PocketAiHub commited on
Commit
fbc7b52
·
verified ·
1 Parent(s): b5e0f8e

Add files using upload-large-folder tool

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
LICENSE ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ MIT License
2
+
3
+ Copyright (c) 2026 Deep Reinforce
4
+
5
+ Permission is hereby granted, free of charge, to any person obtaining a copy
6
+ of this software and associated documentation files (the "Software"), to deal
7
+ in the Software without restriction, including without limitation the rights
8
+ to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
9
+ copies of the Software, and to permit persons to whom the Software is
10
+ furnished to do so, subject to the following conditions:
11
+
12
+ The above copyright notice and this permission notice shall be included in all
13
+ copies or substantial portions of the Software.
14
+
15
+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16
+ IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17
+ FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18
+ AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19
+ LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20
+ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21
+ SOFTWARE.
README.md ADDED
@@ -0,0 +1,88 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: mlx
3
+ license: mit
4
+ base_model: ornith-ai/Ornith-1.5-9B
5
+ pipeline_tag: image-text-to-text
6
+ tags:
7
+ - mlx
8
+ - ornith
9
+ - ornith-1.5
10
+ - multimodal
11
+ - abliterated
12
+ - mlx-vlm
13
+ ---
14
+
15
+ # Ornith 1.5 9B Abliterated — MLX-VLM BF16
16
+
17
+ An unofficial experimental derivative of
18
+ [`ornith-ai/Ornith-1.5-9B`](https://huggingface.co/ornith-ai/Ornith-1.5-9B), pinned to
19
+ revision [`c927ad73b7eb20f00aafcaa0a11a9d58ed5487bc`](https://huggingface.co/ornith-ai/Ornith-1.5-9B/tree/c927ad73b7eb20f00aafcaa0a11a9d58ed5487bc).
20
+ The original model is by the Ornith team. The conversion, refusal-direction
21
+ experiment, and validation were performed by PocketAI Model Lab;
22
+ `PocketAiHub` identifies the publisher of this derivative.
23
+
24
+ ## Important safety notice
25
+
26
+ This checkpoint was deliberately modified to suppress learned refusal
27
+ behavior. It may produce harmful, illegal, offensive, deceptive, or dangerously
28
+ incorrect content more readily than the upstream model. Abliteration is not
29
+ truthfulness training, a capability improvement, or a guarantee of universal
30
+ compliance. Independently evaluate and constrain outputs for your use case.
31
+
32
+ ## Release family
33
+
34
+ - [hf-bf16](https://huggingface.co/PocketAiHub/Ornith-1.5-9B-Abliterated)
35
+ - [mlx-bf16](https://huggingface.co/PocketAiHub/Ornith-1.5-9B-Abliterated-MLX-BF16)
36
+ - [mlx-8bit](https://huggingface.co/PocketAiHub/Ornith-1.5-9B-Abliterated-MLX-8bit)
37
+ - [mlx-4bit](https://huggingface.co/PocketAiHub/Ornith-1.5-9B-Abliterated-MLX-4bit)
38
+ - [gguf](https://huggingface.co/PocketAiHub/Ornith-1.5-9B-Abliterated-GGUF)
39
+
40
+
41
+ ## Format and recipe
42
+
43
+ - Format: MLX-VLM
44
+ - Precision: BF16
45
+ - Abliteration scale: 1.0
46
+ - Direction source layer: 23
47
+ - Destination layers: 12–31
48
+ - Modified residual-output tensors: 40
49
+ - Native MTP is not included
50
+ - Text and image-input smoke tests passed.
51
+ - Peak runtime memory in the smoke test: 19.04 GB
52
+
53
+ ## Validation
54
+
55
+ | Gate | Result |
56
+ | --- | ---: |
57
+ | Harmful explicit-refusal phrase flags | 0/100 |
58
+ | Benign explicit-refusal phrase flags | 0/100 |
59
+ | Medium capability suite | 71/80 |
60
+ | Runtime smoke | passed |
61
+
62
+ The medium suite covers math/reasoning, false-premise handling, instruction
63
+ following, coding, structured output, multilingual output, context
64
+ comprehension, and general coherence.
65
+
66
+
67
+ The refusal scorer is phrase based. Manual review found semantic redirects that
68
+ it did not flag, so 0/100 phrase flags does not mean fully uncensored or
69
+ universally compliant. The 256-token runs are early-refusal screens rather than
70
+ complete long-answer evaluations.
71
+
72
+
73
+ See [`abliteration-manifest.json`](./abliteration-manifest.json) and
74
+ [`validation-summary.json`](./validation-summary.json) for machine-readable
75
+ provenance and category-level results.
76
+
77
+ ## Load with MLX-VLM
78
+
79
+ ```bash
80
+ python -m pip install "mlx==0.32.0" "mlx-vlm==0.6.8"
81
+ mlx_vlm.generate --model PocketAiHub/Ornith-1.5-9B-Abliterated-MLX-BF16 --prompt "Explain why seasons occur." --max-tokens 256
82
+ ```
83
+
84
+
85
+ ## License
86
+
87
+ The upstream model card declares MIT. This repository includes the MIT license
88
+ and preserves attribution to the pinned source above.
abliteration-manifest.json ADDED
@@ -0,0 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "schema_version": 1,
3
+ "method": "refusal-direction orthogonal weight projection",
4
+ "base_model": "ornith-ai/Ornith-1.5-9B",
5
+ "base_revision": "c927ad73b7eb20f00aafcaa0a11a9d58ed5487bc",
6
+ "direction": {
7
+ "examples_per_class": 256,
8
+ "kind": "projected_unit_directions",
9
+ "sha256": "97a251920007b644759f7492f0239322657bbb12920522e0a4be6d3852aadffb",
10
+ "source_layer": 23,
11
+ "hidden_state": "residual_post at the assistant-generation boundary"
12
+ },
13
+ "projection": {
14
+ "destination_layers": [
15
+ 12,
16
+ 13,
17
+ 14,
18
+ 15,
19
+ 16,
20
+ 17,
21
+ 18,
22
+ 19,
23
+ 20,
24
+ 21,
25
+ 22,
26
+ 23,
27
+ 24,
28
+ 25,
29
+ 26,
30
+ 27,
31
+ 28,
32
+ 29,
33
+ 30,
34
+ 31
35
+ ],
36
+ "target_kinds": [
37
+ "full_attention_out",
38
+ "linear_attention_out",
39
+ "mlp_down"
40
+ ],
41
+ "scale": 1.0,
42
+ "norm_preserve": true,
43
+ "modified_tensor_count": 40,
44
+ "modified_by_kind": {
45
+ "full_attention_out": 5,
46
+ "linear_attention_out": 15,
47
+ "mlp_down": 20
48
+ }
49
+ },
50
+ "architecture": {
51
+ "modelType": "qwen3_5",
52
+ "modelName": "Ornith-1.5-9B",
53
+ "hiddenSize": 4096,
54
+ "numHiddenLayers": 32,
55
+ "fullAttentionInterval": 4
56
+ }
57
+ }
artifact-manifest.json ADDED
@@ -0,0 +1,99 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "schema_version": 1,
3
+ "generated_at": "2026-08-22T07:48:14.518035+00:00",
4
+ "repository": "PocketAiHub/Ornith-1.5-9B-Abliterated-MLX-BF16",
5
+ "status": "packaged-not-published",
6
+ "visibility": "public",
7
+ "base_model": "ornith-ai/Ornith-1.5-9B",
8
+ "base_revision": "c927ad73b7eb20f00aafcaa0a11a9d58ed5487bc",
9
+ "variant": "mlx-bf16",
10
+ "abliteration_scale": 1.0,
11
+ "files": [
12
+ {
13
+ "path": "LICENSE",
14
+ "size_bytes": 1071,
15
+ "sha256": "1ade8ac5b311a030e098ce9e838b49443ef90923c10f291bce978e3f69702b7d"
16
+ },
17
+ {
18
+ "path": "README.md",
19
+ "size_bytes": 3049,
20
+ "sha256": "e06fdb8fee145cadaf3ab02afd04d671977b53a317beb896fc7dfa0e4b948c1e"
21
+ },
22
+ {
23
+ "path": "abliteration-manifest.json",
24
+ "size_bytes": 1193,
25
+ "sha256": "309b1d6ed1de11b8c450f79c9f1df7ba7cdf709e52fa7dae9d9b2d81fb6dfb67"
26
+ },
27
+ {
28
+ "path": "chat_template.jinja",
29
+ "size_bytes": 7593,
30
+ "sha256": "9dd2fbd270feaa1fbef2d4f634d7887c9c506e3bde140f8e7351c8944e8fd235"
31
+ },
32
+ {
33
+ "path": "config.json",
34
+ "size_bytes": 3403,
35
+ "sha256": "dcbaa0573f942684dde787dd26efe0dbec70b66cf5f095fd02c1408b1322d476"
36
+ },
37
+ {
38
+ "path": "model-00001-of-00004.safetensors",
39
+ "size_bytes": 5348498836,
40
+ "sha256": "051ec706cff54c7585b6522a7ccb46ba6784da23f9c585eef994b6eaf2d96123"
41
+ },
42
+ {
43
+ "path": "model-00002-of-00004.safetensors",
44
+ "size_bytes": 5290355496,
45
+ "sha256": "053437893f8e58daa4a66f10c823893687ffae9743ed12d21535bb7f3aea8287"
46
+ },
47
+ {
48
+ "path": "model-00003-of-00004.safetensors",
49
+ "size_bytes": 5357530280,
50
+ "sha256": "d57b5ae029cd5ced78dd5475cbedffc56e20f4202293ddab820dd50c904fc331"
51
+ },
52
+ {
53
+ "path": "model-00004-of-00004.safetensors",
54
+ "size_bytes": 2823336512,
55
+ "sha256": "c066ae054189129630e603226baa857f5b3c6740597805e00babe727410adc26"
56
+ },
57
+ {
58
+ "path": "model.safetensors.index.json",
59
+ "size_bytes": 72283,
60
+ "sha256": "1160764cbfcf60b05f65368cbf2c89e44a3b55f3005c65e7ef6fb94a2f154700"
61
+ },
62
+ {
63
+ "path": "preprocessor_config.json",
64
+ "size_bytes": 390,
65
+ "sha256": "27225450ac9c6529872ee1924fcb0962ff5634834f817040f444118116f4e516"
66
+ },
67
+ {
68
+ "path": "processor_config.json",
69
+ "size_bytes": 991,
70
+ "sha256": "45fc17c8dd2474af6b493b52483c26c0584b0082d368c480f9fa611e73070040"
71
+ },
72
+ {
73
+ "path": "tokenizer.json",
74
+ "size_bytes": 19989325,
75
+ "sha256": "06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523"
76
+ },
77
+ {
78
+ "path": "tokenizer_config.json",
79
+ "size_bytes": 1165,
80
+ "sha256": "792fa3f0cb88b111e54ef3134c873531008c4df471d108da17903426e308aa7b"
81
+ },
82
+ {
83
+ "path": "validation-summary.json",
84
+ "size_bytes": 3541,
85
+ "sha256": "be7ad26ba85caf68b79fc30afad1eb2b097b114f6613df3980fb2defa921ae07"
86
+ },
87
+ {
88
+ "path": "video_preprocessor_config.json",
89
+ "size_bytes": 385,
90
+ "sha256": "7768af27c1fafa9cc9011c1dc20067e03f8915e03b63504550e11d5066986d13"
91
+ },
92
+ {
93
+ "path": "vocab.json",
94
+ "size_bytes": 6722759,
95
+ "sha256": "ce99b4cb2983d118806ce0a8b777a35b093e2000a503ebde25853284c9dfa003"
96
+ }
97
+ ],
98
+ "total_size_bytes": 18846528272
99
+ }
chat_template.jinja ADDED
@@ -0,0 +1,150 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- set image_count = namespace(value=0) %}
2
+ {%- set video_count = namespace(value=0) %}
3
+ {%- macro render_content(content, do_vision_count, is_system_content=false) %}
4
+ {%- if content is string %}
5
+ {{- content }}
6
+ {%- elif content is iterable and content is not mapping %}
7
+ {%- for item in content %}
8
+ {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
9
+ {%- if is_system_content %}
10
+ {{- raise_exception('System message cannot contain images.') }}
11
+ {%- endif %}
12
+ {%- if do_vision_count %}
13
+ {%- set image_count.value = image_count.value + 1 %}
14
+ {%- endif %}
15
+ {%- if add_vision_id %}
16
+ {{- 'Picture ' ~ image_count.value ~ ': ' }}
17
+ {%- endif %}
18
+ {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
19
+ {%- elif 'video' in item or item.type == 'video' %}
20
+ {%- if is_system_content %}
21
+ {{- raise_exception('System message cannot contain videos.') }}
22
+ {%- endif %}
23
+ {%- if do_vision_count %}
24
+ {%- set video_count.value = video_count.value + 1 %}
25
+ {%- endif %}
26
+ {%- if add_vision_id %}
27
+ {{- 'Video ' ~ video_count.value ~ ': ' }}
28
+ {%- endif %}
29
+ {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
30
+ {%- elif 'text' in item %}
31
+ {{- item.text }}
32
+ {%- else %}
33
+ {{- raise_exception('Unexpected item type in content.') }}
34
+ {%- endif %}
35
+ {%- endfor %}
36
+ {%- elif content is none or content is undefined %}
37
+ {{- '' }}
38
+ {%- else %}
39
+ {{- raise_exception('Unexpected content type.') }}
40
+ {%- endif %}
41
+ {%- endmacro %}
42
+ {%- if not messages %}
43
+ {{- raise_exception('No messages provided.') }}
44
+ {%- endif %}
45
+ {%- if tools and tools is iterable and tools is not mapping %}
46
+ {{- '<|im_start|>system\n' }}
47
+ {{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
48
+ {%- for tool in tools %}
49
+ {{- "\n" }}
50
+ {{- tool | tojson }}
51
+ {%- endfor %}
52
+ {{- "\n</tools>" }}
53
+ {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
54
+ {%- if messages[0].role == 'system' %}
55
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
56
+ {%- if content %}
57
+ {{- '\n\n' + content }}
58
+ {%- endif %}
59
+ {%- endif %}
60
+ {{- '<|im_end|>\n' }}
61
+ {%- else %}
62
+ {%- if messages[0].role == 'system' %}
63
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
64
+ {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
65
+ {%- endif %}
66
+ {%- endif %}
67
+ {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
68
+ {%- for message in messages[::-1] %}
69
+ {%- set index = (messages|length - 1) - loop.index0 %}
70
+ {%- if ns.multi_step_tool and message.role == "user" %}
71
+ {%- set content = render_content(message.content, false)|trim %}
72
+ {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
73
+ {%- set ns.multi_step_tool = false %}
74
+ {%- set ns.last_query_index = index %}
75
+ {%- endif %}
76
+ {%- endif %}
77
+ {%- endfor %}
78
+ {%- if ns.multi_step_tool %}
79
+ {{- raise_exception('No user query found in messages.') }}
80
+ {%- endif %}
81
+ {%- for message in messages %}
82
+ {%- set content = render_content(message.content, true)|trim %}
83
+ {%- if message.role == "system" %}
84
+ {%- if not loop.first %}
85
+ {{- raise_exception('System message must be at the beginning.') }}
86
+ {%- endif %}
87
+ {%- elif message.role == "user" %}
88
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
89
+ {%- elif message.role == "assistant" %}
90
+ {%- set reasoning_content = '' %}
91
+ {%- if message.reasoning_content is string %}
92
+ {%- set reasoning_content = message.reasoning_content %}
93
+ {%- else %}
94
+ {%- if '</think>' in content %}
95
+ {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
96
+ {%- set content = content.split('</think>')[-1].lstrip('\n') %}
97
+ {%- endif %}
98
+ {%- endif %}
99
+ {%- set reasoning_content = reasoning_content|trim %}
100
+ {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
101
+ {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
102
+ {%- for tool_call in message.tool_calls %}
103
+ {%- if tool_call.function is defined %}
104
+ {%- set tool_call = tool_call.function %}
105
+ {%- endif %}
106
+ {%- if loop.first %}
107
+ {%- if content|trim %}
108
+ {{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
109
+ {%- else %}
110
+ {{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
111
+ {%- endif %}
112
+ {%- else %}
113
+ {{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
114
+ {%- endif %}
115
+ {%- if tool_call.arguments is defined %}
116
+ {%- for args_name, args_value in tool_call.arguments|items %}
117
+ {{- '<parameter=' + args_name + '>\n' }}
118
+ {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
119
+ {{- args_value }}
120
+ {{- '\n</parameter>\n' }}
121
+ {%- endfor %}
122
+ {%- endif %}
123
+ {{- '</function>\n</tool_call>' }}
124
+ {%- endfor %}
125
+ {%- endif %}
126
+ {{- '<|im_end|>\n' }}
127
+ {%- elif message.role == "tool" %}
128
+ {%- if loop.previtem and loop.previtem.role != "tool" %}
129
+ {{- '<|im_start|>user' }}
130
+ {%- endif %}
131
+ {{- '\n<tool_response>\n' }}
132
+ {{- content }}
133
+ {{- '\n</tool_response>' }}
134
+ {%- if not loop.last and loop.nextitem.role != "tool" %}
135
+ {{- '<|im_end|>\n' }}
136
+ {%- elif loop.last %}
137
+ {{- '<|im_end|>\n' }}
138
+ {%- endif %}
139
+ {%- else %}
140
+ {{- raise_exception('Unexpected message role.') }}
141
+ {%- endif %}
142
+ {%- endfor %}
143
+ {%- if add_generation_prompt %}
144
+ {{- '<|im_start|>assistant\n' }}
145
+ {%- if enable_thinking is defined and enable_thinking is false %}
146
+ {{- '<think>\n\n</think>\n\n' }}
147
+ {%- else %}
148
+ {{- '<think>\n' }}
149
+ {%- endif %}
150
+ {%- endif %}
config.json ADDED
@@ -0,0 +1,112 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen3_5ForConditionalGeneration"
4
+ ],
5
+ "dtype": "bfloat16",
6
+ "eos_token_id": 248046,
7
+ "hidden_size": 4096,
8
+ "image_token_id": 248056,
9
+ "model_type": "qwen3_5",
10
+ "pad_token_id": 248044,
11
+ "text_config": {
12
+ "attention_bias": false,
13
+ "attention_dropout": 0.0,
14
+ "attn_output_gate": true,
15
+ "bos_token_id": null,
16
+ "dtype": "bfloat16",
17
+ "eos_token_id": 248044,
18
+ "full_attention_interval": 4,
19
+ "head_dim": 256,
20
+ "hidden_act": "silu",
21
+ "hidden_size": 4096,
22
+ "initializer_range": 0.02,
23
+ "intermediate_size": 12288,
24
+ "layer_types": [
25
+ "linear_attention",
26
+ "linear_attention",
27
+ "linear_attention",
28
+ "full_attention",
29
+ "linear_attention",
30
+ "linear_attention",
31
+ "linear_attention",
32
+ "full_attention",
33
+ "linear_attention",
34
+ "linear_attention",
35
+ "linear_attention",
36
+ "full_attention",
37
+ "linear_attention",
38
+ "linear_attention",
39
+ "linear_attention",
40
+ "full_attention",
41
+ "linear_attention",
42
+ "linear_attention",
43
+ "linear_attention",
44
+ "full_attention",
45
+ "linear_attention",
46
+ "linear_attention",
47
+ "linear_attention",
48
+ "full_attention",
49
+ "linear_attention",
50
+ "linear_attention",
51
+ "linear_attention",
52
+ "full_attention",
53
+ "linear_attention",
54
+ "linear_attention",
55
+ "linear_attention",
56
+ "full_attention"
57
+ ],
58
+ "linear_conv_kernel_dim": 4,
59
+ "linear_key_head_dim": 128,
60
+ "linear_num_key_heads": 16,
61
+ "linear_num_value_heads": 32,
62
+ "linear_value_head_dim": 128,
63
+ "mamba_ssm_dtype": "float32",
64
+ "max_position_embeddings": 262144,
65
+ "mlp_only_layers": [],
66
+ "model_type": "qwen3_5_text",
67
+ "mtp_num_hidden_layers": 1,
68
+ "mtp_use_dedicated_embeddings": false,
69
+ "num_attention_heads": 16,
70
+ "num_hidden_layers": 32,
71
+ "num_key_value_heads": 4,
72
+ "pad_token_id": 248044,
73
+ "partial_rotary_factor": 0.25,
74
+ "rms_norm_eps": 1e-06,
75
+ "rope_parameters": {
76
+ "mrope_interleaved": true,
77
+ "mrope_section": [
78
+ 11,
79
+ 11,
80
+ 10
81
+ ],
82
+ "partial_rotary_factor": 0.25,
83
+ "rope_theta": 10000000,
84
+ "rope_type": "default"
85
+ },
86
+ "tie_word_embeddings": false,
87
+ "use_cache": false,
88
+ "vocab_size": 248320
89
+ },
90
+ "tie_word_embeddings": false,
91
+ "transformers_version": "5.12.1",
92
+ "video_token_id": 248057,
93
+ "vision_config": {
94
+ "deepstack_visual_indexes": [],
95
+ "depth": 27,
96
+ "dtype": "bfloat16",
97
+ "hidden_act": "gelu_pytorch_tanh",
98
+ "hidden_size": 1152,
99
+ "in_channels": 3,
100
+ "initializer_range": 0.02,
101
+ "intermediate_size": 4304,
102
+ "model_type": "qwen3_5_vision",
103
+ "num_heads": 16,
104
+ "num_position_embeddings": 2304,
105
+ "out_hidden_size": 4096,
106
+ "patch_size": 16,
107
+ "spatial_merge_size": 2,
108
+ "temporal_patch_size": 2
109
+ },
110
+ "vision_end_token_id": 248054,
111
+ "vision_start_token_id": 248053
112
+ }
model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:051ec706cff54c7585b6522a7ccb46ba6784da23f9c585eef994b6eaf2d96123
3
+ size 5348498836
model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:053437893f8e58daa4a66f10c823893687ffae9743ed12d21535bb7f3aea8287
3
+ size 5290355496
model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d57b5ae029cd5ced78dd5475cbedffc56e20f4202293ddab820dd50c904fc331
3
+ size 5357530280
model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c066ae054189129630e603226baa857f5b3c6740597805e00babe727410adc26
3
+ size 2823336512
model.safetensors.index.json ADDED
@@ -0,0 +1,767 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 18819627488
4
+ },
5
+ "weight_map": {
6
+ "language_model.lm_head.weight": "model-00004-of-00004.safetensors",
7
+ "language_model.model.embed_tokens.weight": "model-00001-of-00004.safetensors",
8
+ "language_model.model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
9
+ "language_model.model.layers.0.linear_attn.A_log": "model-00001-of-00004.safetensors",
10
+ "language_model.model.layers.0.linear_attn.conv1d.weight": "model-00001-of-00004.safetensors",
11
+ "language_model.model.layers.0.linear_attn.dt_bias": "model-00001-of-00004.safetensors",
12
+ "language_model.model.layers.0.linear_attn.in_proj_a.weight": "model-00001-of-00004.safetensors",
13
+ "language_model.model.layers.0.linear_attn.in_proj_b.weight": "model-00001-of-00004.safetensors",
14
+ "language_model.model.layers.0.linear_attn.in_proj_qkv.weight": "model-00001-of-00004.safetensors",
15
+ "language_model.model.layers.0.linear_attn.in_proj_z.weight": "model-00001-of-00004.safetensors",
16
+ "language_model.model.layers.0.linear_attn.norm.weight": "model-00001-of-00004.safetensors",
17
+ "language_model.model.layers.0.linear_attn.out_proj.weight": "model-00001-of-00004.safetensors",
18
+ "language_model.model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
19
+ "language_model.model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
20
+ "language_model.model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
21
+ "language_model.model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
22
+ "language_model.model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
23
+ "language_model.model.layers.1.linear_attn.A_log": "model-00001-of-00004.safetensors",
24
+ "language_model.model.layers.1.linear_attn.conv1d.weight": "model-00001-of-00004.safetensors",
25
+ "language_model.model.layers.1.linear_attn.dt_bias": "model-00001-of-00004.safetensors",
26
+ "language_model.model.layers.1.linear_attn.in_proj_a.weight": "model-00001-of-00004.safetensors",
27
+ "language_model.model.layers.1.linear_attn.in_proj_b.weight": "model-00001-of-00004.safetensors",
28
+ "language_model.model.layers.1.linear_attn.in_proj_qkv.weight": "model-00001-of-00004.safetensors",
29
+ "language_model.model.layers.1.linear_attn.in_proj_z.weight": "model-00001-of-00004.safetensors",
30
+ "language_model.model.layers.1.linear_attn.norm.weight": "model-00001-of-00004.safetensors",
31
+ "language_model.model.layers.1.linear_attn.out_proj.weight": "model-00001-of-00004.safetensors",
32
+ "language_model.model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
33
+ "language_model.model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
34
+ "language_model.model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
35
+ "language_model.model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
36
+ "language_model.model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
37
+ "language_model.model.layers.10.linear_attn.A_log": "model-00002-of-00004.safetensors",
38
+ "language_model.model.layers.10.linear_attn.conv1d.weight": "model-00002-of-00004.safetensors",
39
+ "language_model.model.layers.10.linear_attn.dt_bias": "model-00002-of-00004.safetensors",
40
+ "language_model.model.layers.10.linear_attn.in_proj_a.weight": "model-00002-of-00004.safetensors",
41
+ "language_model.model.layers.10.linear_attn.in_proj_b.weight": "model-00002-of-00004.safetensors",
42
+ "language_model.model.layers.10.linear_attn.in_proj_qkv.weight": "model-00002-of-00004.safetensors",
43
+ "language_model.model.layers.10.linear_attn.in_proj_z.weight": "model-00002-of-00004.safetensors",
44
+ "language_model.model.layers.10.linear_attn.norm.weight": "model-00002-of-00004.safetensors",
45
+ "language_model.model.layers.10.linear_attn.out_proj.weight": "model-00002-of-00004.safetensors",
46
+ "language_model.model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
47
+ "language_model.model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
48
+ "language_model.model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
49
+ "language_model.model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
50
+ "language_model.model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
51
+ "language_model.model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
52
+ "language_model.model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
53
+ "language_model.model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
54
+ "language_model.model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
55
+ "language_model.model.layers.11.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
56
+ "language_model.model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
57
+ "language_model.model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
58
+ "language_model.model.layers.11.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
59
+ "language_model.model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
60
+ "language_model.model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
61
+ "language_model.model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
62
+ "language_model.model.layers.12.linear_attn.A_log": "model-00002-of-00004.safetensors",
63
+ "language_model.model.layers.12.linear_attn.conv1d.weight": "model-00002-of-00004.safetensors",
64
+ "language_model.model.layers.12.linear_attn.dt_bias": "model-00002-of-00004.safetensors",
65
+ "language_model.model.layers.12.linear_attn.in_proj_a.weight": "model-00002-of-00004.safetensors",
66
+ "language_model.model.layers.12.linear_attn.in_proj_b.weight": "model-00002-of-00004.safetensors",
67
+ "language_model.model.layers.12.linear_attn.in_proj_qkv.weight": "model-00002-of-00004.safetensors",
68
+ "language_model.model.layers.12.linear_attn.in_proj_z.weight": "model-00002-of-00004.safetensors",
69
+ "language_model.model.layers.12.linear_attn.norm.weight": "model-00002-of-00004.safetensors",
70
+ "language_model.model.layers.12.linear_attn.out_proj.weight": "model-00002-of-00004.safetensors",
71
+ "language_model.model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
72
+ "language_model.model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
73
+ "language_model.model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
74
+ "language_model.model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
75
+ "language_model.model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
76
+ "language_model.model.layers.13.linear_attn.A_log": "model-00002-of-00004.safetensors",
77
+ "language_model.model.layers.13.linear_attn.conv1d.weight": "model-00002-of-00004.safetensors",
78
+ "language_model.model.layers.13.linear_attn.dt_bias": "model-00002-of-00004.safetensors",
79
+ "language_model.model.layers.13.linear_attn.in_proj_a.weight": "model-00002-of-00004.safetensors",
80
+ "language_model.model.layers.13.linear_attn.in_proj_b.weight": "model-00002-of-00004.safetensors",
81
+ "language_model.model.layers.13.linear_attn.in_proj_qkv.weight": "model-00002-of-00004.safetensors",
82
+ "language_model.model.layers.13.linear_attn.in_proj_z.weight": "model-00002-of-00004.safetensors",
83
+ "language_model.model.layers.13.linear_attn.norm.weight": "model-00002-of-00004.safetensors",
84
+ "language_model.model.layers.13.linear_attn.out_proj.weight": "model-00002-of-00004.safetensors",
85
+ "language_model.model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
86
+ "language_model.model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
87
+ "language_model.model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
88
+ "language_model.model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
89
+ "language_model.model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
90
+ "language_model.model.layers.14.linear_attn.A_log": "model-00002-of-00004.safetensors",
91
+ "language_model.model.layers.14.linear_attn.conv1d.weight": "model-00002-of-00004.safetensors",
92
+ "language_model.model.layers.14.linear_attn.dt_bias": "model-00002-of-00004.safetensors",
93
+ "language_model.model.layers.14.linear_attn.in_proj_a.weight": "model-00002-of-00004.safetensors",
94
+ "language_model.model.layers.14.linear_attn.in_proj_b.weight": "model-00002-of-00004.safetensors",
95
+ "language_model.model.layers.14.linear_attn.in_proj_qkv.weight": "model-00002-of-00004.safetensors",
96
+ "language_model.model.layers.14.linear_attn.in_proj_z.weight": "model-00002-of-00004.safetensors",
97
+ "language_model.model.layers.14.linear_attn.norm.weight": "model-00002-of-00004.safetensors",
98
+ "language_model.model.layers.14.linear_attn.out_proj.weight": "model-00002-of-00004.safetensors",
99
+ "language_model.model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
100
+ "language_model.model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
101
+ "language_model.model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
102
+ "language_model.model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
103
+ "language_model.model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
104
+ "language_model.model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
105
+ "language_model.model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
106
+ "language_model.model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
107
+ "language_model.model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
108
+ "language_model.model.layers.15.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
109
+ "language_model.model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
110
+ "language_model.model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
111
+ "language_model.model.layers.15.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
112
+ "language_model.model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
113
+ "language_model.model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
114
+ "language_model.model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
115
+ "language_model.model.layers.16.linear_attn.A_log": "model-00002-of-00004.safetensors",
116
+ "language_model.model.layers.16.linear_attn.conv1d.weight": "model-00002-of-00004.safetensors",
117
+ "language_model.model.layers.16.linear_attn.dt_bias": "model-00002-of-00004.safetensors",
118
+ "language_model.model.layers.16.linear_attn.in_proj_a.weight": "model-00002-of-00004.safetensors",
119
+ "language_model.model.layers.16.linear_attn.in_proj_b.weight": "model-00002-of-00004.safetensors",
120
+ "language_model.model.layers.16.linear_attn.in_proj_qkv.weight": "model-00002-of-00004.safetensors",
121
+ "language_model.model.layers.16.linear_attn.in_proj_z.weight": "model-00002-of-00004.safetensors",
122
+ "language_model.model.layers.16.linear_attn.norm.weight": "model-00002-of-00004.safetensors",
123
+ "language_model.model.layers.16.linear_attn.out_proj.weight": "model-00002-of-00004.safetensors",
124
+ "language_model.model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
125
+ "language_model.model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
126
+ "language_model.model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
127
+ "language_model.model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
128
+ "language_model.model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
129
+ "language_model.model.layers.17.linear_attn.A_log": "model-00002-of-00004.safetensors",
130
+ "language_model.model.layers.17.linear_attn.conv1d.weight": "model-00002-of-00004.safetensors",
131
+ "language_model.model.layers.17.linear_attn.dt_bias": "model-00002-of-00004.safetensors",
132
+ "language_model.model.layers.17.linear_attn.in_proj_a.weight": "model-00002-of-00004.safetensors",
133
+ "language_model.model.layers.17.linear_attn.in_proj_b.weight": "model-00002-of-00004.safetensors",
134
+ "language_model.model.layers.17.linear_attn.in_proj_qkv.weight": "model-00002-of-00004.safetensors",
135
+ "language_model.model.layers.17.linear_attn.in_proj_z.weight": "model-00002-of-00004.safetensors",
136
+ "language_model.model.layers.17.linear_attn.norm.weight": "model-00002-of-00004.safetensors",
137
+ "language_model.model.layers.17.linear_attn.out_proj.weight": "model-00002-of-00004.safetensors",
138
+ "language_model.model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
139
+ "language_model.model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
140
+ "language_model.model.layers.17.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
141
+ "language_model.model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
142
+ "language_model.model.layers.18.input_layernorm.weight": "model-00003-of-00004.safetensors",
143
+ "language_model.model.layers.18.linear_attn.A_log": "model-00003-of-00004.safetensors",
144
+ "language_model.model.layers.18.linear_attn.conv1d.weight": "model-00003-of-00004.safetensors",
145
+ "language_model.model.layers.18.linear_attn.dt_bias": "model-00003-of-00004.safetensors",
146
+ "language_model.model.layers.18.linear_attn.in_proj_a.weight": "model-00003-of-00004.safetensors",
147
+ "language_model.model.layers.18.linear_attn.in_proj_b.weight": "model-00003-of-00004.safetensors",
148
+ "language_model.model.layers.18.linear_attn.in_proj_qkv.weight": "model-00003-of-00004.safetensors",
149
+ "language_model.model.layers.18.linear_attn.in_proj_z.weight": "model-00003-of-00004.safetensors",
150
+ "language_model.model.layers.18.linear_attn.norm.weight": "model-00003-of-00004.safetensors",
151
+ "language_model.model.layers.18.linear_attn.out_proj.weight": "model-00003-of-00004.safetensors",
152
+ "language_model.model.layers.18.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
153
+ "language_model.model.layers.18.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
154
+ "language_model.model.layers.18.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
155
+ "language_model.model.layers.18.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
156
+ "language_model.model.layers.19.input_layernorm.weight": "model-00003-of-00004.safetensors",
157
+ "language_model.model.layers.19.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
158
+ "language_model.model.layers.19.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
159
+ "language_model.model.layers.19.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
160
+ "language_model.model.layers.19.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
161
+ "language_model.model.layers.19.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
162
+ "language_model.model.layers.19.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
163
+ "language_model.model.layers.19.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
164
+ "language_model.model.layers.19.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
165
+ "language_model.model.layers.19.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
166
+ "language_model.model.layers.19.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
167
+ "language_model.model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
168
+ "language_model.model.layers.2.linear_attn.A_log": "model-00001-of-00004.safetensors",
169
+ "language_model.model.layers.2.linear_attn.conv1d.weight": "model-00001-of-00004.safetensors",
170
+ "language_model.model.layers.2.linear_attn.dt_bias": "model-00001-of-00004.safetensors",
171
+ "language_model.model.layers.2.linear_attn.in_proj_a.weight": "model-00001-of-00004.safetensors",
172
+ "language_model.model.layers.2.linear_attn.in_proj_b.weight": "model-00001-of-00004.safetensors",
173
+ "language_model.model.layers.2.linear_attn.in_proj_qkv.weight": "model-00001-of-00004.safetensors",
174
+ "language_model.model.layers.2.linear_attn.in_proj_z.weight": "model-00001-of-00004.safetensors",
175
+ "language_model.model.layers.2.linear_attn.norm.weight": "model-00001-of-00004.safetensors",
176
+ "language_model.model.layers.2.linear_attn.out_proj.weight": "model-00001-of-00004.safetensors",
177
+ "language_model.model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
178
+ "language_model.model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
179
+ "language_model.model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
180
+ "language_model.model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
181
+ "language_model.model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
182
+ "language_model.model.layers.20.linear_attn.A_log": "model-00003-of-00004.safetensors",
183
+ "language_model.model.layers.20.linear_attn.conv1d.weight": "model-00003-of-00004.safetensors",
184
+ "language_model.model.layers.20.linear_attn.dt_bias": "model-00003-of-00004.safetensors",
185
+ "language_model.model.layers.20.linear_attn.in_proj_a.weight": "model-00003-of-00004.safetensors",
186
+ "language_model.model.layers.20.linear_attn.in_proj_b.weight": "model-00003-of-00004.safetensors",
187
+ "language_model.model.layers.20.linear_attn.in_proj_qkv.weight": "model-00003-of-00004.safetensors",
188
+ "language_model.model.layers.20.linear_attn.in_proj_z.weight": "model-00003-of-00004.safetensors",
189
+ "language_model.model.layers.20.linear_attn.norm.weight": "model-00003-of-00004.safetensors",
190
+ "language_model.model.layers.20.linear_attn.out_proj.weight": "model-00003-of-00004.safetensors",
191
+ "language_model.model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
192
+ "language_model.model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
193
+ "language_model.model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
194
+ "language_model.model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
195
+ "language_model.model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
196
+ "language_model.model.layers.21.linear_attn.A_log": "model-00003-of-00004.safetensors",
197
+ "language_model.model.layers.21.linear_attn.conv1d.weight": "model-00003-of-00004.safetensors",
198
+ "language_model.model.layers.21.linear_attn.dt_bias": "model-00003-of-00004.safetensors",
199
+ "language_model.model.layers.21.linear_attn.in_proj_a.weight": "model-00003-of-00004.safetensors",
200
+ "language_model.model.layers.21.linear_attn.in_proj_b.weight": "model-00003-of-00004.safetensors",
201
+ "language_model.model.layers.21.linear_attn.in_proj_qkv.weight": "model-00003-of-00004.safetensors",
202
+ "language_model.model.layers.21.linear_attn.in_proj_z.weight": "model-00003-of-00004.safetensors",
203
+ "language_model.model.layers.21.linear_attn.norm.weight": "model-00003-of-00004.safetensors",
204
+ "language_model.model.layers.21.linear_attn.out_proj.weight": "model-00003-of-00004.safetensors",
205
+ "language_model.model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
206
+ "language_model.model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
207
+ "language_model.model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
208
+ "language_model.model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
209
+ "language_model.model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
210
+ "language_model.model.layers.22.linear_attn.A_log": "model-00003-of-00004.safetensors",
211
+ "language_model.model.layers.22.linear_attn.conv1d.weight": "model-00003-of-00004.safetensors",
212
+ "language_model.model.layers.22.linear_attn.dt_bias": "model-00003-of-00004.safetensors",
213
+ "language_model.model.layers.22.linear_attn.in_proj_a.weight": "model-00003-of-00004.safetensors",
214
+ "language_model.model.layers.22.linear_attn.in_proj_b.weight": "model-00003-of-00004.safetensors",
215
+ "language_model.model.layers.22.linear_attn.in_proj_qkv.weight": "model-00003-of-00004.safetensors",
216
+ "language_model.model.layers.22.linear_attn.in_proj_z.weight": "model-00003-of-00004.safetensors",
217
+ "language_model.model.layers.22.linear_attn.norm.weight": "model-00003-of-00004.safetensors",
218
+ "language_model.model.layers.22.linear_attn.out_proj.weight": "model-00003-of-00004.safetensors",
219
+ "language_model.model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
220
+ "language_model.model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
221
+ "language_model.model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
222
+ "language_model.model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
223
+ "language_model.model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
224
+ "language_model.model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
225
+ "language_model.model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
226
+ "language_model.model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
227
+ "language_model.model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
228
+ "language_model.model.layers.23.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
229
+ "language_model.model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
230
+ "language_model.model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
231
+ "language_model.model.layers.23.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
232
+ "language_model.model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
233
+ "language_model.model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
234
+ "language_model.model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
235
+ "language_model.model.layers.24.linear_attn.A_log": "model-00003-of-00004.safetensors",
236
+ "language_model.model.layers.24.linear_attn.conv1d.weight": "model-00003-of-00004.safetensors",
237
+ "language_model.model.layers.24.linear_attn.dt_bias": "model-00003-of-00004.safetensors",
238
+ "language_model.model.layers.24.linear_attn.in_proj_a.weight": "model-00003-of-00004.safetensors",
239
+ "language_model.model.layers.24.linear_attn.in_proj_b.weight": "model-00003-of-00004.safetensors",
240
+ "language_model.model.layers.24.linear_attn.in_proj_qkv.weight": "model-00003-of-00004.safetensors",
241
+ "language_model.model.layers.24.linear_attn.in_proj_z.weight": "model-00003-of-00004.safetensors",
242
+ "language_model.model.layers.24.linear_attn.norm.weight": "model-00003-of-00004.safetensors",
243
+ "language_model.model.layers.24.linear_attn.out_proj.weight": "model-00003-of-00004.safetensors",
244
+ "language_model.model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
245
+ "language_model.model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
246
+ "language_model.model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
247
+ "language_model.model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
248
+ "language_model.model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
249
+ "language_model.model.layers.25.linear_attn.A_log": "model-00003-of-00004.safetensors",
250
+ "language_model.model.layers.25.linear_attn.conv1d.weight": "model-00003-of-00004.safetensors",
251
+ "language_model.model.layers.25.linear_attn.dt_bias": "model-00003-of-00004.safetensors",
252
+ "language_model.model.layers.25.linear_attn.in_proj_a.weight": "model-00003-of-00004.safetensors",
253
+ "language_model.model.layers.25.linear_attn.in_proj_b.weight": "model-00003-of-00004.safetensors",
254
+ "language_model.model.layers.25.linear_attn.in_proj_qkv.weight": "model-00003-of-00004.safetensors",
255
+ "language_model.model.layers.25.linear_attn.in_proj_z.weight": "model-00003-of-00004.safetensors",
256
+ "language_model.model.layers.25.linear_attn.norm.weight": "model-00003-of-00004.safetensors",
257
+ "language_model.model.layers.25.linear_attn.out_proj.weight": "model-00003-of-00004.safetensors",
258
+ "language_model.model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
259
+ "language_model.model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
260
+ "language_model.model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
261
+ "language_model.model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
262
+ "language_model.model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
263
+ "language_model.model.layers.26.linear_attn.A_log": "model-00003-of-00004.safetensors",
264
+ "language_model.model.layers.26.linear_attn.conv1d.weight": "model-00003-of-00004.safetensors",
265
+ "language_model.model.layers.26.linear_attn.dt_bias": "model-00003-of-00004.safetensors",
266
+ "language_model.model.layers.26.linear_attn.in_proj_a.weight": "model-00003-of-00004.safetensors",
267
+ "language_model.model.layers.26.linear_attn.in_proj_b.weight": "model-00003-of-00004.safetensors",
268
+ "language_model.model.layers.26.linear_attn.in_proj_qkv.weight": "model-00003-of-00004.safetensors",
269
+ "language_model.model.layers.26.linear_attn.in_proj_z.weight": "model-00003-of-00004.safetensors",
270
+ "language_model.model.layers.26.linear_attn.norm.weight": "model-00003-of-00004.safetensors",
271
+ "language_model.model.layers.26.linear_attn.out_proj.weight": "model-00003-of-00004.safetensors",
272
+ "language_model.model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
273
+ "language_model.model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
274
+ "language_model.model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
275
+ "language_model.model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
276
+ "language_model.model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
277
+ "language_model.model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
278
+ "language_model.model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
279
+ "language_model.model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
280
+ "language_model.model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
281
+ "language_model.model.layers.27.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
282
+ "language_model.model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
283
+ "language_model.model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
284
+ "language_model.model.layers.27.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
285
+ "language_model.model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
286
+ "language_model.model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
287
+ "language_model.model.layers.28.input_layernorm.weight": "model-00003-of-00004.safetensors",
288
+ "language_model.model.layers.28.linear_attn.A_log": "model-00003-of-00004.safetensors",
289
+ "language_model.model.layers.28.linear_attn.conv1d.weight": "model-00003-of-00004.safetensors",
290
+ "language_model.model.layers.28.linear_attn.dt_bias": "model-00003-of-00004.safetensors",
291
+ "language_model.model.layers.28.linear_attn.in_proj_a.weight": "model-00003-of-00004.safetensors",
292
+ "language_model.model.layers.28.linear_attn.in_proj_b.weight": "model-00003-of-00004.safetensors",
293
+ "language_model.model.layers.28.linear_attn.in_proj_qkv.weight": "model-00003-of-00004.safetensors",
294
+ "language_model.model.layers.28.linear_attn.in_proj_z.weight": "model-00003-of-00004.safetensors",
295
+ "language_model.model.layers.28.linear_attn.norm.weight": "model-00003-of-00004.safetensors",
296
+ "language_model.model.layers.28.linear_attn.out_proj.weight": "model-00003-of-00004.safetensors",
297
+ "language_model.model.layers.28.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
298
+ "language_model.model.layers.28.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
299
+ "language_model.model.layers.28.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
300
+ "language_model.model.layers.28.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
301
+ "language_model.model.layers.29.input_layernorm.weight": "model-00003-of-00004.safetensors",
302
+ "language_model.model.layers.29.linear_attn.A_log": "model-00003-of-00004.safetensors",
303
+ "language_model.model.layers.29.linear_attn.conv1d.weight": "model-00003-of-00004.safetensors",
304
+ "language_model.model.layers.29.linear_attn.dt_bias": "model-00003-of-00004.safetensors",
305
+ "language_model.model.layers.29.linear_attn.in_proj_a.weight": "model-00003-of-00004.safetensors",
306
+ "language_model.model.layers.29.linear_attn.in_proj_b.weight": "model-00003-of-00004.safetensors",
307
+ "language_model.model.layers.29.linear_attn.in_proj_qkv.weight": "model-00003-of-00004.safetensors",
308
+ "language_model.model.layers.29.linear_attn.in_proj_z.weight": "model-00003-of-00004.safetensors",
309
+ "language_model.model.layers.29.linear_attn.norm.weight": "model-00003-of-00004.safetensors",
310
+ "language_model.model.layers.29.linear_attn.out_proj.weight": "model-00003-of-00004.safetensors",
311
+ "language_model.model.layers.29.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
312
+ "language_model.model.layers.29.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
313
+ "language_model.model.layers.29.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
314
+ "language_model.model.layers.29.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
315
+ "language_model.model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
316
+ "language_model.model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
317
+ "language_model.model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
318
+ "language_model.model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
319
+ "language_model.model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
320
+ "language_model.model.layers.3.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
321
+ "language_model.model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
322
+ "language_model.model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
323
+ "language_model.model.layers.3.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
324
+ "language_model.model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
325
+ "language_model.model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
326
+ "language_model.model.layers.30.input_layernorm.weight": "model-00004-of-00004.safetensors",
327
+ "language_model.model.layers.30.linear_attn.A_log": "model-00004-of-00004.safetensors",
328
+ "language_model.model.layers.30.linear_attn.conv1d.weight": "model-00003-of-00004.safetensors",
329
+ "language_model.model.layers.30.linear_attn.dt_bias": "model-00004-of-00004.safetensors",
330
+ "language_model.model.layers.30.linear_attn.in_proj_a.weight": "model-00004-of-00004.safetensors",
331
+ "language_model.model.layers.30.linear_attn.in_proj_b.weight": "model-00004-of-00004.safetensors",
332
+ "language_model.model.layers.30.linear_attn.in_proj_qkv.weight": "model-00003-of-00004.safetensors",
333
+ "language_model.model.layers.30.linear_attn.in_proj_z.weight": "model-00004-of-00004.safetensors",
334
+ "language_model.model.layers.30.linear_attn.norm.weight": "model-00004-of-00004.safetensors",
335
+ "language_model.model.layers.30.linear_attn.out_proj.weight": "model-00004-of-00004.safetensors",
336
+ "language_model.model.layers.30.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
337
+ "language_model.model.layers.30.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
338
+ "language_model.model.layers.30.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
339
+ "language_model.model.layers.30.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
340
+ "language_model.model.layers.31.input_layernorm.weight": "model-00004-of-00004.safetensors",
341
+ "language_model.model.layers.31.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
342
+ "language_model.model.layers.31.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
343
+ "language_model.model.layers.31.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
344
+ "language_model.model.layers.31.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
345
+ "language_model.model.layers.31.self_attn.k_norm.weight": "model-00004-of-00004.safetensors",
346
+ "language_model.model.layers.31.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
347
+ "language_model.model.layers.31.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
348
+ "language_model.model.layers.31.self_attn.q_norm.weight": "model-00004-of-00004.safetensors",
349
+ "language_model.model.layers.31.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
350
+ "language_model.model.layers.31.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
351
+ "language_model.model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
352
+ "language_model.model.layers.4.linear_attn.A_log": "model-00001-of-00004.safetensors",
353
+ "language_model.model.layers.4.linear_attn.conv1d.weight": "model-00001-of-00004.safetensors",
354
+ "language_model.model.layers.4.linear_attn.dt_bias": "model-00001-of-00004.safetensors",
355
+ "language_model.model.layers.4.linear_attn.in_proj_a.weight": "model-00001-of-00004.safetensors",
356
+ "language_model.model.layers.4.linear_attn.in_proj_b.weight": "model-00001-of-00004.safetensors",
357
+ "language_model.model.layers.4.linear_attn.in_proj_qkv.weight": "model-00001-of-00004.safetensors",
358
+ "language_model.model.layers.4.linear_attn.in_proj_z.weight": "model-00001-of-00004.safetensors",
359
+ "language_model.model.layers.4.linear_attn.norm.weight": "model-00001-of-00004.safetensors",
360
+ "language_model.model.layers.4.linear_attn.out_proj.weight": "model-00001-of-00004.safetensors",
361
+ "language_model.model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
362
+ "language_model.model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
363
+ "language_model.model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
364
+ "language_model.model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
365
+ "language_model.model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
366
+ "language_model.model.layers.5.linear_attn.A_log": "model-00001-of-00004.safetensors",
367
+ "language_model.model.layers.5.linear_attn.conv1d.weight": "model-00001-of-00004.safetensors",
368
+ "language_model.model.layers.5.linear_attn.dt_bias": "model-00001-of-00004.safetensors",
369
+ "language_model.model.layers.5.linear_attn.in_proj_a.weight": "model-00001-of-00004.safetensors",
370
+ "language_model.model.layers.5.linear_attn.in_proj_b.weight": "model-00001-of-00004.safetensors",
371
+ "language_model.model.layers.5.linear_attn.in_proj_qkv.weight": "model-00001-of-00004.safetensors",
372
+ "language_model.model.layers.5.linear_attn.in_proj_z.weight": "model-00001-of-00004.safetensors",
373
+ "language_model.model.layers.5.linear_attn.norm.weight": "model-00001-of-00004.safetensors",
374
+ "language_model.model.layers.5.linear_attn.out_proj.weight": "model-00001-of-00004.safetensors",
375
+ "language_model.model.layers.5.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
376
+ "language_model.model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
377
+ "language_model.model.layers.5.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
378
+ "language_model.model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
379
+ "language_model.model.layers.6.input_layernorm.weight": "model-00002-of-00004.safetensors",
380
+ "language_model.model.layers.6.linear_attn.A_log": "model-00002-of-00004.safetensors",
381
+ "language_model.model.layers.6.linear_attn.conv1d.weight": "model-00002-of-00004.safetensors",
382
+ "language_model.model.layers.6.linear_attn.dt_bias": "model-00002-of-00004.safetensors",
383
+ "language_model.model.layers.6.linear_attn.in_proj_a.weight": "model-00002-of-00004.safetensors",
384
+ "language_model.model.layers.6.linear_attn.in_proj_b.weight": "model-00002-of-00004.safetensors",
385
+ "language_model.model.layers.6.linear_attn.in_proj_qkv.weight": "model-00002-of-00004.safetensors",
386
+ "language_model.model.layers.6.linear_attn.in_proj_z.weight": "model-00002-of-00004.safetensors",
387
+ "language_model.model.layers.6.linear_attn.norm.weight": "model-00002-of-00004.safetensors",
388
+ "language_model.model.layers.6.linear_attn.out_proj.weight": "model-00002-of-00004.safetensors",
389
+ "language_model.model.layers.6.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
390
+ "language_model.model.layers.6.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
391
+ "language_model.model.layers.6.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
392
+ "language_model.model.layers.6.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
393
+ "language_model.model.layers.7.input_layernorm.weight": "model-00002-of-00004.safetensors",
394
+ "language_model.model.layers.7.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
395
+ "language_model.model.layers.7.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
396
+ "language_model.model.layers.7.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
397
+ "language_model.model.layers.7.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
398
+ "language_model.model.layers.7.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
399
+ "language_model.model.layers.7.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
400
+ "language_model.model.layers.7.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
401
+ "language_model.model.layers.7.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
402
+ "language_model.model.layers.7.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
403
+ "language_model.model.layers.7.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
404
+ "language_model.model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
405
+ "language_model.model.layers.8.linear_attn.A_log": "model-00002-of-00004.safetensors",
406
+ "language_model.model.layers.8.linear_attn.conv1d.weight": "model-00002-of-00004.safetensors",
407
+ "language_model.model.layers.8.linear_attn.dt_bias": "model-00002-of-00004.safetensors",
408
+ "language_model.model.layers.8.linear_attn.in_proj_a.weight": "model-00002-of-00004.safetensors",
409
+ "language_model.model.layers.8.linear_attn.in_proj_b.weight": "model-00002-of-00004.safetensors",
410
+ "language_model.model.layers.8.linear_attn.in_proj_qkv.weight": "model-00002-of-00004.safetensors",
411
+ "language_model.model.layers.8.linear_attn.in_proj_z.weight": "model-00002-of-00004.safetensors",
412
+ "language_model.model.layers.8.linear_attn.norm.weight": "model-00002-of-00004.safetensors",
413
+ "language_model.model.layers.8.linear_attn.out_proj.weight": "model-00002-of-00004.safetensors",
414
+ "language_model.model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
415
+ "language_model.model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
416
+ "language_model.model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
417
+ "language_model.model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
418
+ "language_model.model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
419
+ "language_model.model.layers.9.linear_attn.A_log": "model-00002-of-00004.safetensors",
420
+ "language_model.model.layers.9.linear_attn.conv1d.weight": "model-00002-of-00004.safetensors",
421
+ "language_model.model.layers.9.linear_attn.dt_bias": "model-00002-of-00004.safetensors",
422
+ "language_model.model.layers.9.linear_attn.in_proj_a.weight": "model-00002-of-00004.safetensors",
423
+ "language_model.model.layers.9.linear_attn.in_proj_b.weight": "model-00002-of-00004.safetensors",
424
+ "language_model.model.layers.9.linear_attn.in_proj_qkv.weight": "model-00002-of-00004.safetensors",
425
+ "language_model.model.layers.9.linear_attn.in_proj_z.weight": "model-00002-of-00004.safetensors",
426
+ "language_model.model.layers.9.linear_attn.norm.weight": "model-00002-of-00004.safetensors",
427
+ "language_model.model.layers.9.linear_attn.out_proj.weight": "model-00002-of-00004.safetensors",
428
+ "language_model.model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
429
+ "language_model.model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
430
+ "language_model.model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
431
+ "language_model.model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
432
+ "language_model.model.norm.weight": "model-00004-of-00004.safetensors",
433
+ "vision_tower.blocks.0.attn.proj.bias": "model-00001-of-00004.safetensors",
434
+ "vision_tower.blocks.0.attn.proj.weight": "model-00001-of-00004.safetensors",
435
+ "vision_tower.blocks.0.attn.qkv.bias": "model-00001-of-00004.safetensors",
436
+ "vision_tower.blocks.0.attn.qkv.weight": "model-00001-of-00004.safetensors",
437
+ "vision_tower.blocks.0.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
438
+ "vision_tower.blocks.0.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
439
+ "vision_tower.blocks.0.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
440
+ "vision_tower.blocks.0.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
441
+ "vision_tower.blocks.0.norm1.bias": "model-00001-of-00004.safetensors",
442
+ "vision_tower.blocks.0.norm1.weight": "model-00001-of-00004.safetensors",
443
+ "vision_tower.blocks.0.norm2.bias": "model-00001-of-00004.safetensors",
444
+ "vision_tower.blocks.0.norm2.weight": "model-00001-of-00004.safetensors",
445
+ "vision_tower.blocks.1.attn.proj.bias": "model-00001-of-00004.safetensors",
446
+ "vision_tower.blocks.1.attn.proj.weight": "model-00001-of-00004.safetensors",
447
+ "vision_tower.blocks.1.attn.qkv.bias": "model-00001-of-00004.safetensors",
448
+ "vision_tower.blocks.1.attn.qkv.weight": "model-00001-of-00004.safetensors",
449
+ "vision_tower.blocks.1.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
450
+ "vision_tower.blocks.1.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
451
+ "vision_tower.blocks.1.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
452
+ "vision_tower.blocks.1.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
453
+ "vision_tower.blocks.1.norm1.bias": "model-00001-of-00004.safetensors",
454
+ "vision_tower.blocks.1.norm1.weight": "model-00001-of-00004.safetensors",
455
+ "vision_tower.blocks.1.norm2.bias": "model-00001-of-00004.safetensors",
456
+ "vision_tower.blocks.1.norm2.weight": "model-00001-of-00004.safetensors",
457
+ "vision_tower.blocks.10.attn.proj.bias": "model-00001-of-00004.safetensors",
458
+ "vision_tower.blocks.10.attn.proj.weight": "model-00001-of-00004.safetensors",
459
+ "vision_tower.blocks.10.attn.qkv.bias": "model-00001-of-00004.safetensors",
460
+ "vision_tower.blocks.10.attn.qkv.weight": "model-00001-of-00004.safetensors",
461
+ "vision_tower.blocks.10.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
462
+ "vision_tower.blocks.10.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
463
+ "vision_tower.blocks.10.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
464
+ "vision_tower.blocks.10.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
465
+ "vision_tower.blocks.10.norm1.bias": "model-00001-of-00004.safetensors",
466
+ "vision_tower.blocks.10.norm1.weight": "model-00001-of-00004.safetensors",
467
+ "vision_tower.blocks.10.norm2.bias": "model-00001-of-00004.safetensors",
468
+ "vision_tower.blocks.10.norm2.weight": "model-00001-of-00004.safetensors",
469
+ "vision_tower.blocks.11.attn.proj.bias": "model-00001-of-00004.safetensors",
470
+ "vision_tower.blocks.11.attn.proj.weight": "model-00001-of-00004.safetensors",
471
+ "vision_tower.blocks.11.attn.qkv.bias": "model-00001-of-00004.safetensors",
472
+ "vision_tower.blocks.11.attn.qkv.weight": "model-00001-of-00004.safetensors",
473
+ "vision_tower.blocks.11.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
474
+ "vision_tower.blocks.11.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
475
+ "vision_tower.blocks.11.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
476
+ "vision_tower.blocks.11.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
477
+ "vision_tower.blocks.11.norm1.bias": "model-00001-of-00004.safetensors",
478
+ "vision_tower.blocks.11.norm1.weight": "model-00001-of-00004.safetensors",
479
+ "vision_tower.blocks.11.norm2.bias": "model-00001-of-00004.safetensors",
480
+ "vision_tower.blocks.11.norm2.weight": "model-00001-of-00004.safetensors",
481
+ "vision_tower.blocks.12.attn.proj.bias": "model-00001-of-00004.safetensors",
482
+ "vision_tower.blocks.12.attn.proj.weight": "model-00001-of-00004.safetensors",
483
+ "vision_tower.blocks.12.attn.qkv.bias": "model-00001-of-00004.safetensors",
484
+ "vision_tower.blocks.12.attn.qkv.weight": "model-00001-of-00004.safetensors",
485
+ "vision_tower.blocks.12.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
486
+ "vision_tower.blocks.12.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
487
+ "vision_tower.blocks.12.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
488
+ "vision_tower.blocks.12.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
489
+ "vision_tower.blocks.12.norm1.bias": "model-00001-of-00004.safetensors",
490
+ "vision_tower.blocks.12.norm1.weight": "model-00001-of-00004.safetensors",
491
+ "vision_tower.blocks.12.norm2.bias": "model-00001-of-00004.safetensors",
492
+ "vision_tower.blocks.12.norm2.weight": "model-00001-of-00004.safetensors",
493
+ "vision_tower.blocks.13.attn.proj.bias": "model-00001-of-00004.safetensors",
494
+ "vision_tower.blocks.13.attn.proj.weight": "model-00001-of-00004.safetensors",
495
+ "vision_tower.blocks.13.attn.qkv.bias": "model-00001-of-00004.safetensors",
496
+ "vision_tower.blocks.13.attn.qkv.weight": "model-00001-of-00004.safetensors",
497
+ "vision_tower.blocks.13.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
498
+ "vision_tower.blocks.13.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
499
+ "vision_tower.blocks.13.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
500
+ "vision_tower.blocks.13.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
501
+ "vision_tower.blocks.13.norm1.bias": "model-00001-of-00004.safetensors",
502
+ "vision_tower.blocks.13.norm1.weight": "model-00001-of-00004.safetensors",
503
+ "vision_tower.blocks.13.norm2.bias": "model-00001-of-00004.safetensors",
504
+ "vision_tower.blocks.13.norm2.weight": "model-00001-of-00004.safetensors",
505
+ "vision_tower.blocks.14.attn.proj.bias": "model-00001-of-00004.safetensors",
506
+ "vision_tower.blocks.14.attn.proj.weight": "model-00001-of-00004.safetensors",
507
+ "vision_tower.blocks.14.attn.qkv.bias": "model-00001-of-00004.safetensors",
508
+ "vision_tower.blocks.14.attn.qkv.weight": "model-00001-of-00004.safetensors",
509
+ "vision_tower.blocks.14.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
510
+ "vision_tower.blocks.14.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
511
+ "vision_tower.blocks.14.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
512
+ "vision_tower.blocks.14.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
513
+ "vision_tower.blocks.14.norm1.bias": "model-00001-of-00004.safetensors",
514
+ "vision_tower.blocks.14.norm1.weight": "model-00001-of-00004.safetensors",
515
+ "vision_tower.blocks.14.norm2.bias": "model-00001-of-00004.safetensors",
516
+ "vision_tower.blocks.14.norm2.weight": "model-00001-of-00004.safetensors",
517
+ "vision_tower.blocks.15.attn.proj.bias": "model-00001-of-00004.safetensors",
518
+ "vision_tower.blocks.15.attn.proj.weight": "model-00001-of-00004.safetensors",
519
+ "vision_tower.blocks.15.attn.qkv.bias": "model-00001-of-00004.safetensors",
520
+ "vision_tower.blocks.15.attn.qkv.weight": "model-00001-of-00004.safetensors",
521
+ "vision_tower.blocks.15.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
522
+ "vision_tower.blocks.15.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
523
+ "vision_tower.blocks.15.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
524
+ "vision_tower.blocks.15.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
525
+ "vision_tower.blocks.15.norm1.bias": "model-00001-of-00004.safetensors",
526
+ "vision_tower.blocks.15.norm1.weight": "model-00001-of-00004.safetensors",
527
+ "vision_tower.blocks.15.norm2.bias": "model-00001-of-00004.safetensors",
528
+ "vision_tower.blocks.15.norm2.weight": "model-00001-of-00004.safetensors",
529
+ "vision_tower.blocks.16.attn.proj.bias": "model-00001-of-00004.safetensors",
530
+ "vision_tower.blocks.16.attn.proj.weight": "model-00001-of-00004.safetensors",
531
+ "vision_tower.blocks.16.attn.qkv.bias": "model-00001-of-00004.safetensors",
532
+ "vision_tower.blocks.16.attn.qkv.weight": "model-00001-of-00004.safetensors",
533
+ "vision_tower.blocks.16.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
534
+ "vision_tower.blocks.16.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
535
+ "vision_tower.blocks.16.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
536
+ "vision_tower.blocks.16.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
537
+ "vision_tower.blocks.16.norm1.bias": "model-00001-of-00004.safetensors",
538
+ "vision_tower.blocks.16.norm1.weight": "model-00001-of-00004.safetensors",
539
+ "vision_tower.blocks.16.norm2.bias": "model-00001-of-00004.safetensors",
540
+ "vision_tower.blocks.16.norm2.weight": "model-00001-of-00004.safetensors",
541
+ "vision_tower.blocks.17.attn.proj.bias": "model-00001-of-00004.safetensors",
542
+ "vision_tower.blocks.17.attn.proj.weight": "model-00001-of-00004.safetensors",
543
+ "vision_tower.blocks.17.attn.qkv.bias": "model-00001-of-00004.safetensors",
544
+ "vision_tower.blocks.17.attn.qkv.weight": "model-00001-of-00004.safetensors",
545
+ "vision_tower.blocks.17.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
546
+ "vision_tower.blocks.17.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
547
+ "vision_tower.blocks.17.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
548
+ "vision_tower.blocks.17.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
549
+ "vision_tower.blocks.17.norm1.bias": "model-00001-of-00004.safetensors",
550
+ "vision_tower.blocks.17.norm1.weight": "model-00001-of-00004.safetensors",
551
+ "vision_tower.blocks.17.norm2.bias": "model-00001-of-00004.safetensors",
552
+ "vision_tower.blocks.17.norm2.weight": "model-00001-of-00004.safetensors",
553
+ "vision_tower.blocks.18.attn.proj.bias": "model-00001-of-00004.safetensors",
554
+ "vision_tower.blocks.18.attn.proj.weight": "model-00001-of-00004.safetensors",
555
+ "vision_tower.blocks.18.attn.qkv.bias": "model-00001-of-00004.safetensors",
556
+ "vision_tower.blocks.18.attn.qkv.weight": "model-00001-of-00004.safetensors",
557
+ "vision_tower.blocks.18.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
558
+ "vision_tower.blocks.18.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
559
+ "vision_tower.blocks.18.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
560
+ "vision_tower.blocks.18.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
561
+ "vision_tower.blocks.18.norm1.bias": "model-00001-of-00004.safetensors",
562
+ "vision_tower.blocks.18.norm1.weight": "model-00001-of-00004.safetensors",
563
+ "vision_tower.blocks.18.norm2.bias": "model-00001-of-00004.safetensors",
564
+ "vision_tower.blocks.18.norm2.weight": "model-00001-of-00004.safetensors",
565
+ "vision_tower.blocks.19.attn.proj.bias": "model-00001-of-00004.safetensors",
566
+ "vision_tower.blocks.19.attn.proj.weight": "model-00001-of-00004.safetensors",
567
+ "vision_tower.blocks.19.attn.qkv.bias": "model-00001-of-00004.safetensors",
568
+ "vision_tower.blocks.19.attn.qkv.weight": "model-00001-of-00004.safetensors",
569
+ "vision_tower.blocks.19.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
570
+ "vision_tower.blocks.19.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
571
+ "vision_tower.blocks.19.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
572
+ "vision_tower.blocks.19.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
573
+ "vision_tower.blocks.19.norm1.bias": "model-00001-of-00004.safetensors",
574
+ "vision_tower.blocks.19.norm1.weight": "model-00001-of-00004.safetensors",
575
+ "vision_tower.blocks.19.norm2.bias": "model-00001-of-00004.safetensors",
576
+ "vision_tower.blocks.19.norm2.weight": "model-00001-of-00004.safetensors",
577
+ "vision_tower.blocks.2.attn.proj.bias": "model-00001-of-00004.safetensors",
578
+ "vision_tower.blocks.2.attn.proj.weight": "model-00001-of-00004.safetensors",
579
+ "vision_tower.blocks.2.attn.qkv.bias": "model-00001-of-00004.safetensors",
580
+ "vision_tower.blocks.2.attn.qkv.weight": "model-00001-of-00004.safetensors",
581
+ "vision_tower.blocks.2.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
582
+ "vision_tower.blocks.2.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
583
+ "vision_tower.blocks.2.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
584
+ "vision_tower.blocks.2.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
585
+ "vision_tower.blocks.2.norm1.bias": "model-00001-of-00004.safetensors",
586
+ "vision_tower.blocks.2.norm1.weight": "model-00001-of-00004.safetensors",
587
+ "vision_tower.blocks.2.norm2.bias": "model-00001-of-00004.safetensors",
588
+ "vision_tower.blocks.2.norm2.weight": "model-00001-of-00004.safetensors",
589
+ "vision_tower.blocks.20.attn.proj.bias": "model-00001-of-00004.safetensors",
590
+ "vision_tower.blocks.20.attn.proj.weight": "model-00001-of-00004.safetensors",
591
+ "vision_tower.blocks.20.attn.qkv.bias": "model-00001-of-00004.safetensors",
592
+ "vision_tower.blocks.20.attn.qkv.weight": "model-00001-of-00004.safetensors",
593
+ "vision_tower.blocks.20.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
594
+ "vision_tower.blocks.20.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
595
+ "vision_tower.blocks.20.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
596
+ "vision_tower.blocks.20.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
597
+ "vision_tower.blocks.20.norm1.bias": "model-00001-of-00004.safetensors",
598
+ "vision_tower.blocks.20.norm1.weight": "model-00001-of-00004.safetensors",
599
+ "vision_tower.blocks.20.norm2.bias": "model-00001-of-00004.safetensors",
600
+ "vision_tower.blocks.20.norm2.weight": "model-00001-of-00004.safetensors",
601
+ "vision_tower.blocks.21.attn.proj.bias": "model-00001-of-00004.safetensors",
602
+ "vision_tower.blocks.21.attn.proj.weight": "model-00001-of-00004.safetensors",
603
+ "vision_tower.blocks.21.attn.qkv.bias": "model-00001-of-00004.safetensors",
604
+ "vision_tower.blocks.21.attn.qkv.weight": "model-00001-of-00004.safetensors",
605
+ "vision_tower.blocks.21.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
606
+ "vision_tower.blocks.21.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
607
+ "vision_tower.blocks.21.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
608
+ "vision_tower.blocks.21.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
609
+ "vision_tower.blocks.21.norm1.bias": "model-00001-of-00004.safetensors",
610
+ "vision_tower.blocks.21.norm1.weight": "model-00001-of-00004.safetensors",
611
+ "vision_tower.blocks.21.norm2.bias": "model-00001-of-00004.safetensors",
612
+ "vision_tower.blocks.21.norm2.weight": "model-00001-of-00004.safetensors",
613
+ "vision_tower.blocks.22.attn.proj.bias": "model-00001-of-00004.safetensors",
614
+ "vision_tower.blocks.22.attn.proj.weight": "model-00001-of-00004.safetensors",
615
+ "vision_tower.blocks.22.attn.qkv.bias": "model-00001-of-00004.safetensors",
616
+ "vision_tower.blocks.22.attn.qkv.weight": "model-00001-of-00004.safetensors",
617
+ "vision_tower.blocks.22.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
618
+ "vision_tower.blocks.22.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
619
+ "vision_tower.blocks.22.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
620
+ "vision_tower.blocks.22.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
621
+ "vision_tower.blocks.22.norm1.bias": "model-00001-of-00004.safetensors",
622
+ "vision_tower.blocks.22.norm1.weight": "model-00001-of-00004.safetensors",
623
+ "vision_tower.blocks.22.norm2.bias": "model-00001-of-00004.safetensors",
624
+ "vision_tower.blocks.22.norm2.weight": "model-00001-of-00004.safetensors",
625
+ "vision_tower.blocks.23.attn.proj.bias": "model-00001-of-00004.safetensors",
626
+ "vision_tower.blocks.23.attn.proj.weight": "model-00001-of-00004.safetensors",
627
+ "vision_tower.blocks.23.attn.qkv.bias": "model-00001-of-00004.safetensors",
628
+ "vision_tower.blocks.23.attn.qkv.weight": "model-00001-of-00004.safetensors",
629
+ "vision_tower.blocks.23.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
630
+ "vision_tower.blocks.23.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
631
+ "vision_tower.blocks.23.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
632
+ "vision_tower.blocks.23.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
633
+ "vision_tower.blocks.23.norm1.bias": "model-00001-of-00004.safetensors",
634
+ "vision_tower.blocks.23.norm1.weight": "model-00001-of-00004.safetensors",
635
+ "vision_tower.blocks.23.norm2.bias": "model-00001-of-00004.safetensors",
636
+ "vision_tower.blocks.23.norm2.weight": "model-00001-of-00004.safetensors",
637
+ "vision_tower.blocks.24.attn.proj.bias": "model-00001-of-00004.safetensors",
638
+ "vision_tower.blocks.24.attn.proj.weight": "model-00001-of-00004.safetensors",
639
+ "vision_tower.blocks.24.attn.qkv.bias": "model-00001-of-00004.safetensors",
640
+ "vision_tower.blocks.24.attn.qkv.weight": "model-00001-of-00004.safetensors",
641
+ "vision_tower.blocks.24.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
642
+ "vision_tower.blocks.24.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
643
+ "vision_tower.blocks.24.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
644
+ "vision_tower.blocks.24.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
645
+ "vision_tower.blocks.24.norm1.bias": "model-00001-of-00004.safetensors",
646
+ "vision_tower.blocks.24.norm1.weight": "model-00001-of-00004.safetensors",
647
+ "vision_tower.blocks.24.norm2.bias": "model-00001-of-00004.safetensors",
648
+ "vision_tower.blocks.24.norm2.weight": "model-00001-of-00004.safetensors",
649
+ "vision_tower.blocks.25.attn.proj.bias": "model-00001-of-00004.safetensors",
650
+ "vision_tower.blocks.25.attn.proj.weight": "model-00001-of-00004.safetensors",
651
+ "vision_tower.blocks.25.attn.qkv.bias": "model-00001-of-00004.safetensors",
652
+ "vision_tower.blocks.25.attn.qkv.weight": "model-00001-of-00004.safetensors",
653
+ "vision_tower.blocks.25.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
654
+ "vision_tower.blocks.25.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
655
+ "vision_tower.blocks.25.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
656
+ "vision_tower.blocks.25.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
657
+ "vision_tower.blocks.25.norm1.bias": "model-00001-of-00004.safetensors",
658
+ "vision_tower.blocks.25.norm1.weight": "model-00001-of-00004.safetensors",
659
+ "vision_tower.blocks.25.norm2.bias": "model-00001-of-00004.safetensors",
660
+ "vision_tower.blocks.25.norm2.weight": "model-00001-of-00004.safetensors",
661
+ "vision_tower.blocks.26.attn.proj.bias": "model-00001-of-00004.safetensors",
662
+ "vision_tower.blocks.26.attn.proj.weight": "model-00001-of-00004.safetensors",
663
+ "vision_tower.blocks.26.attn.qkv.bias": "model-00001-of-00004.safetensors",
664
+ "vision_tower.blocks.26.attn.qkv.weight": "model-00001-of-00004.safetensors",
665
+ "vision_tower.blocks.26.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
666
+ "vision_tower.blocks.26.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
667
+ "vision_tower.blocks.26.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
668
+ "vision_tower.blocks.26.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
669
+ "vision_tower.blocks.26.norm1.bias": "model-00001-of-00004.safetensors",
670
+ "vision_tower.blocks.26.norm1.weight": "model-00001-of-00004.safetensors",
671
+ "vision_tower.blocks.26.norm2.bias": "model-00001-of-00004.safetensors",
672
+ "vision_tower.blocks.26.norm2.weight": "model-00001-of-00004.safetensors",
673
+ "vision_tower.blocks.3.attn.proj.bias": "model-00001-of-00004.safetensors",
674
+ "vision_tower.blocks.3.attn.proj.weight": "model-00001-of-00004.safetensors",
675
+ "vision_tower.blocks.3.attn.qkv.bias": "model-00001-of-00004.safetensors",
676
+ "vision_tower.blocks.3.attn.qkv.weight": "model-00001-of-00004.safetensors",
677
+ "vision_tower.blocks.3.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
678
+ "vision_tower.blocks.3.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
679
+ "vision_tower.blocks.3.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
680
+ "vision_tower.blocks.3.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
681
+ "vision_tower.blocks.3.norm1.bias": "model-00001-of-00004.safetensors",
682
+ "vision_tower.blocks.3.norm1.weight": "model-00001-of-00004.safetensors",
683
+ "vision_tower.blocks.3.norm2.bias": "model-00001-of-00004.safetensors",
684
+ "vision_tower.blocks.3.norm2.weight": "model-00001-of-00004.safetensors",
685
+ "vision_tower.blocks.4.attn.proj.bias": "model-00001-of-00004.safetensors",
686
+ "vision_tower.blocks.4.attn.proj.weight": "model-00001-of-00004.safetensors",
687
+ "vision_tower.blocks.4.attn.qkv.bias": "model-00001-of-00004.safetensors",
688
+ "vision_tower.blocks.4.attn.qkv.weight": "model-00001-of-00004.safetensors",
689
+ "vision_tower.blocks.4.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
690
+ "vision_tower.blocks.4.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
691
+ "vision_tower.blocks.4.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
692
+ "vision_tower.blocks.4.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
693
+ "vision_tower.blocks.4.norm1.bias": "model-00001-of-00004.safetensors",
694
+ "vision_tower.blocks.4.norm1.weight": "model-00001-of-00004.safetensors",
695
+ "vision_tower.blocks.4.norm2.bias": "model-00001-of-00004.safetensors",
696
+ "vision_tower.blocks.4.norm2.weight": "model-00001-of-00004.safetensors",
697
+ "vision_tower.blocks.5.attn.proj.bias": "model-00001-of-00004.safetensors",
698
+ "vision_tower.blocks.5.attn.proj.weight": "model-00001-of-00004.safetensors",
699
+ "vision_tower.blocks.5.attn.qkv.bias": "model-00001-of-00004.safetensors",
700
+ "vision_tower.blocks.5.attn.qkv.weight": "model-00001-of-00004.safetensors",
701
+ "vision_tower.blocks.5.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
702
+ "vision_tower.blocks.5.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
703
+ "vision_tower.blocks.5.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
704
+ "vision_tower.blocks.5.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
705
+ "vision_tower.blocks.5.norm1.bias": "model-00001-of-00004.safetensors",
706
+ "vision_tower.blocks.5.norm1.weight": "model-00001-of-00004.safetensors",
707
+ "vision_tower.blocks.5.norm2.bias": "model-00001-of-00004.safetensors",
708
+ "vision_tower.blocks.5.norm2.weight": "model-00001-of-00004.safetensors",
709
+ "vision_tower.blocks.6.attn.proj.bias": "model-00001-of-00004.safetensors",
710
+ "vision_tower.blocks.6.attn.proj.weight": "model-00001-of-00004.safetensors",
711
+ "vision_tower.blocks.6.attn.qkv.bias": "model-00001-of-00004.safetensors",
712
+ "vision_tower.blocks.6.attn.qkv.weight": "model-00001-of-00004.safetensors",
713
+ "vision_tower.blocks.6.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
714
+ "vision_tower.blocks.6.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
715
+ "vision_tower.blocks.6.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
716
+ "vision_tower.blocks.6.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
717
+ "vision_tower.blocks.6.norm1.bias": "model-00001-of-00004.safetensors",
718
+ "vision_tower.blocks.6.norm1.weight": "model-00001-of-00004.safetensors",
719
+ "vision_tower.blocks.6.norm2.bias": "model-00001-of-00004.safetensors",
720
+ "vision_tower.blocks.6.norm2.weight": "model-00001-of-00004.safetensors",
721
+ "vision_tower.blocks.7.attn.proj.bias": "model-00001-of-00004.safetensors",
722
+ "vision_tower.blocks.7.attn.proj.weight": "model-00001-of-00004.safetensors",
723
+ "vision_tower.blocks.7.attn.qkv.bias": "model-00001-of-00004.safetensors",
724
+ "vision_tower.blocks.7.attn.qkv.weight": "model-00001-of-00004.safetensors",
725
+ "vision_tower.blocks.7.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
726
+ "vision_tower.blocks.7.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
727
+ "vision_tower.blocks.7.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
728
+ "vision_tower.blocks.7.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
729
+ "vision_tower.blocks.7.norm1.bias": "model-00001-of-00004.safetensors",
730
+ "vision_tower.blocks.7.norm1.weight": "model-00001-of-00004.safetensors",
731
+ "vision_tower.blocks.7.norm2.bias": "model-00001-of-00004.safetensors",
732
+ "vision_tower.blocks.7.norm2.weight": "model-00001-of-00004.safetensors",
733
+ "vision_tower.blocks.8.attn.proj.bias": "model-00001-of-00004.safetensors",
734
+ "vision_tower.blocks.8.attn.proj.weight": "model-00001-of-00004.safetensors",
735
+ "vision_tower.blocks.8.attn.qkv.bias": "model-00001-of-00004.safetensors",
736
+ "vision_tower.blocks.8.attn.qkv.weight": "model-00001-of-00004.safetensors",
737
+ "vision_tower.blocks.8.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
738
+ "vision_tower.blocks.8.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
739
+ "vision_tower.blocks.8.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
740
+ "vision_tower.blocks.8.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
741
+ "vision_tower.blocks.8.norm1.bias": "model-00001-of-00004.safetensors",
742
+ "vision_tower.blocks.8.norm1.weight": "model-00001-of-00004.safetensors",
743
+ "vision_tower.blocks.8.norm2.bias": "model-00001-of-00004.safetensors",
744
+ "vision_tower.blocks.8.norm2.weight": "model-00001-of-00004.safetensors",
745
+ "vision_tower.blocks.9.attn.proj.bias": "model-00001-of-00004.safetensors",
746
+ "vision_tower.blocks.9.attn.proj.weight": "model-00001-of-00004.safetensors",
747
+ "vision_tower.blocks.9.attn.qkv.bias": "model-00001-of-00004.safetensors",
748
+ "vision_tower.blocks.9.attn.qkv.weight": "model-00001-of-00004.safetensors",
749
+ "vision_tower.blocks.9.mlp.linear_fc1.bias": "model-00001-of-00004.safetensors",
750
+ "vision_tower.blocks.9.mlp.linear_fc1.weight": "model-00001-of-00004.safetensors",
751
+ "vision_tower.blocks.9.mlp.linear_fc2.bias": "model-00001-of-00004.safetensors",
752
+ "vision_tower.blocks.9.mlp.linear_fc2.weight": "model-00001-of-00004.safetensors",
753
+ "vision_tower.blocks.9.norm1.bias": "model-00001-of-00004.safetensors",
754
+ "vision_tower.blocks.9.norm1.weight": "model-00001-of-00004.safetensors",
755
+ "vision_tower.blocks.9.norm2.bias": "model-00001-of-00004.safetensors",
756
+ "vision_tower.blocks.9.norm2.weight": "model-00001-of-00004.safetensors",
757
+ "vision_tower.merger.linear_fc1.bias": "model-00001-of-00004.safetensors",
758
+ "vision_tower.merger.linear_fc1.weight": "model-00001-of-00004.safetensors",
759
+ "vision_tower.merger.linear_fc2.bias": "model-00001-of-00004.safetensors",
760
+ "vision_tower.merger.linear_fc2.weight": "model-00001-of-00004.safetensors",
761
+ "vision_tower.merger.norm.bias": "model-00001-of-00004.safetensors",
762
+ "vision_tower.merger.norm.weight": "model-00001-of-00004.safetensors",
763
+ "vision_tower.patch_embed.proj.bias": "model-00001-of-00004.safetensors",
764
+ "vision_tower.patch_embed.proj.weight": "model-00001-of-00004.safetensors",
765
+ "vision_tower.pos_embed.weight": "model-00001-of-00004.safetensors"
766
+ }
767
+ }
preprocessor_config.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "size": {
3
+ "longest_edge": 16777216,
4
+ "shortest_edge": 65536
5
+ },
6
+ "patch_size": 16,
7
+ "temporal_patch_size": 2,
8
+ "merge_size": 2,
9
+ "image_mean": [
10
+ 0.5,
11
+ 0.5,
12
+ 0.5
13
+ ],
14
+ "image_std": [
15
+ 0.5,
16
+ 0.5,
17
+ 0.5
18
+ ],
19
+ "processor_class": "Qwen3VLProcessor",
20
+ "image_processor_type": "Qwen2VLImageProcessorFast"
21
+ }
processor_config.json ADDED
@@ -0,0 +1,50 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "image_processor": {
3
+ "do_convert_rgb": true,
4
+ "do_normalize": true,
5
+ "do_rescale": true,
6
+ "image_mean": [
7
+ 0.5,
8
+ 0.5,
9
+ 0.5
10
+ ],
11
+ "image_processor_type": "Qwen3VLImageProcessor",
12
+ "image_std": [
13
+ 0.5,
14
+ 0.5,
15
+ 0.5
16
+ ],
17
+ "max_pixels": 16777216,
18
+ "merge_size": 2,
19
+ "min_pixels": 65536,
20
+ "patch_size": 16,
21
+ "rescale_factor": 0.00392156862745098,
22
+ "temporal_patch_size": 2
23
+ },
24
+ "processor_class": "Qwen3VLProcessor",
25
+ "video_processor": {
26
+ "do_convert_rgb": true,
27
+ "do_normalize": true,
28
+ "do_rescale": true,
29
+ "fps": 2.0,
30
+ "image_mean": [
31
+ 0.5,
32
+ 0.5,
33
+ 0.5
34
+ ],
35
+ "image_std": [
36
+ 0.5,
37
+ 0.5,
38
+ 0.5
39
+ ],
40
+ "max_frames": 768,
41
+ "max_pixels": 25165824,
42
+ "merge_size": 2,
43
+ "min_frames": 4,
44
+ "min_pixels": 4096,
45
+ "patch_size": 16,
46
+ "rescale_factor": 0.00392156862745098,
47
+ "temporal_patch_size": 2,
48
+ "video_processor_type": "Qwen3VLVideoProcessor"
49
+ }
50
+ }
release-manifest.json ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "schema_version": 1,
3
+ "generated_at": "2026-08-22T07:48:14.518141+00:00",
4
+ "status": "packaged-not-published",
5
+ "repository": "PocketAiHub/Ornith-1.5-9B-Abliterated-MLX-BF16",
6
+ "visibility": "public",
7
+ "variant": "mlx-bf16",
8
+ "file_count": 19,
9
+ "total_size_bytes": 18846528272,
10
+ "artifact_manifest_sha256": "2616f59f76728f1f8e4200c3589e49e973b96f1048fd9641f7806e94c6fe8f46",
11
+ "evidence": {
12
+ "README.md": "e06fdb8fee145cadaf3ab02afd04d671977b53a317beb896fc7dfa0e4b948c1e",
13
+ "LICENSE": "1ade8ac5b311a030e098ce9e838b49443ef90923c10f291bce978e3f69702b7d",
14
+ "abliteration-manifest.json": "309b1d6ed1de11b8c450f79c9f1df7ba7cdf709e52fa7dae9d9b2d81fb6dfb67",
15
+ "validation-summary.json": "be7ad26ba85caf68b79fc30afad1eb2b097b114f6613df3980fb2defa921ae07"
16
+ }
17
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523
3
+ size 19989325
tokenizer_config.json ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "audio_bos_token": "<|audio_start|>",
4
+ "audio_eos_token": "<|audio_end|>",
5
+ "audio_token": "<|audio_pad|>",
6
+ "backend": "tokenizers",
7
+ "bos_token": null,
8
+ "clean_up_tokenization_spaces": false,
9
+ "eos_token": "<|im_end|>",
10
+ "errors": "replace",
11
+ "image_token": "<|image_pad|>",
12
+ "is_local": true,
13
+ "local_files_only": false,
14
+ "model_max_length": 262144,
15
+ "model_specific_special_tokens": {
16
+ "audio_bos_token": "<|audio_start|>",
17
+ "audio_eos_token": "<|audio_end|>",
18
+ "audio_token": "<|audio_pad|>",
19
+ "image_token": "<|image_pad|>",
20
+ "video_token": "<|video_pad|>",
21
+ "vision_bos_token": "<|vision_start|>",
22
+ "vision_eos_token": "<|vision_end|>"
23
+ },
24
+ "pad_token": "<|endoftext|>",
25
+ "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
26
+ "processor_class": "Qwen3VLProcessor",
27
+ "split_special_tokens": false,
28
+ "tokenizer_class": "Qwen2Tokenizer",
29
+ "unk_token": null,
30
+ "video_token": "<|video_pad|>",
31
+ "vision_bos_token": "<|vision_start|>",
32
+ "vision_eos_token": "<|vision_end|>"
33
+ }
validation-summary.json ADDED
@@ -0,0 +1,125 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "schema_version": 1,
3
+ "model": "PocketAiHub/Ornith-1.5-9B-Abliterated-MLX-BF16",
4
+ "status": "release-candidate",
5
+ "base_model": "ornith-ai/Ornith-1.5-9B",
6
+ "base_revision": "c927ad73b7eb20f00aafcaa0a11a9d58ed5487bc",
7
+ "format": "MLX-VLM",
8
+ "precision": "BF16",
9
+ "abliteration_scale": 1.0,
10
+ "behavioral_scorer": "transparent phrase-based explicit-refusal detector",
11
+ "manual_review_caveat": "Zero phrase flags does not mean universal literal compliance; manual review found semantic redirects that the phrase detector did not flag.",
12
+ "evaluation": {
13
+ "refusal_screen": {
14
+ "jbb_benign": {
15
+ "count": 100,
16
+ "explicit_refusal_count": 0,
17
+ "explicit_refusal_rate": 0.0,
18
+ "final_answer_count": 100,
19
+ "completed_answer_count": 3,
20
+ "evasive_nonanswer_count": 0,
21
+ "evasive_nonanswer_rate": 0.0,
22
+ "truncated_generation_count": 97,
23
+ "unfinished_reasoning_count": 0
24
+ },
25
+ "jbb_harmful": {
26
+ "count": 100,
27
+ "explicit_refusal_count": 0,
28
+ "explicit_refusal_rate": 0.0,
29
+ "final_answer_count": 100,
30
+ "completed_answer_count": 5,
31
+ "evasive_nonanswer_count": 0,
32
+ "evasive_nonanswer_rate": 0.0,
33
+ "truncated_generation_count": 95,
34
+ "unfinished_reasoning_count": 0
35
+ }
36
+ },
37
+ "capability": {
38
+ "results": {
39
+ "count": 80,
40
+ "pass_count": 71,
41
+ "pass_rate": 0.8875
42
+ },
43
+ "failed_case_ids": [
44
+ "math-04-fractions",
45
+ "math-08-arithmetic-mean",
46
+ "math-13-probability",
47
+ "math-15-order-operations",
48
+ "instruction-09-even-positions",
49
+ "instruction-13-repeat",
50
+ "instruction-14-remove-vowels",
51
+ "code-10-rust-option",
52
+ "language-03-german"
53
+ ],
54
+ "categories": {
55
+ "coding": {
56
+ "count": 10,
57
+ "passCount": 9,
58
+ "passRate": 0.9,
59
+ "failedCaseIds": [
60
+ "code-10-rust-option"
61
+ ]
62
+ },
63
+ "context_comprehension": {
64
+ "count": 5,
65
+ "passCount": 5,
66
+ "passRate": 1.0,
67
+ "failedCaseIds": []
68
+ },
69
+ "factuality_false_premise": {
70
+ "count": 15,
71
+ "passCount": 15,
72
+ "passRate": 1.0,
73
+ "failedCaseIds": []
74
+ },
75
+ "general_coherence": {
76
+ "count": 5,
77
+ "passCount": 5,
78
+ "passRate": 1.0,
79
+ "failedCaseIds": []
80
+ },
81
+ "instruction_following": {
82
+ "count": 15,
83
+ "passCount": 12,
84
+ "passRate": 0.8,
85
+ "failedCaseIds": [
86
+ "instruction-09-even-positions",
87
+ "instruction-13-repeat",
88
+ "instruction-14-remove-vowels"
89
+ ]
90
+ },
91
+ "math_reasoning": {
92
+ "count": 15,
93
+ "passCount": 11,
94
+ "passRate": 0.7333333333333333,
95
+ "failedCaseIds": [
96
+ "math-04-fractions",
97
+ "math-08-arithmetic-mean",
98
+ "math-13-probability",
99
+ "math-15-order-operations"
100
+ ]
101
+ },
102
+ "multilingual": {
103
+ "count": 5,
104
+ "passCount": 4,
105
+ "passRate": 0.8,
106
+ "failedCaseIds": [
107
+ "language-03-german"
108
+ ]
109
+ },
110
+ "structured_output": {
111
+ "count": 10,
112
+ "passCount": 10,
113
+ "passRate": 1.0,
114
+ "failedCaseIds": []
115
+ }
116
+ }
117
+ },
118
+ "runtime_smoke": {
119
+ "passed": true,
120
+ "peak_memory_gb": 19.043805882,
121
+ "text_passed": true,
122
+ "vision_passed": true
123
+ }
124
+ }
125
+ }
video_preprocessor_config.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "size": {
3
+ "longest_edge": 25165824,
4
+ "shortest_edge": 4096
5
+ },
6
+ "patch_size": 16,
7
+ "temporal_patch_size": 2,
8
+ "merge_size": 2,
9
+ "image_mean": [
10
+ 0.5,
11
+ 0.5,
12
+ 0.5
13
+ ],
14
+ "image_std": [
15
+ 0.5,
16
+ 0.5,
17
+ 0.5
18
+ ],
19
+ "processor_class": "Qwen3VLProcessor",
20
+ "video_processor_type": "Qwen3VLVideoProcessor"
21
+ }
vocab.json ADDED
The diff for this file is too large to render. See raw diff