Update README.md

README.md

@@ -24,7 +24,7 @@ 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 99.82% on the [OpenLLM](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) benchmark (version 1), compared to the unquantized model.
+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 100.1% 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. -->
 
 ### Model Optimizations
@@ -167,11 +167,11 @@ Certain benchmarks for the full precision model are still being acquired. Averag
   <tr>
    <td>ARC Challenge (25-shot)
    </td>
-   <td>73.38
+   <td>*
    </td>
-   <td>72.61
+   <td>*
    </td>
-   <td>98.95%
+   <td>*
    </td>
   </tr>
   <tr>
@@ -219,9 +219,9 @@ Certain benchmarks for the full precision model are still being acquired. Averag
    </td>
    <td><strong>*</strong>
    </td>
-   <td><strong>82.38</strong>
+   <td><strong>*</strong>
    </td>
-   <td><strong>99.82%</strong>
+   <td><strong>100.1%</strong>
    </td>
   </tr>
 </table>