Update README.md

README.md

@@ -26,7 +26,7 @@ base_model: meta-llama/Meta-Llama-3.1-405B-Instruct
 - **Model Developers:** Neural Magic
 
 Quantized version of [Meta-Llama-3.1-405B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-405B-Instruct) with the updated 8 kv-heads.
-It achieves an average score of 86.39 on the [OpenLLM](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) benchmark (version 1), whereas the unquantized model achieves 86.57.
+It achieves an average score of 86.60 on the [OpenLLM](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) benchmark (version 1), whereas the unquantized model achieves 86.79.
 
 ### Model Optimizations
 
@@ -165,7 +165,7 @@ oneshot(
 
 The model was evaluated on MMLU, ARC-Challenge, GSM-8K, Hellaswag, Winogrande and TruthfulQA.
 Evaluation was conducted using the Neural Magic fork of [lm-evaluation-harness](https://github.com/neuralmagic/lm-evaluation-harness/tree/llama_3.1_instruct) (branch llama_3.1_instruct) and the [vLLM](https://docs.vllm.ai/en/stable/) engine.
-This version of the lm-evaluation-harness includes versions of ARC-Challenge, GSM-8K, and MMLU that match the prompting style of [Meta-Llama-3.1-Instruct-evals](https://huggingface.co/datasets/meta-llama/Meta-Llama-3.1-8B-Instruct-evals).
+This version of the lm-evaluation-harness includes versions of ARC-Challenge, GSM-8K, MMLU, and MMLU-cot that match the prompting style of [Meta-Llama-3.1-Instruct-evals](https://huggingface.co/datasets/meta-llama/Meta-Llama-3.1-8B-Instruct-evals).
 
 ### Accuracy
 
@@ -191,6 +191,16 @@ This version of the lm-evaluation-harness includes versions of ARC-Challenge, GS
    <td>99.59%
    </td>
   </tr>
+  <tr>
+   <td>MMLU-cot (0-shot)
+   </td>
+   <td>88.11
+   </td>
+   <td>87.87
+   </td>
+   <td>99.73%
+   </td>
+  </tr>
   <tr>
    <td>ARC Challenge (0-shot)
    </td>
@@ -244,11 +254,11 @@ This version of the lm-evaluation-harness includes versions of ARC-Challenge, GS
   <tr>
    <td><strong>Average</strong>
    </td>
-   <td><strong>86.57</strong>
+   <td><strong>86.79</strong>
    </td>
-   <td><strong>86.39</strong>
+   <td><strong>86.60</strong>
    </td>
-   <td><strong>99.75%</strong>
+   <td><strong>99.74%</strong>
    </td>
   </tr>
 </table>
@@ -270,6 +280,17 @@ lm_eval \
   --batch_size auto
 ```
 
+#### MMLU-cot
+```
+lm_eval \
+  --model vllm \
+  --model_args pretrained="neuralmagic/Meta-Llama-3.1-405B-Instruct-FP8",dtype=auto,add_bos_token=True,max_model_len=4096,max_gen_toks=1024,tensor_parallel_size=8 \
+  --tasks mmlu_cot_0shot_llama_3.1_instruct \
+  --apply_chat_template \
+  --num_fewshot 0 \
+  --batch_size auto
+```
+
 #### ARC-Challenge
 ```
 lm_eval \