation_freq": 0.9341383964093072
378
+ },
379
+ "layer_12": {
380
+ "intermediate_size": 11008,
381
+ "dead_count": 0,
382
+ "dead_fraction": 0.0,
383
+ "mean_activation_freq": 0.9867480401129999,
384
+ "min_activation_freq": 0.9127999753821264
385
+ },
386
+ "layer_13": {
387
+ "intermediate_size": 11008,
388
+ "dead_count": 0,
389
+ "dead_fraction": 0.0,
390
+ "mean_activation_freq": 0.9807126212881373,
391
+ "min_activation_freq": 0.9005701675334209
392
+ },
393
+ "layer_14": {
394
+ "intermediate_size": 11008,
395
+ "dead_count": 0,
396
+ "dead_fraction": 0.0,
397
+ "mean_activation_freq": 0.9827787746219627,
398
+ "min_activation_freq": 0.8963147922647124
399
+ },
400
+ "layer_15": {
401
+ "intermediate_size": 11008,
402
+ "dead_count": 0,
403
+ "dead_fraction": 0.0,
404
+ "mean_activation_freq": 0.9800828178060884,
405
+ "min_activation_freq": 0.9021571411615239
406
+ },
407
+ "layer_16": {
408
+ "intermediate_size": 11008,
409
+ "dead_count": 0,
410
+ "dead_fraction": 0.0,
411
+ "mean_activation_freq": 0.9792678247767649,
412
+ "min_activation_freq": 0.9083995305019847
413
+ },
414
+ "layer_17": {
415
+ "intermediate_size": 11008,
416
+ "dead_count": 0,
417
+ "dead_fraction": 0.0,
418
+ "mean_activation_freq": 0.9791033726953075,
419
+ "min_activation_freq": 0.9199567428794998
420
+ },
421
+ "layer_18": {
422
+ "intermediate_size": 11008,
423
+ "dead_count": 0,
424
+ "dead_fraction": 0.0,
425
+ "mean_activation_freq": 0.9795089169857039,
426
+ "min_activation_freq": 0.9221723514904803
427
+ },
428
+ "layer_19": {
429
+ "intermediate_size": 11008,
430
+ "dead_count": 0,
431
+ "dead_fraction": 0.0,
432
+ "mean_activation_freq": 0.9766971797129553,
433
+ "min_activation_freq": 0.9116701908324797
434
+ },
435
+ "layer_20": {
436
+ "intermediate_size": 11008,
437
+ "dead_count": 0,
438
+ "dead_fraction": 0.0,
439
+ "mean_activation_freq": 0.9793024871905015,
440
+ "min_activation_freq": 0.9091600469498015
441
+ },
442
+ "layer_21": {
443
+ "intermediate_size": 11008,
444
+ "dead_count": 0,
445
+ "dead_fraction": 0.0,
446
+ "mean_activation_freq": 0.9796873998429281,
447
+ "min_activation_freq": 0.9169938059671966
448
+ },
449
+ "layer_22": {
450
+ "intermediate_size": 11008,
451
+ "dead_count": 0,
452
+ "dead_fraction": 0.0,
453
+ "mean_activation_freq": 0.9795115906364057,
454
+ "min_activation_freq": 0.9301028235821642
455
+ },
456
+ "layer_23": {
457
+ "intermediate_size": 11008,
458
+ "dead_count": 0,
459
+ "dead_fraction": 0.0,
460
+ "mean_activation_freq": 0.9796576837828275,
461
+ "min_activation_freq": 0.9392817735419404
462
+ },
463
+ "layer_24": {
464
+ "intermediate_size": 11008,
465
+ "dead_count": 0,
466
+ "dead_fraction": 0.0,
467
+ "mean_activation_freq": 0.9816093581426223,
468
+ "min_activation_freq": 0.9301423880216461
469
+ },
470
+ "layer_25": {
471
+ "intermediate_size": 11008,
472
+ "dead_count": 0,
473
+ "dead_fraction": 0.0,
474
+ "mean_activation_freq": 0.9835468811228398,
475
+ "min_activation_freq": 0.942051284305666
476
+ },
477
+ "layer_26": {
478
+ "intermediate_size": 11008,
479
+ "dead_count": 0,
480
+ "dead_fraction": 0.0,
481
+ "mean_activation_freq": 0.9855509270883608,
482
+ "min_activation_freq": 0.9550855690905014
483
+ },
484
+ "layer_27": {
485
+ "intermediate_size": 11008,
486
+ "dead_count": 0,
487
+ "dead_fraction": 0.0,
488
+ "mean_activation_freq": 0.9867987628010642,
489
+ "min_activation_freq": 0.9338834255770913
490
+ },
491
+ "layer_28": {
492
+ "intermediate_size": 11008,
493
+ "dead_count": 0,
494
+ "dead_fraction": 0.0,
495
+ "mean_activation_freq": 0.9871916692497712,
496
+ "min_activation_freq": 0.22380284600201336
497
+ },
498
+ "layer_29": {
499
+ "intermediate_size": 11008,
500
+ "dead_count": 0,
501
+ "dead_fraction": 0.0,
502
+ "mean_activation_freq": 0.9883803815401065,
503
+ "min_activation_freq": 0.9589540920620545
504
+ },
505
+ "layer_30": {
506
+ "intermediate_size": 11008,
507
+ "dead_count": 0,
508
+ "dead_fraction": 0.0,
509
+ "mean_activation_freq": 0.9899712831784118,
510
+ "min_activation_freq": 0.5841469687045283
511
+ },
512
+ "layer_31": {
513
+ "intermediate_size": 11008,
514
+ "dead_count": 0,
515
+ "dead_fraction": 0.0,
516
+ "mean_activation_freq": 0.9908390443683751,
517
+ "min_activation_freq": 0.9463374319161937
518
+ },
519
+ "layer_32": {
520
+ "intermediate_size": 11008,
521
+ "dead_count": 0,
522
+ "dead_fraction": 0.0,
523
+ "mean_activation_freq": 0.9890258048130293,
524
+ "min_activation_freq": 0.6093802889962501
525
+ },
526
+ "layer_33": {
527
+ "intermediate_size": 11008,
528
+ "dead_count": 0,
529
+ "dead_fraction": 0.0,
530
+ "mean_activation_freq": 0.9870121987990914,
531
+ "min_activation_freq": 0.9207524277179671
532
+ },
533
+ "layer_34": {
534
+ "intermediate_size": 11008,
535
+ "dead_count": 0,
536
+ "dead_fraction": 0.0,
537
+ "mean_activation_freq": 0.9879725661441775,
538
+ "min_activation_freq": 0.8997305222066406
539
+ },
540
+ "layer_35": {
541
+ "intermediate_size": 11008,
542
+ "dead_count": 0,
543
+ "dead_fraction": 0.0,
544
+ "mean_activation_freq": 0.9925215649676975,
545
+ "min_activation_freq": 0.012607868048198278
546
+ },
547
+ "_overall": {
548
+ "dead_count": 13106,
549
+ "intermediate_total": 396288,
550
+ "dead_fraction": 0.033071907299741604
551
+ }
552
+ },
553
+ "size": 536,
554
+ "size_pre_filter": 536,
555
+ "skipped_long": 0
556
+ }
557
+ },
558
+ "old_data": {
559
+ "num_records": 19456,
560
+ "source_steps": [
561
+ 25,
562
+ 50,
563
+ 75,
564
+ 100,
565
+ 125,
566
+ 150,
567
+ 175,
568
+ 200,
569
+ 225,
570
+ 250,
571
+ 275,
572
+ 300,
573
+ 325,
574
+ 350,
575
+ 375,
576
+ 400,
577
+ 425,
578
+ 450,
579
+ 475
580
+ ],
581
+ "num_source_steps": 19,
582
+ "num_positives_pre_cap": 6356,
583
+ "num_negatives_pre_cap": 13100,
584
+ "positive": {
585
+ "loss": 0.7454476090931752,
586
+ "token_entropy": 0.032231901771380106,
587
+ "num_supervised_tokens": 2270436,
588
+ "kl_from_init": 2.6791734283912816,
589
+ "kl_to_init": 0.35226681763009327,
590
+ "dead_units": {
591
+ "layer_0": {
592
+ "intermediate_size": 11008,
593
+ "dead_count": 0,
594
+ "dead_fraction": 0.0,
595
+ "mean_activation_freq": 0.9239266822757473,
596
+ "min_activation_freq": 0.7814450616533565
597
+ },
598
+ "layer_1": {
599
+ "intermediate_size": 11008,
600
+ "dead_count": 8764,
601
+ "dead_fraction": 0.7961482558139535,
602
+ "mean_activation_freq": 0.1476711864304047,
603
+ "min_activation_freq": 0.0
604
+ },
605
+ "layer_2": {
606
+ "intermediate_size": 11008,
607
+ "dead_count": 2508,
608
+ "dead_fraction": 0.22783430232558138,
609
+ "mean_activation_freq": 0.1665112797865389,
610
+ "min_activation_freq": 0.0
611
+ },
612
+ "layer_3": {
613
+ "intermediate_size": 11008,
614
+ "dead_count": 44,
615
+ "dead_fraction": 0.003997093023255814,
616
+ "mean_activation_freq": 0.38698727134110894,
617
+ "min_activation_freq": 0.0
618
+ },
619
+ "layer_4": {
620
+ "intermediate_size": 11008,
621
+ "dead_count": 1,
622
+ "dead_fraction": 9.084302325581395e-05,
623
+ "mean_activation_freq": 0.5499155465601816,
624
+ "min_activation_freq": 0.0
625
+ },
626
+ "layer_5": {
627
+ "intermediate_size": 11008,
628
+ "dead_count": 0,
629
+ "dead_fraction": 0.0,
630
+ "mean_activation_freq": 0.7145747542452864,
631
+ "min_activation_freq": 3.083108266429884e-06
632
+ },
633
+ "layer_6": {
634
+ "intermediate_size": 11008,
635
+ "dead_count": 0,
636
+ "dead_fraction": 0.0,
637
+ "mean_activation_freq": 0.866450412701121,
638
+ "min_activation_freq": 0.0928152125847194
639
+ },
640
+ "layer_7": {
641
+ "intermediate_size": 11008,
642
+ "dead_count": 0,
643
+ "dead_fraction": 0.0,
644
+ "mean_activation_freq": 0.881858227377286,
645
+ "min_activation_freq": 0.03624105678380716
646
+ },
647
+ "layer_8": {
648
+ "intermediate_size": 11008,
649
+ "dead_count": 0,
650
+ "dead_fraction": 0.0,
651
+ "mean_activation_freq": 0.9409926852116859,
652
+ "min_activation_freq": 0.09368993444430937
653
+ },
654
+ "layer_9": {
655
+ "intermediate_size": 11008,
656
+ "dead_count": 0,
657
+ "dead_fraction": 0.0,
658
+ "mean_activation_freq": 0.9482247824383782,
659
+ "min_activation_freq": 0.2509363840249186
660
+ },
661
+ "layer_10": {
662
+ "intermediate_size": 11008,
663
+ "dead_count": 0,
664
+ "dead_fraction": 0.0,
665
+ "mean_activation_freq": 0.9731668563572073,
666
+ "min_activation_freq": 0.6661073027383286
667
+ },
668
+ "layer_11": {
669
+ "intermediate_size": 11008,
670
+ "dead_count": 0,
671
+ "dead_fraction": 0.0,
672
+ "mean_activation_freq": 0.9850431127142233,
673
+ "min_activation_freq": 0.9342795833047044
674
+ },
675
+ "layer_12": {
676
+ "intermediate_size": 11008,
677
+ "dead_count": 0,
678
+ "dead_fraction": 0.0,
679
+ "mean_activation_freq": 0.9867271834230247,
680
+ "min_activation_freq": 0.9195084116002389
681
+ },
682
+ "layer_13": {
683
+ "intermediate_size": 11008,
684
+ "dead_count": 0,
685
+ "dead_fraction": 0.0,
686
+ "mean_activation_freq": 0.9807003201348926,
687
+ "min_activation_freq": 0.9061290430560474
688
+ },
689
+ "layer_14": {
690
+ "intermediate_size": 11008,
691
+ "dead_count": 0,
692
+ "dead_fraction": 0.0,
693
+ "mean_activation_freq": 0.9827309440001603,
694
+ "min_activation_freq": 0.9017056635817966
695
+ },
696
+ "layer_15": {
697
+ "intermediate_size": 11008,
698
+ "dead_count": 0,
699
+ "dead_fraction": 0.0,
700
+ "mean_activation_freq": 0.9800353959586269,
701
+ "min_activation_freq": 0.903430442434845
702
+ },
703
+ "layer_16": {
704
+ "intermediate_size": 11008,
705
+ "dead_count": 0,
706
+ "dead_fraction": 0.0,
707
+ "mean_activation_freq": 0.9793749932156893,
708
+ "min_activation_freq": 0.9104163253225371
709
+ },
710
+ "layer_17": {
711
+ "intermediate_size": 11008,
712
+ "dead_count": 0,
713
+ "dead_fraction": 0.0,
714
+ "mean_activation_freq": 0.979128960247767,
715
+ "min_activation_freq": 0.9233129672010133
716
+ },
717
+ "layer_18": {
718
+ "intermediate_size": 11008,
719
+ "dead_count": 0,
720
+ "dead_fraction": 0.0,
721
+ "mean_activation_freq": 0.979509258467534,
722
+ "min_activation_freq": 0.9250007487548647
723
+ },
724
+ "layer_19": {
725
+ "intermediate_size": 11008,
726
+ "dead_count": 0,
727
+ "dead_fraction": 0.0,
728
+ "mean_activation_freq": 0.9765987630524182,
729
+ "min_activation_freq": 0.9152638524054411
730
+ },
731
+ "layer_20": {
732
+ "intermediate_size": 11008,
733
+ "dead_count": 0,
734
+ "dead_fraction": 0.0,
735
+ "mean_activation_freq": 0.9791998134414772,
736
+ "min_activation_freq": 0.9120666691331533
737
+ },
738
+ "layer_21": {
739
+ "intermediate_size": 11008,
740
+ "dead_count": 0,
741
+ "dead_fraction": 0.0,
742
+ "mean_activation_freq": 0.9796994591119309,
743
+ "min_activation_freq": 0.9223761427320567
744
+ },
745
+ "layer_22": {
746
+ "intermediate_size": 11008,
747
+ "dead_count": 0,
748
+ "dead_fraction": 0.0,
749
+ "mean_activation_freq": 0.9796266281212322,
750
+ "min_activation_freq": 0.9302067972847505
751
+ },
752
+ "layer_23": {
753
+ "intermediate_size": 11008,
754
+ "dead_count": 0,
755
+ "dead_fraction": 0.0,
756
+ "mean_activation_freq": 0.9798484967239748,
757
+ "min_activation_freq": 0.9405713263884117
758
+ },
759
+ "layer_24": {
760
+ "intermediate_size": 11008,
761
+ "dead_count": 0,
762
+ "dead_fraction": 0.0,
763
+ "mean_activation_freq": 0.9817185013955879,
764
+ "min_activation_freq": 0.9280556686028586
765
+ },
766
+ "layer_25": {
767
+ "intermediate_size": 11008,
768
+ "dead_count": 0,
769
+ "dead_fraction": 0.0,
770
+ "mean_activation_freq": 0.9837034415153771,
771
+ "min_activation_freq": 0.9427744274667949
772
+ },
773
+ "layer_26": {
774
+ "intermediate_size": 11008,
775
+ "dead_count": 0,
776
+ "dead_fraction": 0.0,
777
+ "mean_activation_freq": 0.9856948925087617,
778
+ "min_activation_freq": 0.9555851827578491
779
+ },
780
+ "layer_27": {
781
+ "intermediate_size": 11008,
782
+ "dead_count": 0,
783
+ "dead_fraction": 0.0,
784
+ "mean_activation_freq": 0.9869472650025048,
785
+ "min_activation_freq": 0.9380894242339357
786
+ },
787
+ "layer_28": {
788
+ "intermediate_size": 11008,
789
+ "dead_count": 0,
790
+ "dead_fraction": 0.0,
791
+ "mean_activation_freq": 0.9873321753611447,
792
+ "min_activation_freq": 0.2186271711688856
793
+ },
794
+ "layer_29": {
795
+ "intermediate_size": 11008,
796
+ "dead_count": 0,
797
+ "dead_fraction": 0.0,
798
+ "mean_activation_freq": 0.9885111412220763,
799
+ "min_activation_freq": 0.9599491022869616
800
+ },
801
+ "layer_30": {
802
+ "intermediate_size": 11008,
803
+ "dead_count": 0,
804
+ "dead_fraction": 0.0,
805
+ "mean_activation_freq": 0.9900727536841273,
806
+ "min_activation_freq": 0.5574603292054918
807
+ },
808
+ "layer_31": {
809
+ "intermediate_size": 11008,
810
+ "dead_count": 0,
811
+ "dead_fraction": 0.0,
812
+ "mean_activation_freq": 0.9909577498371688,
813
+ "min_activation_freq": 0.953755137779704
814
+ },
815
+ "layer_32": {
816
+ "intermediate_size": 11008,
817
+ "dead_count": 0,
818
+ "dead_fraction": 0.0,
819
+ "mean_activation_freq": 0.9892376410993206,
820
+ "min_activation_freq": 0.8110019397155436
821
+ },
822
+ "layer_33": {
823
+ "intermediate_size": 11008,
824
+ "dead_count": 0,
825
+ "dead_fraction": 0.0,
826
+ "mean_activation_freq": 0.9872527908048279,
827
+ "min_activation_freq": 0.9309718485788633
828
+ },
829
+ "layer_34": {
830
+ "intermediate_size": 11008,
831
+ "dead_count": 0,
832
+ "dead_fraction": 0.0,
833
+ "mean_activation_freq": 0.9881711654379327,
834
+ "min_activation_freq": 0.8879959620090591
835
+ },
836
+ "layer_35": {
837
+ "intermediate_size": 11008,
838
+ "dead_count": 0,
839
+ "dead_fraction": 0.0,
840
+ "mean_activation_freq": 0.9923656954634921,
841
+ "min_activation_freq": 0.014799360122901504
842
+ },
843
+ "_overall": {
844
+ "dead_count": 11317,
845
+ "intermediate_total": 396288,
846
+ "dead_fraction": 0.028557513727390182
847
+ }
848
+ },
849
+ "size": 6356,
850
+ "size_pre_filter": 6356,
851
+ "skipped_long": 0
852
+ },
853
+ "negative": {
854
+ "loss": 1.040926190376093,
855
+ "token_entropy": 0.06211246116977184,
856
+ "num_supervised_tokens": 5729254,
857
+ "kl_from_init": 2.3390798504070367,
858
+ "kl_to_init": 0.3414773993923422,
859
+ "dead_units": {
860
+ "layer_0": {
861
+ "intermediate_size": 11008,
862
+ "dead_count": 0,
863
+ "dead_fraction": 0.0,
864
+ "mean_activation_freq": 0.9241840274288754,
865
+ "min_activation_freq": 0.7847642991565744
866
+ },
867
+ "layer_1": {
868
+ "intermediate_size": 11008,
869
+ "dead_count": 1059,
870
+ "dead_fraction": 0.09620276162790697,
871
+ "mean_activation_freq": 0.1474851600139532,
872
+ "min_activation_freq": 0.0
873
+ },
874
+ "layer_2": {
875
+ "intermediate_size": 11008,
876
+ "dead_count": 644,
877
+ "dead_fraction": 0.058502906976744186,
878
+ "mean_activation_freq": 0.16644439072092232,
879
+ "min_activation_freq": 0.0
880
+ },
881
+ "layer_3": {
882
+ "intermediate_size": 11008,
883
+ "dead_count": 0,
884
+ "dead_fraction": 0.0,
885
+ "mean_activation_freq": 0.38702410838433987,
886
+ "min_activation_freq": 1.0472567632714487e-06
887
+ },
888
+ "layer_4": {
889
+ "intermediate_size": 11008,
890
+ "dead_count": 0,
891
+ "dead_fraction": 0.0,
892
+ "mean_activation_freq": 0.5507612410185403,
893
+ "min_activation_freq": 9.774396457200187e-06
894
+ },
895
+ "layer_5": {
896
+ "intermediate_size": 11008,
897
+ "dead_count": 0,
898
+ "dead_fraction": 0.0,
899
+ "mean_activation_freq": 0.7149080896957618,
900
+ "min_activation_freq": 2.1294220853186125e-05
901
+ },
902
+ "layer_6": {
903
+ "intermediate_size": 11008,
904
+ "dead_count": 0,
905
+ "dead_fraction": 0.0,
906
+ "mean_activation_freq": 0.8664292276581936,
907
+ "min_activation_freq": 0.0921503916565752
908
+ },
909
+ "layer_7": {
910
+ "intermediate_size": 11008,
911
+ "dead_count": 0,
912
+ "dead_fraction": 0.0,
913
+ "mean_activation_freq": 0.8831023427381909,
914
+ "min_activation_freq": 0.03936201816152679
915
+ },
916
+ "layer_8": {
917
+ "intermediate_size": 11008,
918
+ "dead_count": 0,
919
+ "dead_fraction": 0.0,
920
+ "mean_activation_freq": 0.9410744219345877,
921
+ "min_activation_freq": 0.09531816882267745
922
+ },
923
+ "layer_9": {
924
+ "intermediate_size": 11008,
925
+ "dead_count": 0,
926
+ "dead_fraction": 0.0,
927
+ "mean_activation_freq": 0.9489731420631972,
928
+ "min_activation_freq": 0.26590425210681884
929
+ },
930
+ "layer_10": {
931
+ "intermediate_size": 11008,
932
+ "dead_count": 0,
933
+ "dead_fraction": 0.0,
934
+ "mean_activation_freq": 0.9733982449102296,
935
+ "min_activation_freq": 0.6771358016244349
936
+ },
937
+ "layer_11": {
938
+ "intermediate_size": 11008,
939
+ "dead_count": 0,
940
+ "dead_fraction": 0.0,
941
+ "mean_activation_freq": 0.985016695561778,
942
+ "min_activation_freq": 0.9334031969956299
943
+ },
944
+ "layer_12": {
945
+ "intermediate_size": 11008,
946
+ "dead_count": 0,
947
+ "dead_fraction": 0.0,
948
+ "mean_activation_freq": 0.9867122773417958,
949
+ "min_activation_freq": 0.9187405550530663
950
+ },
951
+ "layer_13": {
952
+ "intermediate_size": 11008,
953
+ "dead_count": 0,
954
+ "dead_fraction": 0.0,
955
+ "mean_activation_freq": 0.9804927891472981,
956
+ "min_activation_freq": 0.9063052537031873
957
+ },
958
+ "layer_14": {
959
+ "intermediate_size": 11008,
960
+ "dead_count": 0,
961
+ "dead_fraction": 0.0,
962
+ "mean_activation_freq": 0.982578179308686,
963
+ "min_activation_freq": 0.901007181737797
964
+ },
965
+ "layer_15": {
966
+ "intermediate_size": 11008,
967
+ "dead_count": 0,
968
+ "dead_fraction": 0.0,
969
+ "mean_activation_freq": 0.9798902559430889,
970
+ "min_activation_freq": 0.9066150671623218
971
+ },
972
+ "layer_16": {
973
+ "intermediate_size": 11008,
974
+ "dead_count": 0,
975
+ "dead_fraction": 0.0,
976
+ "mean_activation_freq": 0.979308716536194,
977
+ "min_activation_freq": 0.9090164269205031
978
+ },
979
+ "layer_17": {
980
+ "intermediate_size": 11008,
981
+ "dead_count": 0,
982
+ "dead_fraction": 0.0,
983
+ "mean_activation_freq": 0.9790458373140423,
984
+ "min_activation_freq": 0.9231463642561493
985
+ },
986
+ "layer_18": {
987
+ "intermediate_size": 11008,
988
+ "dead_count": 0,
989
+ "dead_fraction": 0.0,
990
+ "mean_activation_freq": 0.979434466691186,
991
+ "min_activation_freq": 0.92578440404283
992
+ },
993
+ "layer_19": {
994
+ "intermediate_size": 11008,
995
+ "dead_count": 0,
996
+ "dead_fraction": 0.0,
997
+ "mean_activation_freq": 0.976472628362571,
998
+ "min_activation_freq": 0.9173663796368603
999
+ },
1000
+ "layer_20": {
1001
+ "intermediate_size": 11008,
1002
+ "dead_count": 0,
1003
+ "dead_fraction": 0.0,
1004
+ "mean_activation_freq": 0.9791444727819378,
1005
+ "min_activation_freq": 0.9172958643481334
1006
+ },
1007
+ "layer_21": {
1008
+ "intermediate_size": 11008,
1009
+ "dead_count": 0,
1010
+ "dead_fraction": 0.0,
1011
+ "mean_activation_freq": 0.9795159356025804,
1012
+ "min_activation_freq": 0.9207334846735719
1013
+ },
1014
+ "layer_22": {
1015
+ "intermediate_size": 11008,
1016
+ "dead_count": 0,
1017
+ "dead_fraction": 0.0,
1018
+ "mean_activation_freq": 0.9793217651639239,
1019
+ "min_activation_freq": 0.9316598635703707
1020
+ },
1021
+ "layer_23": {
1022
+ "intermediate_size": 11008,
1023
+ "dead_count": 0,
1024
+ "dead_fraction": 0.0,
1025
+ "mean_activation_freq": 0.9794342421544395,
1026
+ "min_activation_freq": 0.9406943731243196
1027
+ },
1028
+ "layer_24": {
1029
+ "intermediate_size": 11008,
1030
+ "dead_count": 0,
1031
+ "dead_fraction": 0.0,
1032
+ "mean_activation_freq": 0.9814171089420813,
1033
+ "min_activation_freq": 0.9298030773290904
1034
+ },
1035
+ "layer_25": {
1036
+ "intermediate_size": 11008,
1037
+ "dead_count": 0,
1038
+ "dead_fraction": 0.0,
1039
+ "mean_activation_freq": 0.9833864139702801,
1040
+ "min_activation_freq": 0.9465171207281088
1041
+ },
1042
+ "layer_26": {
1043
+ "intermediate_size": 11008,
1044
+ "dead_count": 0,
1045
+ "dead_fraction": 0.0,
1046
+ "mean_activation_freq": 0.9854357223085363,
1047
+ "min_activation_freq": 0.9552140645186966
1048
+ },
1049
+ "layer_27": {
1050
+ "intermediate_size": 11008,
1051
+ "dead_count": 0,
1052
+ "dead_fraction": 0.0,
1053
+ "mean_activation_freq": 0.9867282782289624,
1054
+ "min_activation_freq": 0.9346892283009272
1055
+ },
1056
+ "layer_28": {
1057
+ "intermediate_size": 11008,
1058
+ "dead_count": 0,
1059
+ "dead_fraction": 0.0,
1060
+ "mean_activation_freq": 0.9871704927195067,
1061
+ "min_activation_freq": 0.22417683000264957
1062
+ },
1063
+ "layer_29": {
1064
+ "intermediate_size": 11008,
1065
+ "dead_count": 0,
1066
+ "dead_fraction": 0.0,
1067
+ "mean_activation_freq": 0.9883659123563724,
1068
+ "min_activation_freq": 0.9600841575534965
1069
+ },
1070
+ "layer_30": {
1071
+ "intermediate_size": 11008,
1072
+ "dead_count": 0,
1073
+ "dead_fraction": 0.0,
1074
+ "mean_activation_freq": 0.9899765631001812,
1075
+ "min_activation_freq": 0.586464136517599
1076
+ },
1077
+ "layer_31": {
1078
+ "intermediate_size": 11008,
1079
+ "dead_count": 0,
1080
+ "dead_fraction": 0.0,
1081
+ "mean_activation_freq": 0.9909251027371825,
1082
+ "min_activation_freq": 0.9540941979531716
1083
+ },
1084
+ "layer_32": {
1085
+ "intermediate_size": 11008,
1086
+ "dead_count": 0,
1087
+ "dead_fraction": 0.0,
1088
+ "mean_activation_freq": 0.9892301796152003,
1089
+ "min_activation_freq": 0.7981040812643322
1090
+ },
1091
+ "layer_33": {
1092
+ "intermediate_size": 11008,
1093
+ "dead_count": 0,
1094
+ "dead_fraction": 0.0,
1095
+ "mean_activation_freq": 0.9872804349865041,
1096
+ "min_activation_freq": 0.9212665383660771
1097
+ },
1098
+ "layer_34": {
1099
+ "intermediate_size": 11008,
1100
+ "dead_count": 0,
1101
+ "dead_fraction": 0.0,
1102
+ "mean_activation_freq": 0.9881342467863181,
1103
+ "min_activation_freq": 0.8986580102749853
1104
+ },
1105
+ "layer_35": {
1106
+ "intermediate_size": 11008,
1107
+ "dead_count": 0,
1108
+ "dead_fraction": 0.0,
1109
+ "mean_activation_freq": 0.9925785040026794,
1110
+ "min_activation_freq": 0.03255764188496443
1111
+ },
1112
+ "_overall": {
1113
+ "dead_count": 1703,
1114
+ "intermediate_total": 396288,
1115
+ "dead_fraction": 0.004297379683462533
1116
+ }
1117
+ },
1118
+ "size": 13100,
1119
+ "size_pre_filter": 13100,
1120
+ "skipped_long": 0
1121
+ }
1122
+ },
1123
+ "new_data": {
1124
+ "num_records": 3072,
1125
+ "source_steps": [
1126
+ 525,
1127
+ 550,
1128
+ 575
1129
+ ],
1130
+ "num_source_steps": 3,
1131
+ "num_positives_pre_cap": 1434,
1132
+ "num_negatives_pre_cap": 1638,
1133
+ "positive": {
1134
+ "loss": 0.33821485426479586,
1135
+ "token_entropy": 0.025639988921793363,
1136
+ "num_supervised_tokens": 530932,
1137
+ "kl_from_init": 2.6304777235240193,
1138
+ "kl_to_init": 0.3304600922095522,
1139
+ "dead_units": {
1140
+ "layer_0": {
1141
+ "intermediate_size": 11008,
1142
+ "dead_count": 0,
1143
+ "dead_fraction": 0.0,
1144
+ "mean_activation_freq": 0.9233125532179022,
1145
+ "min_activation_freq": 0.7851400932699479
1146
+ },
1147
+ "layer_1": {
1148
+ "intermediate_size": 11008,
1149
+ "dead_count": 8792,
1150
+ "dead_fraction": 0.7986918604651163,
1151
+ "mean_activation_freq": 0.14755116712598768,
1152
+ "min_activation_freq": 0.0
1153
+ },
1154
+ "layer_2": {
1155
+ "intermediate_size": 11008,
1156
+ "dead_count": 3670,
1157
+ "dead_fraction": 0.33339389534883723,
1158
+ "mean_activation_freq": 0.16642772239484663,
1159
+ "min_activation_freq": 0.0
1160
+ },
1161
+ "layer_3": {
1162
+ "intermediate_size": 11008,
1163
+ "dead_count": 302,
1164
+ "dead_fraction": 0.027434593023255814,
1165
+ "mean_activation_freq": 0.38656060215398536,
1166
+ "min_activation_freq": 0.0
1167
+ },
1168
+ "layer_4": {
1169
+ "intermediate_size": 11008,
1170
+ "dead_count": 17,
1171
+ "dead_fraction": 0.0015443313953488371,
1172
+ "mean_activation_freq": 0.5552952218462829,
1173
+ "min_activation_freq": 0.0
1174
+ },
1175
+ "layer_5": {
1176
+ "intermediate_size": 11008,
1177
+ "dead_count": 5,
1178
+ "dead_fraction": 0.00045421511627906976,
1179
+ "mean_activation_freq": 0.7189059055667402,
1180
+ "min_activation_freq": 0.0
1181
+ },
1182
+ "layer_6": {
1183
+ "intermediate_size": 11008,
1184
+ "dead_count": 0,
1185
+ "dead_fraction": 0.0,
1186
+ "mean_activation_freq": 0.8717285097476789,
1187
+ "min_activation_freq": 0.09663384388207906
1188
+ },
1189
+ "layer_7": {
1190
+ "intermediate_size": 11008,
1191
+ "dead_count": 0,
1192
+ "dead_fraction": 0.0,
1193
+ "mean_activation_freq": 0.8850921397023055,
1194
+ "min_activation_freq": 0.03639825815735349
1195
+ },
1196
+ "layer_8": {
1197
+ "intermediate_size": 11008,
1198
+ "dead_count": 0,
1199
+ "dead_fraction": 0.0,
1200
+ "mean_activation_freq": 0.9415726108675678,
1201
+ "min_activation_freq": 0.08764775903505534
1202
+ },
1203
+ "layer_9": {
1204
+ "intermediate_size": 11008,
1205
+ "dead_count": 0,
1206
+ "dead_fraction": 0.0,
1207
+ "mean_activation_freq": 0.948444070143481,
1208
+ "min_activation_freq": 0.250327725584444
1209
+ },
1210
+ "layer_10": {
1211
+ "intermediate_size": 11008,
1212
+ "dead_count": 0,
1213
+ "dead_fraction": 0.0,
1214
+ "mean_activation_freq": 0.9733799588534002,
1215
+ "min_activation_freq": 0.6605742354953177
1216
+ },
1217
+ "layer_11": {
1218
+ "intermediate_size": 11008,
1219
+ "dead_count": 0,
1220
+ "dead_fraction": 0.0,
1221
+ "mean_activation_freq": 0.9850193682694048,
1222
+ "min_activation_freq": 0.9353909728552809
1223
+ },
1224
+ "layer_12": {
1225
+ "intermediate_size": 11008,
1226
+ "dead_count": 0,
1227
+ "dead_fraction": 0.0,
1228
+ "mean_activation_freq": 0.986753399400094,
1229
+ "min_activation_freq": 0.9128852659097587
1230
+ },
1231
+ "layer_13": {
1232
+ "intermediate_size": 11008,
1233
+ "dead_count": 0,
1234
+ "dead_fraction": 0.0,
1235
+ "mean_activation_freq": 0.9808305760239256,
1236
+ "min_activation_freq": 0.900578605169777
1237
+ },
1238
+ "layer_14": {
1239
+ "intermediate_size": 11008,
1240
+ "dead_count": 0,
1241
+ "dead_fraction": 0.0,
1242
+ "mean_activation_freq": 0.9828455838254766,
1243
+ "min_activation_freq": 0.8963068716897833
1244
+ },
1245
+ "layer_15": {
1246
+ "intermediate_size": 11008,
1247
+ "dead_count": 0,
1248
+ "dead_fraction": 0.0,
1249
+ "mean_activation_freq": 0.9801225085442116,
1250
+ "min_activation_freq": 0.9003450536038514
1251
+ },
1252
+ "layer_16": {
1253
+ "intermediate_size": 11008,
1254
+ "dead_count": 0,
1255
+ "dead_fraction": 0.0,
1256
+ "mean_activation_freq": 0.9793188039608914,
1257
+ "min_activation_freq": 0.9071802038679153
1258
+ },
1259
+ "layer_17": {
1260
+ "intermediate_size": 11008,
1261
+ "dead_count": 0,
1262
+ "dead_fraction": 0.0,
1263
+ "mean_activation_freq": 0.9791026795503222,
1264
+ "min_activation_freq": 0.9219824760986342
1265
+ },
1266
+ "layer_18": {
1267
+ "intermediate_size": 11008,
1268
+ "dead_count": 0,
1269
+ "dead_fraction": 0.0,
1270
+ "mean_activation_freq": 0.9794749211796318,
1271
+ "min_activation_freq": 0.9225625880527073
1272
+ },
1273
+ "layer_19": {
1274
+ "intermediate_size": 11008,
1275
+ "dead_count": 0,
1276
+ "dead_fraction": 0.0,
1277
+ "mean_activation_freq": 0.9766359991941111,
1278
+ "min_activation_freq": 0.9118907882742047
1279
+ },
1280
+ "layer_20": {
1281
+ "intermediate_size": 11008,
1282
+ "dead_count": 0,
1283
+ "dead_fraction": 0.0,
1284
+ "mean_activation_freq": 0.9792592120313135,
1285
+ "min_activation_freq": 0.9083385442956914
1286
+ },
1287
+ "layer_21": {
1288
+ "intermediate_size": 11008,
1289
+ "dead_count": 0,
1290
+ "dead_fraction": 0.0,
1291
+ "mean_activation_freq": 0.9797252471504038,
1292
+ "min_activation_freq": 0.9240147514182607
1293
+ },
1294
+ "layer_22": {
1295
+ "intermediate_size": 11008,
1296
+ "dead_count": 0,
1297
+ "dead_fraction": 0.0,
1298
+ "mean_activation_freq": 0.979594793720518,
1299
+ "min_activation_freq": 0.9277798286786255
1300
+ },
1301
+ "layer_23": {
1302
+ "intermediate_size": 11008,
1303
+ "dead_count": 0,
1304
+ "dead_fraction": 0.0,
1305
+ "mean_activation_freq": 0.9797909018746258,
1306
+ "min_activation_freq": 0.9401166251045332
1307
+ },
1308
+ "layer_24": {
1309
+ "intermediate_size": 11008,
1310
+ "dead_count": 0,
1311
+ "dead_fraction": 0.0,
1312
+ "mean_activation_freq": 0.9816745329850195,
1313
+ "min_activation_freq": 0.9283448727897359
1314
+ },
1315
+ "layer_25": {
1316
+ "intermediate_size": 11008,
1317
+ "dead_count": 0,
1318
+ "dead_fraction": 0.0,
1319
+ "mean_activation_freq": 0.9836243191191086,
1320
+ "min_activation_freq": 0.9459064437630431
1321
+ },
1322
+ "layer_26": {
1323
+ "intermediate_size": 11008,
1324
+ "dead_count": 0,
1325
+ "dead_fraction": 0.0,
1326
+ "mean_activation_freq": 0.9856272560837074,
1327
+ "min_activation_freq": 0.955303127330807
1328
+ },
1329
+ "layer_27": {
1330
+ "intermediate_size": 11008,
1331
+ "dead_count": 0,
1332
+ "dead_fraction": 0.0,
1333
+ "mean_activation_freq": 0.9868708886744397,
1334
+ "min_activation_freq": 0.9363082277956499
1335
+ },
1336
+ "layer_28": {
1337
+ "intermediate_size": 11008,
1338
+ "dead_count": 0,
1339
+ "dead_fraction": 0.0,
1340
+ "mean_activation_freq": 0.9872494376017955,
1341
+ "min_activation_freq": 0.21718412150708566
1342
+ },
1343
+ "layer_29": {
1344
+ "intermediate_size": 11008,
1345
+ "dead_count": 0,
1346
+ "dead_fraction": 0.0,
1347
+ "mean_activation_freq": 0.988430222381049,
1348
+ "min_activation_freq": 0.9589307105241349
1349
+ },
1350
+ "layer_30": {
1351
+ "intermediate_size": 11008,
1352
+ "dead_count": 0,
1353
+ "dead_fraction": 0.0,
1354
+ "mean_activation_freq": 0.9900088576550292,
1355
+ "min_activation_freq": 0.5648086760639781
1356
+ },
1357
+ "layer_31": {
1358
+ "intermediate_size": 11008,
1359
+ "dead_count": 0,
1360
+ "dead_fraction": 0.0,
1361
+ "mean_activation_freq": 0.9908794598406068,
1362
+ "min_activation_freq": 0.949400299850075
1363
+ },
1364
+ "layer_32": {
1365
+ "intermediate_size": 11008,
1366
+ "dead_count": 0,
1367
+ "dead_fraction": 0.0,
1368
+ "mean_activation_freq": 0.9890614045768508,
1369
+ "min_activation_freq": 0.6032561608642915
1370
+ },
1371
+ "layer_33": {
1372
+ "intermediate_size": 11008,
1373
+ "dead_count": 0,
1374
+ "dead_fraction": 0.0,
1375
+ "mean_activation_freq": 0.987054180504316,
1376
+ "min_activation_freq": 0.9218600498745603
1377
+ },
1378
+ "layer_34": {
1379
+ "intermediate_size": 11008,
1380
+ "dead_count": 0,
1381
+ "dead_fraction": 0.0,
1382
+ "mean_activation_freq": 0.9880216524054717,
1383
+ "min_activation_freq": 0.8925399109490482
1384
+ },
1385
+ "layer_35": {
1386
+ "intermediate_size": 11008,
1387
+ "dead_count": 0,
1388
+ "dead_fraction": 0.0,
1389
+ "mean_activation_freq": 0.9924432348171991,
1390
+ "min_activation_freq": 0.012911257938869762
1391
+ },
1392
+ "_overall": {
1393
+ "dead_count": 12786,
1394
+ "intermediate_total": 396288,
1395
+ "dead_fraction": 0.03226441375968992
1396
+ }
1397
+ },
1398
+ "size": 1434,
1399
+ "size_pre_filter": 1434,
1400
+ "skipped_long": 0
1401
+ },
1402
+ "negative": {
1403
+ "loss": 0.29793909448979494,
1404
+ "token_entropy": 0.025525930389270878,
1405
+ "num_supervised_tokens": 719831,
1406
+ "kl_from_init": 2.4264636157056745,
1407
+ "kl_to_init": 0.3132102073237286,
1408
+ "dead_units": {
1409
+ "layer_0": {
1410
+ "intermediate_size": 11008,
1411
+ "dead_count": 0,
1412
+ "dead_fraction": 0.0,
1413
+ "mean_activation_freq": 0.923366493775162,
1414
+ "min_activation_freq": 0.7830296277876335
1415
+ },
1416
+ "layer_1": {
1417
+ "intermediate_size": 11008,
1418
+ "dead_count": 8823,
1419
+ "dead_fraction": 0.8015079941860465,
1420
+ "mean_activation_freq": 0.14727729070806125,
1421
+ "min_activation_freq": 0.0
1422
+ },
1423
+ "layer_2": {
1424
+ "intermediate_size": 11008,
1425
+ "dead_count": 3863,
1426
+ "dead_fraction": 0.3509265988372093,
1427
+ "mean_activation_freq": 0.16634181054181874,
1428
+ "min_activation_freq": 0.0
1429
+ },
1430
+ "layer_3": {
1431
+ "intermediate_size": 11008,
1432
+ "dead_count": 377,
1433
+ "dead_fraction": 0.03424781976744186,
1434
+ "mean_activation_freq": 0.38724114051273767,
1435
+ "min_activation_freq": 0.0
1436
+ },
1437
+ "layer_4": {
1438
+ "intermediate_size": 11008,
1439
+ "dead_count": 10,
1440
+ "dead_fraction": 0.0009084302325581395,
1441
+ "mean_activation_freq": 0.5584342584546573,
1442
+ "min_activation_freq": 0.0
1443
+ },
1444
+ "layer_5": {
1445
+ "intermediate_size": 11008,
1446
+ "dead_count": 0,
1447
+ "dead_fraction": 0.0,
1448
+ "mean_activation_freq": 0.7206375746367858,
1449
+ "min_activation_freq": 1.3892149685134428e-06
1450
+ },
1451
+ "layer_6": {
1452
+ "intermediate_size": 11008,
1453
+ "dead_count": 0,
1454
+ "dead_fraction": 0.0,
1455
+ "mean_activation_freq": 0.872429061585208,
1456
+ "min_activation_freq": 0.09537238601838488
1457
+ },
1458
+ "layer_7": {
1459
+ "intermediate_size": 11008,
1460
+ "dead_count": 0,
1461
+ "dead_fraction": 0.0,
1462
+ "mean_activation_freq": 0.8864917188562559,
1463
+ "min_activation_freq": 0.03995937935432067
1464
+ },
1465
+ "layer_8": {
1466
+ "intermediate_size": 11008,
1467
+ "dead_count": 0,
1468
+ "dead_fraction": 0.0,
1469
+ "mean_activation_freq": 0.9416414556541342,
1470
+ "min_activation_freq": 0.08572845570696455
1471
+ },
1472
+ "layer_9": {
1473
+ "intermediate_size": 11008,
1474
+ "dead_count": 0,
1475
+ "dead_fraction": 0.0,
1476
+ "mean_activation_freq": 0.948643583579114,
1477
+ "min_activation_freq": 0.26760864702965004
1478
+ },
1479
+ "layer_10": {
1480
+ "intermediate_size": 11008,
1481
+ "dead_count": 0,
1482
+ "dead_fraction": 0.0,
1483
+ "mean_activation_freq": 0.973394151949765,
1484
+ "min_activation_freq": 0.6601688451872731
1485
+ },
1486
+ "layer_11": {
1487
+ "intermediate_size": 11008,
1488
+ "dead_count": 0,
1489
+ "dead_fraction": 0.0,
1490
+ "mean_activation_freq": 0.9849809901328019,
1491
+ "min_activation_freq": 0.9345346338237726
1492
+ },
1493
+ "layer_12": {
1494
+ "intermediate_size": 11008,
1495
+ "dead_count": 0,
1496
+ "dead_fraction": 0.0,
1497
+ "mean_activation_freq": 0.9867426980821856,
1498
+ "min_activation_freq": 0.9105373344576714
1499
+ },
1500
+ "layer_13": {
1501
+ "intermediate_size": 11008,
1502
+ "dead_count": 0,
1503
+ "dead_fraction": 0.0,
1504
+ "mean_activation_freq": 0.98069494935633,
1505
+ "min_activation_freq": 0.9004835857305395
1506
+ },
1507
+ "layer_14": {
1508
+ "intermediate_size": 11008,
1509
+ "dead_count": 0,
1510
+ "dead_fraction": 0.0,
1511
+ "mean_activation_freq": 0.9827661951732986,
1512
+ "min_activation_freq": 0.8942571242416624
1513
+ },
1514
+ "layer_15": {
1515
+ "intermediate_size": 11008,
1516
+ "dead_count": 0,
1517
+ "dead_fraction": 0.0,
1518
+ "mean_activation_freq": 0.980042204466848,
1519
+ "min_activation_freq": 0.9006558483866353
1520
+ },
1521
+ "layer_16": {
1522
+ "intermediate_size": 11008,
1523
+ "dead_count": 0,
1524
+ "dead_fraction": 0.0,
1525
+ "mean_activation_freq": 0.9792576073270333,
1526
+ "min_activation_freq": 0.9078547603534719
1527
+ },
1528
+ "layer_17": {
1529
+ "intermediate_size": 11008,
1530
+ "dead_count": 0,
1531
+ "dead_fraction": 0.0,
1532
+ "mean_activation_freq": 0.9790861012428614,
1533
+ "min_activation_freq": 0.9197436620540099
1534
+ },
1535
+ "layer_18": {
1536
+ "intermediate_size": 11008,
1537
+ "dead_count": 0,
1538
+ "dead_fraction": 0.0,
1539
+ "mean_activation_freq": 0.9794757573638571,
1540
+ "min_activation_freq": 0.9228388330038579
1541
+ },
1542
+ "layer_19": {
1543
+ "intermediate_size": 11008,
1544
+ "dead_count": 0,
1545
+ "dead_fraction": 0.0,
1546
+ "mean_activation_freq": 0.9766209702003535,
1547
+ "min_activation_freq": 0.9109735479577846
1548
+ },
1549
+ "layer_20": {
1550
+ "intermediate_size": 11008,
1551
+ "dead_count": 0,
1552
+ "dead_fraction": 0.0,
1553
+ "mean_activation_freq": 0.979274476293822,
1554
+ "min_activation_freq": 0.9110332842014307
1555
+ },
1556
+ "layer_21": {
1557
+ "intermediate_size": 11008,
1558
+ "dead_count": 0,
1559
+ "dead_fraction": 0.0,
1560
+ "mean_activation_freq": 0.9796543059400442,
1561
+ "min_activation_freq": 0.9184794764326627
1562
+ },
1563
+ "layer_22": {
1564
+ "intermediate_size": 11008,
1565
+ "dead_count": 0,
1566
+ "dead_fraction": 0.0,
1567
+ "mean_activation_freq": 0.9794427082325413,
1568
+ "min_activation_freq": 0.9282887233253362
1569
+ },
1570
+ "layer_23": {
1571
+ "intermediate_size": 11008,
1572
+ "dead_count": 0,
1573
+ "dead_fraction": 0.0,
1574
+ "mean_activation_freq": 0.9795690717712633,
1575
+ "min_activation_freq": 0.9405777189368061
1576
+ },
1577
+ "layer_24": {
1578
+ "intermediate_size": 11008,
1579
+ "dead_count": 0,
1580
+ "dead_fraction": 0.0,
1581
+ "mean_activation_freq": 0.9815346207675749,
1582
+ "min_activation_freq": 0.9295515197317149
1583
+ },
1584
+ "layer_25": {
1585
+ "intermediate_size": 11008,
1586
+ "dead_count": 0,
1587
+ "dead_fraction": 0.0,
1588
+ "mean_activation_freq": 0.9834656967124681,
1589
+ "min_activation_freq": 0.94537745665302
1590
+ },
1591
+ "layer_26": {
1592
+ "intermediate_size": 11008,
1593
+ "dead_count": 0,
1594
+ "dead_fraction": 0.0,
1595
+ "mean_activation_freq": 0.9854904294466906,
1596
+ "min_activation_freq": 0.9555367857177588
1597
+ },
1598
+ "layer_27": {
1599
+ "intermediate_size": 11008,
1600
+ "dead_count": 0,
1601
+ "dead_fraction": 0.0,
1602
+ "mean_activation_freq": 0.9867402797022398,
1603
+ "min_activation_freq": 0.9335038363171356
1604
+ },
1605
+ "layer_28": {
1606
+ "intermediate_size": 11008,
1607
+ "dead_count": 0,
1608
+ "dead_fraction": 0.0,
1609
+ "mean_activation_freq": 0.9871381382239334,
1610
+ "min_activation_freq": 0.21850267632263687
1611
+ },
1612
+ "layer_29": {
1613
+ "intermediate_size": 11008,
1614
+ "dead_count": 0,
1615
+ "dead_fraction": 0.0,
1616
+ "mean_activation_freq": 0.9883242107914186,
1617
+ "min_activation_freq": 0.9583818979732743
1618
+ },
1619
+ "layer_30": {
1620
+ "intermediate_size": 11008,
1621
+ "dead_count": 0,
1622
+ "dead_fraction": 0.0,
1623
+ "mean_activation_freq": 0.9899240326674063,
1624
+ "min_activation_freq": 0.5770423891163343
1625
+ },
1626
+ "layer_31": {
1627
+ "intermediate_size": 11008,
1628
+ "dead_count": 0,
1629
+ "dead_fraction": 0.0,
1630
+ "mean_activation_freq": 0.9908149195177692,
1631
+ "min_activation_freq": 0.9483767717700405
1632
+ },
1633
+ "layer_32": {
1634
+ "intermediate_size": 11008,
1635
+ "dead_count": 0,
1636
+ "dead_fraction": 0.0,
1637
+ "mean_activation_freq": 0.9889912558367625,
1638
+ "min_activation_freq": 0.5964455545815616
1639
+ },
1640
+ "layer_33": {
1641
+ "intermediate_size": 11008,
1642
+ "dead_count": 0,
1643
+ "dead_fraction": 0.0,
1644
+ "mean_activation_freq": 0.9869780621179317,
1645
+ "min_activation_freq": 0.9187712115760506
1646
+ },
1647
+ "layer_34": {
1648
+ "intermediate_size": 11008,
1649
+ "dead_count": 0,
1650
+ "dead_fraction": 0.0,
1651
+ "mean_activation_freq": 0.9879263810434366,
1652
+ "min_activation_freq": 0.8986845523463147
1653
+ },
1654
+ "layer_35": {
1655
+ "intermediate_size": 11008,
1656
+ "dead_count": 0,
1657
+ "dead_fraction": 0.0,
1658
+ "mean_activation_freq": 0.9925581768296519,
1659
+ "min_activation_freq": 0.01514383237176504
1660
+ },
1661
+ "_overall": {
1662
+ "dead_count": 13073,
1663
+ "intermediate_total": 396288,
1664
+ "dead_fraction": 0.03298863452842377
1665
+ }
1666
+ },
1667
+ "size": 1638,
1668
+ "size_pre_filter": 1638,
1669
+ "skipped_long": 0
1670
+ }
1671
+ }
1672
+ }
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_500/generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "eos_token_id": 151643,
4
+ "max_new_tokens": 2048,
5
+ "transformers_version": "4.57.6"
6
+ }
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_500/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_500/model-00001-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8fbbe551df85b22b7dc1b6ad870ba38816609911bb107604a54e9bb0cb575ab6
3
+ size 4993659352
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_500/model-00002-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e206abe2a361a97743a258dbdc7cbe229f42d2a16b805edc02baf8fb90b0dec
3
+ size 1800597624
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_500/model.safetensors.index.json ADDED
@@ -0,0 +1,443 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_parameters": 3397103616,
4
+ "total_size": 6794207232
5
+ },
6
+ "weight_map": {
7
+ "lm_head.weight": "model-00001-of-00002.safetensors",
8
+ "model.embed_tokens.weight": "model-00001-of-00002.safetensors",
9
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
10
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
11
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
12
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
13
+ "model.layers.0.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
14
+ "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
15
+ "model.layers.0.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
16
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
17
+ "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
18
+ "model.layers.0.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
19
+ "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
20
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
21
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
22
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
23
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
24
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
25
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
26
+ "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
27
+ "model.layers.1.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
28
+ "model.layers.1.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
29
+ "model.layers.1.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
30
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
31
+ "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
32
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
33
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00002.safetensors",
34
+ "model.layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
35
+ "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
36
+ "model.layers.10.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
37
+ "model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
38
+ "model.layers.10.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
39
+ "model.layers.10.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
40
+ "model.layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
41
+ "model.layers.10.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
42
+ "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
43
+ "model.layers.10.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
44
+ "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
45
+ "model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
46
+ "model.layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
47
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
48
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
49
+ "model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
50
+ "model.layers.11.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
51
+ "model.layers.11.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
52
+ "model.layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
53
+ "model.layers.11.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
54
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
55
+ "model.layers.11.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
56
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
57
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00002.safetensors",
58
+ "model.layers.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
59
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
60
+ "model.layers.12.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
61
+ "model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
62
+ "model.layers.12.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
63
+ "model.layers.12.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
64
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
65
+ "model.layers.12.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
66
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
67
+ "model.layers.12.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
68
+ "model.layers.12.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
69
+ "model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
70
+ "model.layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
71
+ "model.layers.13.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
72
+ "model.layers.13.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
73
+ "model.layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
74
+ "model.layers.13.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
75
+ "model.layers.13.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
76
+ "model.layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
77
+ "model.layers.13.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
78
+ "model.layers.13.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
79
+ "model.layers.13.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
80
+ "model.layers.13.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
81
+ "model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
82
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
83
+ "model.layers.14.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
84
+ "model.layers.14.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
85
+ "model.layers.14.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
86
+ "model.layers.14.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
87
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
88
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
89
+ "model.layers.14.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
90
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
91
+ "model.layers.14.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
92
+ "model.layers.14.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
93
+ "model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
94
+ "model.layers.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
95
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
96
+ "model.layers.15.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
97
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
98
+ "model.layers.15.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
99
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
100
+ "model.layers.15.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
101
+ "model.layers.15.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
102
+ "model.layers.15.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
103
+ "model.layers.15.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
104
+ "model.layers.15.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
105
+ "model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
106
+ "model.layers.16.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
107
+ "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
108
+ "model.layers.16.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
109
+ "model.layers.16.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
110
+ "model.layers.16.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
111
+ "model.layers.16.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
112
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
113
+ "model.layers.16.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
114
+ "model.layers.16.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
115
+ "model.layers.16.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
116
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
117
+ "model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
118
+ "model.layers.17.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
119
+ "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
120
+ "model.layers.17.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
121
+ "model.layers.17.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
122
+ "model.layers.17.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
123
+ "model.layers.17.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
124
+ "model.layers.17.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
125
+ "model.layers.17.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
126
+ "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
127
+ "model.layers.17.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
128
+ "model.layers.17.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
129
+ "model.layers.18.input_layernorm.weight": "model-00002-of-00002.safetensors",
130
+ "model.layers.18.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
131
+ "model.layers.18.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
132
+ "model.layers.18.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
133
+ "model.layers.18.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
134
+ "model.layers.18.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
135
+ "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
136
+ "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
137
+ "model.layers.18.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
138
+ "model.layers.18.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
139
+ "model.layers.18.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
140
+ "model.layers.18.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
141
+ "model.layers.19.input_layernorm.weight": "model-00002-of-00002.safetensors",
142
+ "model.layers.19.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
143
+ "model.layers.19.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
144
+ "model.layers.19.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
145
+ "model.layers.19.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
146
+ "model.layers.19.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
147
+ "model.layers.19.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
148
+ "model.layers.19.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
149
+ "model.layers.19.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
150
+ "model.layers.19.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
151
+ "model.layers.19.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
152
+ "model.layers.19.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
153
+ "model.layers.2.input_layernorm.weight": "model-00002-of-00002.safetensors",
154
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
155
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
156
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
157
+ "model.layers.2.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
158
+ "model.layers.2.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
159
+ "model.layers.2.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
160
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
161
+ "model.layers.2.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
162
+ "model.layers.2.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
163
+ "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
164
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
165
+ "model.layers.20.input_layernorm.weight": "model-00002-of-00002.safetensors",
166
+ "model.layers.20.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
167
+ "model.layers.20.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
168
+ "model.layers.20.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
169
+ "model.layers.20.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
170
+ "model.layers.20.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
171
+ "model.layers.20.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
172
+ "model.layers.20.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
173
+ "model.layers.20.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
174
+ "model.layers.20.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
175
+ "model.layers.20.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
176
+ "model.layers.20.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
177
+ "model.layers.21.input_layernorm.weight": "model-00002-of-00002.safetensors",
178
+ "model.layers.21.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
179
+ "model.layers.21.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
180
+ "model.layers.21.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
181
+ "model.layers.21.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
182
+ "model.layers.21.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
183
+ "model.layers.21.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
184
+ "model.layers.21.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
185
+ "model.layers.21.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
186
+ "model.layers.21.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
187
+ "model.layers.21.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
188
+ "model.layers.21.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
189
+ "model.layers.22.input_layernorm.weight": "model-00001-of-00002.safetensors",
190
+ "model.layers.22.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
191
+ "model.layers.22.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
192
+ "model.layers.22.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
193
+ "model.layers.22.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
194
+ "model.layers.22.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
195
+ "model.layers.22.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
196
+ "model.layers.22.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
197
+ "model.layers.22.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
198
+ "model.layers.22.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
199
+ "model.layers.22.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
200
+ "model.layers.22.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
201
+ "model.layers.23.input_layernorm.weight": "model-00001-of-00002.safetensors",
202
+ "model.layers.23.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
203
+ "model.layers.23.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
204
+ "model.layers.23.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
205
+ "model.layers.23.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
206
+ "model.layers.23.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
207
+ "model.layers.23.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
208
+ "model.layers.23.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
209
+ "model.layers.23.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
210
+ "model.layers.23.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
211
+ "model.layers.23.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
212
+ "model.layers.23.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
213
+ "model.layers.24.input_layernorm.weight": "model-00001-of-00002.safetensors",
214
+ "model.layers.24.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
215
+ "model.layers.24.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
216
+ "model.layers.24.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
217
+ "model.layers.24.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
218
+ "model.layers.24.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
219
+ "model.layers.24.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
220
+ "model.layers.24.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
221
+ "model.layers.24.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
222
+ "model.layers.24.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
223
+ "model.layers.24.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
224
+ "model.layers.24.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
225
+ "model.layers.25.input_layernorm.weight": "model-00001-of-00002.safetensors",
226
+ "model.layers.25.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
227
+ "model.layers.25.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
228
+ "model.layers.25.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
229
+ "model.layers.25.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
230
+ "model.layers.25.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
231
+ "model.layers.25.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
232
+ "model.layers.25.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
233
+ "model.layers.25.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
234
+ "model.layers.25.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
235
+ "model.layers.25.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
236
+ "model.layers.25.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
237
+ "model.layers.26.input_layernorm.weight": "model-00002-of-00002.safetensors",
238
+ "model.layers.26.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
239
+ "model.layers.26.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
240
+ "model.layers.26.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
241
+ "model.layers.26.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
242
+ "model.layers.26.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
243
+ "model.layers.26.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
244
+ "model.layers.26.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
245
+ "model.layers.26.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
246
+ "model.layers.26.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
247
+ "model.layers.26.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
248
+ "model.layers.26.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
249
+ "model.layers.27.input_layernorm.weight": "model-00001-of-00002.safetensors",
250
+ "model.layers.27.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
251
+ "model.layers.27.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
252
+ "model.layers.27.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
253
+ "model.layers.27.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
254
+ "model.layers.27.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
255
+ "model.layers.27.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
256
+ "model.layers.27.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
257
+ "model.layers.27.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
258
+ "model.layers.27.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
259
+ "model.layers.27.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
260
+ "model.layers.27.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
261
+ "model.layers.28.input_layernorm.weight": "model-00002-of-00002.safetensors",
262
+ "model.layers.28.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
263
+ "model.layers.28.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
264
+ "model.layers.28.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
265
+ "model.layers.28.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
266
+ "model.layers.28.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
267
+ "model.layers.28.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
268
+ "model.layers.28.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
269
+ "model.layers.28.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
270
+ "model.layers.28.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
271
+ "model.layers.28.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
272
+ "model.layers.28.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
273
+ "model.layers.29.input_layernorm.weight": "model-00002-of-00002.safetensors",
274
+ "model.layers.29.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
275
+ "model.layers.29.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
276
+ "model.layers.29.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
277
+ "model.layers.29.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
278
+ "model.layers.29.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
279
+ "model.layers.29.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
280
+ "model.layers.29.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
281
+ "model.layers.29.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
282
+ "model.layers.29.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
283
+ "model.layers.29.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
284
+ "model.layers.29.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
285
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
286
+ "model.layers.3.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
287
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
288
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
289
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
290
+ "model.layers.3.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
291
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
292
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
293
+ "model.layers.3.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
294
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
295
+ "model.layers.3.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
296
+ "model.layers.3.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
297
+ "model.layers.30.input_layernorm.weight": "model-00001-of-00002.safetensors",
298
+ "model.layers.30.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
299
+ "model.layers.30.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
300
+ "model.layers.30.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
301
+ "model.layers.30.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
302
+ "model.layers.30.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
303
+ "model.layers.30.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
304
+ "model.layers.30.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
305
+ "model.layers.30.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
306
+ "model.layers.30.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
307
+ "model.layers.30.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
308
+ "model.layers.30.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
309
+ "model.layers.31.input_layernorm.weight": "model-00001-of-00002.safetensors",
310
+ "model.layers.31.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
311
+ "model.layers.31.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
312
+ "model.layers.31.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
313
+ "model.layers.31.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
314
+ "model.layers.31.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
315
+ "model.layers.31.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
316
+ "model.layers.31.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
317
+ "model.layers.31.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
318
+ "model.layers.31.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
319
+ "model.layers.31.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
320
+ "model.layers.31.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
321
+ "model.layers.32.input_layernorm.weight": "model-00002-of-00002.safetensors",
322
+ "model.layers.32.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
323
+ "model.layers.32.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
324
+ "model.layers.32.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
325
+ "model.layers.32.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
326
+ "model.layers.32.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
327
+ "model.layers.32.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
328
+ "model.layers.32.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
329
+ "model.layers.32.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
330
+ "model.layers.32.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
331
+ "model.layers.32.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
332
+ "model.layers.32.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
333
+ "model.layers.33.input_layernorm.weight": "model-00001-of-00002.safetensors",
334
+ "model.layers.33.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
335
+ "model.layers.33.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
336
+ "model.layers.33.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
337
+ "model.layers.33.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
338
+ "model.layers.33.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
339
+ "model.layers.33.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
340
+ "model.layers.33.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
341
+ "model.layers.33.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
342
+ "model.layers.33.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
343
+ "model.layers.33.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
344
+ "model.layers.33.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
345
+ "model.layers.34.input_layernorm.weight": "model-00001-of-00002.safetensors",
346
+ "model.layers.34.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
347
+ "model.layers.34.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
348
+ "model.layers.34.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
349
+ "model.layers.34.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
350
+ "model.layers.34.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
351
+ "model.layers.34.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
352
+ "model.layers.34.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
353
+ "model.layers.34.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
354
+ "model.layers.34.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
355
+ "model.layers.34.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
356
+ "model.layers.34.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
357
+ "model.layers.35.input_layernorm.weight": "model-00001-of-00002.safetensors",
358
+ "model.layers.35.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
359
+ "model.layers.35.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
360
+ "model.layers.35.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
361
+ "model.layers.35.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
362
+ "model.layers.35.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
363
+ "model.layers.35.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
364
+ "model.layers.35.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
365
+ "model.layers.35.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
366
+ "model.layers.35.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
367
+ "model.layers.35.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
368
+ "model.layers.35.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
369
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
370
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
371
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
372
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
373
+ "model.layers.4.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
374
+ "model.layers.4.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
375
+ "model.layers.4.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
376
+ "model.layers.4.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
377
+ "model.layers.4.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
378
+ "model.layers.4.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
379
+ "model.layers.4.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
380
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
381
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
382
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
383
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
384
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
385
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
386
+ "model.layers.5.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
387
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
388
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
389
+ "model.layers.5.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
390
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
391
+ "model.layers.5.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
392
+ "model.layers.5.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
393
+ "model.layers.6.input_layernorm.weight": "model-00002-of-00002.safetensors",
394
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
395
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
396
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
397
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
398
+ "model.layers.6.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
399
+ "model.layers.6.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
400
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
401
+ "model.layers.6.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
402
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
403
+ "model.layers.6.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
404
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
405
+ "model.layers.7.input_layernorm.weight": "model-00002-of-00002.safetensors",
406
+ "model.layers.7.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
407
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
408
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
409
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
410
+ "model.layers.7.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
411
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
412
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
413
+ "model.layers.7.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
414
+ "model.layers.7.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
415
+ "model.layers.7.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
416
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
417
+ "model.layers.8.input_layernorm.weight": "model-00002-of-00002.safetensors",
418
+ "model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
419
+ "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
420
+ "model.layers.8.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
421
+ "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
422
+ "model.layers.8.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
423
+ "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
424
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
425
+ "model.layers.8.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
426
+ "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
427
+ "model.layers.8.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
428
+ "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
429
+ "model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
430
+ "model.layers.9.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
431
+ "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
432
+ "model.layers.9.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
433
+ "model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
434
+ "model.layers.9.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
435
+ "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
436
+ "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
437
+ "model.layers.9.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
438
+ "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
439
+ "model.layers.9.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
440
+ "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
441
+ "model.norm.weight": "model-00001-of-00002.safetensors"
442
+ }
443
+ }
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_500/special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|endoftext|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_500/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
3
+ size 11421896
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_500/tokenizer_config.json ADDED
@@ -0,0 +1,207 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ }
181
+ },
182
+ "additional_special_tokens": [
183
+ "<|im_start|>",
184
+ "<|im_end|>",
185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "clean_up_tokenization_spaces": false,
199
+ "eos_token": "<|endoftext|>",
200
+ "errors": "replace",
201
+ "extra_special_tokens": {},
202
+ "model_max_length": 131072,
203
+ "pad_token": "<|endoftext|>",
204
+ "split_special_tokens": false,
205
+ "tokenizer_class": "Qwen2Tokenizer",
206
+ "unk_token": null
207
+ }
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_500/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_550/added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_550/chat_template.jinja ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0]['role'] == 'system' %}
4
+ {{- messages[0]['content'] }}
5
+ {%- else %}
6
+ {{- 'You are a helpful assistant.' }}
7
+ {%- endif %}
8
+ {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
9
+ {%- for tool in tools %}
10
+ {{- "\n" }}
11
+ {{- tool | tojson }}
12
+ {%- endfor %}
13
+ {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
14
+ {%- else %}
15
+ {%- if messages[0]['role'] == 'system' %}
16
+ {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
17
+ {%- else %}
18
+ {{- '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}
19
+ {%- endif %}
20
+ {%- endif %}
21
+ {%- for message in messages %}
22
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
23
+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
24
+ {%- elif message.role == "assistant" %}
25
+ {{- '<|im_start|>' + message.role }}
26
+ {%- if message.content %}
27
+ {{- '\n' + message.content }}
28
+ {%- endif %}
29
+ {%- for tool_call in message.tool_calls %}
30
+ {%- if tool_call.function is defined %}
31
+ {%- set tool_call = tool_call.function %}
32
+ {%- endif %}
33
+ {{- '\n<tool_call>\n{"name": "' }}
34
+ {{- tool_call.name }}
35
+ {{- '", "arguments": ' }}
36
+ {{- tool_call.arguments | tojson }}
37
+ {{- '}\n</tool_call>' }}
38
+ {%- endfor %}
39
+ {{- '<|im_end|>\n' }}
40
+ {%- elif message.role == "tool" %}
41
+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
42
+ {{- '<|im_start|>user' }}
43
+ {%- endif %}
44
+ {{- '\n<tool_response>\n' }}
45
+ {{- message.content }}
46
+ {{- '\n</tool_response>' }}
47
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
48
+ {{- '<|im_end|>\n' }}
49
+ {%- endif %}
50
+ {%- endif %}
51
+ {%- endfor %}
52
+ {%- if add_generation_prompt %}
53
+ {{- '<|im_start|>assistant\n' }}
54
+ {%- endif %}
rlrb_bs128_nobuf/checkpoints_hf_format/global_step_550/config.json ADDED
@@ -0,0 +1,67 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen2ForCausalLM"
4
+ ],
5
+ "attention_dropout": 0.0,
6
+ "dtype": "bfloat16",
7
+ "eos_token_id": 151643,
8
+ "hidden_act": "silu",
9
+ "hidden_size": 2048,
10
+ "initializer_range": 0.02,
11
+ "intermediate_size": 11008,
12
+ "layer_types": [
13
+ "full_attention",
14
+ "full_attention",
15
+ "full_attention",
16
+ "full_attention",
17
+ "full_attention",
18
+ "full_attention",
19
+ "full_attention",
20
+ "full_attention",
21
+ "full_attention",
22
+ "full_attention",
23
+ "full_attention",
24
+ "full_attention",
25
+ "full_attention",
26
+ "full_attention",
27
+ "full_attention",
28
+ "full_attention",
29
+ "full_attention",
30
+ "full_attention",
31
+ "full_attention",
32
+ "full_attention",
33
+ "full_attention",
34
+ "full_attention",
35
+ "full_attention",
36
+ "full_attention",
37
+ "full_attention",
38
+ "full_attention",
39
+ "full_attention",
40
+ "full_attention",
41
+ "full_attention",
42
+ "full_attention",
43
+ "full_attention",
44
+ "full_attention",
45
+ "full_attention",
46
+ "full_attention",
47
+ "full_attention",
48
+ "full_attention"
49
+ ],
50
+ "max_position_embeddings": 32768,
51
+ "max_window_layers": 36,
52
+ "model_type": "qwen2",
53
+ "num_attention_heads": 16,
54
+ "num_hidden_layers": 36,
55
+ "num_key_value_heads": 2,
56
+ "pad_token_id": 151643,
57
+ "rms_norm_eps": 1e-06,
58
+ "rope_scaling": null,
59
+ "rope_theta": 1000000.0,
60
+ "sliding_window": null,
61
+ "tie_word_embeddings": true,
62
+ "transformers_version": "4.57.6",
63
+ "use_cache": true,
64
+ "use_mrope": false,
65
+ "use_sliding_window": false,
66
+ "vocab_size": 151936
67
+ }