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README.md
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- deepseek-ai/DeepSeek-R1
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license: mit
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---
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- deepseek-ai/DeepSeek-R1
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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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Evaluating: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1319/1319 [01:49<00:00, 12.09it/s]
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Results:
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Accuracy: 0.952
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Invalid responses: 0.000
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Total latency: 109.097 s
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Questions per second: 12.090
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Total output tokens: 124914
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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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Results:
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Accuracy: 0.954
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Invalid responses: 0.000
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Total latency: 112.357 s
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Questions per second: 11.739
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Total output tokens: 128126
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Output tokens per second: 1140.344
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```
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