Update README.md

README.md

@@ -83,20 +83,12 @@ The GSM8K results were obtained using the lm-eval framework, based on the Docker
 ```
 export VLLM_ROCM_USE_AITER=1
 
-export model_dir_fp4=MiniMaxAI/MiniMax-M2.5-mxfp4/
+export model_dir=MiniMaxAI/MiniMax-M2.5-mxfp4/
 log_file=minimax25-lm_eval_gsm8k_mxfp4.txt
 
-lm_eval --model vllm --model_args pretrained=$model_dir_fp4,enforce_eager=True,trust_remote_code=True,max_model_len=16384 \
+lm_eval --model vllm --model_args pretrained=$model_dir,enforce_eager=True,trust_remote_code=True,max_model_len=16384 \
         --gen_kwargs temperature=1.0,top_p=0.95,top_k=40 \
         --tasks gsm8k  --num_fewshot 8 2>&1 | tee $log_file
-
-
-export model_dir=MiniMaxAI/MiniMax-M2.5/
-log_file=minimax25-lm_eval_gsm8k.txt
-
-lm_eval --model vllm --model_args pretrained=$model_dir,enforce_eager=True,tensor_parallel_size=8,trust_remote_code=True,max_model_len=16384 \
-        --gen_kwargs temperature=0.8,top_p=0.95,top_k=40 \
-        --tasks gsm8k  --num_fewshot 8 2>&1 | tee $log_file
 ```