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@@ -5,7 +5,7 @@ base_model:
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  license: mit
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  ---
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- Results from running `vllm serve RedHatAI/DeepSeek-R1-NVFP4-FP8-BLOCK --tensor-parallel-size=4` on 4 B200s, with `python tests/evals/gsm8k/gsm8k_eval.py --port 8000`
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  ```
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  Running GSM8K evaluation: 1319 questions, 5-shot
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  Output tokens per second: 1144.985
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  ```
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- Results with `nvidia/DeepSeek-R1-NVFP4`
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  ```
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  Running GSM8K evaluation: 1319 questions, 5-shot
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  Evaluating: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1319/1319 [01:52<00:00, 11.74it/s]
 
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  license: mit
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  ---
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+ Results from running `vllm serve RedHatAI/DeepSeek-R1-NVFP4-FP8-BLOCK --tensor-parallel-size=4` on 4 B200s, with `python vllm/tests/evals/gsm8k/gsm8k_eval.py --port 8000`:
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  ```
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  Running GSM8K evaluation: 1319 questions, 5-shot
 
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  Output tokens per second: 1144.985
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  ```
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+ Compare to results with `nvidia/DeepSeek-R1-NVFP4`
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  ```
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  Running GSM8K evaluation: 1319 questions, 5-shot
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  Evaluating: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1319/1319 [01:52<00:00, 11.74it/s]