Update README.md
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README.md
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@@ -112,7 +112,7 @@ The model was evaluated on AIME24, GPQA Diamond, and MATH-500 benchmarks using t
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### Reproduction
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The results were obtained using the following commands, with custom tasks and 10 rounds using different random seeds.
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```
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MODEL_ARGS="model_name=amd/DeepSeek-R1-0528-MXFP4-ASQ,dtype=bfloat16,tensor_parallel_size=8,max_model_length=71536,max_num_batched_tokens=32768,gpu_memory_utilization=0.85,generation_parameters={max_new_tokens:65536,temperature:0.6,top_p:0.95,seed:$SEED}"
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@@ -125,7 +125,7 @@ lighteval vllm $MODEL_ARGS "custom|aime24_single|0|0,custom|math_500_single|0|0,
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2>&1 | tee -a "$LOG"
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```
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gsm8k
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```
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MODEL_ARGS="model=amd/DeepSeek-R1-0528-MXFP4-ASQ,base_url=http://localhost:8000/v1/completions,num_concurrent=999999,timeout=999999,tokenized_requests=False,max_length=38768,temperature=0.6,top_p=0.95,add_bos_token=True,seed=$SEED"
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### Reproduction
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The results of AIME24, MATH-500, and GPQA Diamond, were obtained using the following commands, with custom tasks and 10 rounds using different random seeds.
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```
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MODEL_ARGS="model_name=amd/DeepSeek-R1-0528-MXFP4-ASQ,dtype=bfloat16,tensor_parallel_size=8,max_model_length=71536,max_num_batched_tokens=32768,gpu_memory_utilization=0.85,generation_parameters={max_new_tokens:65536,temperature:0.6,top_p:0.95,seed:$SEED}"
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2>&1 | tee -a "$LOG"
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```
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The result of gsm8k was obtained using lm-eval-harness.
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```
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MODEL_ARGS="model=amd/DeepSeek-R1-0528-MXFP4-ASQ,base_url=http://localhost:8000/v1/completions,num_concurrent=999999,timeout=999999,tokenized_requests=False,max_length=38768,temperature=0.6,top_p=0.95,add_bos_token=True,seed=$SEED"
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