witcheer commited on
Commit
49fcacb
·
verified ·
1 Parent(s): 17cc7ff

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +3 -0
README.md CHANGED
@@ -71,6 +71,7 @@ Results are **split by reasoning mode**: comparing a thinking-on (reasoning) mod
71
  | Nemotron-3.5-Lightning | 31.58B | IQ3_XXS⁹ | 78.0 | 92.4 | 81.1 | 86.4 | 82.3 | **84.0** |
72
  | Nemotron-3.5-Lightning | 31.58B | IQ2_M⁹ | 77.2 | 92.1 | 80.3 | 87.3 | 82.9 | **83.9** |
73
  | Nemotron-3.5-Lightning | 31.58B | Q4_K_M | 77.9 | 92.2 | 80.6 | 85.6 | 82.3 | **83.7** |
 
74
  | Nemotron-3.5-Lightning | 31.58B | IQ4_XS⁹ | 77.9 | 92.6 | 82.2 | 84.7 | 79.9 | **83.5** |
75
  | Nemotron-3.5-Lightning | 31.58B | Q3_K_M⁹ | 77.1 | 91.7 | 81.3 | 86.4 | 79.3 | **83.2** |
76
  | Nemotron-3.5-Lightning | 31.58B | IQ2_XXS⁹ | 76.8 | 92.2 | 75.7 | 84.9 | 81.7 | **82.3** |
@@ -101,6 +102,8 @@ Results are **split by reasoning mode**: comparing a thinking-on (reasoning) mod
101
 
102
  ¹³ Ornith 1.5 35B-A3B (MoE, ~3B active), a reasoning model run think-off for board parity, measured 2026-08-21. Q4_K_M is the vendor's first-party GGUF (20.2GB, llama.cpp b9653, 21.4 GiB resident, **303 tok/s tg128**); NVFP4 (23.4GB) served via vLLM 0.25.1 on sm_120 at ~300 tok/s chat-server decode — the two stacks land within 0.1 q_avg. The board understates the model twice over: think-off parity, and GPQA-diamond 52.0 think-off / **81.8 think-on** (16k budget, 2026-08-22) — level with the dense Qwen3.8-27B rungs in both regimes (50.5 / 79.3-80.8) at 3.8x their decode speed. Shipped MTP speculative head measures negative on vLLM 0.25.1 (245-254 vs ~300 base). [Report](reports/ornith-1-5-35b.md).
103
 
 
 
104
  ### Thinking ON (reasoning · extended chain-of-thought)
105
 
106
  | Model | Params | Quant | MMLU | ARC-C | HellaSwag | GSM8K | HumanEval | q_avg |
 
71
  | Nemotron-3.5-Lightning | 31.58B | IQ3_XXS⁹ | 78.0 | 92.4 | 81.1 | 86.4 | 82.3 | **84.0** |
72
  | Nemotron-3.5-Lightning | 31.58B | IQ2_M⁹ | 77.2 | 92.1 | 80.3 | 87.3 | 82.9 | **83.9** |
73
  | Nemotron-3.5-Lightning | 31.58B | Q4_K_M | 77.9 | 92.2 | 80.6 | 85.6 | 82.3 | **83.7** |
74
+ | Ornith 1.5 9B¹⁴ | 8.95B | Q6_K | 78.2 | 93.4 | 86.5 | 86.2 | 73.2 | **83.5** |
75
  | Nemotron-3.5-Lightning | 31.58B | IQ4_XS⁹ | 77.9 | 92.6 | 82.2 | 84.7 | 79.9 | **83.5** |
76
  | Nemotron-3.5-Lightning | 31.58B | Q3_K_M⁹ | 77.1 | 91.7 | 81.3 | 86.4 | 79.3 | **83.2** |
77
  | Nemotron-3.5-Lightning | 31.58B | IQ2_XXS⁹ | 76.8 | 92.2 | 75.7 | 84.9 | 81.7 | **82.3** |
 
102
 
103
  ¹³ Ornith 1.5 35B-A3B (MoE, ~3B active), a reasoning model run think-off for board parity, measured 2026-08-21. Q4_K_M is the vendor's first-party GGUF (20.2GB, llama.cpp b9653, 21.4 GiB resident, **303 tok/s tg128**); NVFP4 (23.4GB) served via vLLM 0.25.1 on sm_120 at ~300 tok/s chat-server decode — the two stacks land within 0.1 q_avg. The board understates the model twice over: think-off parity, and GPQA-diamond 52.0 think-off / **81.8 think-on** (16k budget, 2026-08-22) — level with the dense Qwen3.8-27B rungs in both regimes (50.5 / 79.3-80.8) at 3.8x their decode speed. Shipped MTP speculative head measures negative on vLLM 0.25.1 (245-254 vs ~300 base). [Report](reports/ornith-1-5-35b.md).
104
 
105
+ ¹⁴ Ornith 1.5 9B (dense hybrid-attention), vendor first-party Q6_K (6.85 GiB, llama.cpp b9653, 188 tok/s tg128), think-off for board parity, measured 2026-08-22→24. GPQA-diamond 41.9 think-off / 74.2 think-on — but the think-on number carries a measured failure mode: **25 of 198 chains (12.6%) never terminate under greedy decoding**, at 16k AND 32k budgets, and the vendor's own BF16 GGUF still fails to terminate 22 of the 25 at 32k — the wall is the model under this regime, not the quant (the 35B sibling truncates 14 under the identical recipe). On chains that finish, accuracy is 85%. The 35B-A3B sibling dominates the 9B on every axis on this card, including decode speed (303 vs 188 tok/s). [Report](reports/ornith-1-5-9b.md).
106
+
107
  ### Thinking ON (reasoning · extended chain-of-thought)
108
 
109
  | Model | Params | Quant | MMLU | ARC-C | HellaSwag | GSM8K | HumanEval | q_avg |