Update README.md

README.md

@@ -24,8 +24,8 @@ language:
 - **License(s):** [llama3.1](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B/blob/main/LICENSE)
 - **Model Developers:** Neural Magic
 
-Quantized version of [Meta-Llama-3.1-405B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-405B-Instruct). It achieves an average recovery of 99.97% on the [OpenLLM](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) benchmark (version 1), compared to the unquantized model.
-<!-- It achieves an average score of 78.69 on the [OpenLLM](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) benchmark (version 1), whereas the unquantized model achieves 78.67. -->
+Quantized version of [Meta-Llama-3.1-405B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-405B-Instruct).
+It achieves an average score of 96.67 on the [OpenLLM](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) benchmark (version 1), whereas the unquantized model achieves 96.93.
 
 ### Model Optimizations
 
@@ -163,9 +163,9 @@ This version of the lm-evaluation-harness includes versions of ARC-Challenge and
    </td>
    <td>96.93
    </td>
-   <td>*being collected
+   <td>96.67
    </td>
-   <td>*
+   <td>99.73%
    </td>
   </tr>
   <tr>
@@ -213,9 +213,9 @@ This version of the lm-evaluation-harness includes versions of ARC-Challenge and
    </td>
    <td><strong>86.63</strong>
    </td>
-   <td><strong>*</strong>
+   <td><strong>86.55</strong>
    </td>
-   <td><strong>99.97%</strong>
+   <td><strong>99.91%</strong>
    </td>
   </tr>
 </table>