Update README.md

README.md

@@ -85,6 +85,20 @@ there were some limitations on its performance on longer context. Motivated by i
 - **Contact:** [GitHub issues](https://github.com/awslabs/extending-the-context-length-of-open-source-llms/issues)
 - **Inference Code** [Github Repo](https://github.com/awslabs/extending-the-context-length-of-open-source-llms/blob/main/MistralLite/)
 
+## MistralLite LM-Eval Results
+
+### Methodology
+
+- Please see https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
+- revision=4ececff
+- Note: we used --model hf-causal-experimental instead of --model hf-causal
+
+### Results
+
+|Average|hellaswag| arc_challenge|truthful_qa (mc2)| MMLU (acc)|
+|----------|-------------:|------------:|-----------:|-----------:|
+| 0.57221 | 0.81617 | 0.58874 | 0.38275 | 0.5012 |
+
 ## How to Use MistralLite from Python Code (HuggingFace transformers) ##
 
 **Important** - For an end-to-end example Jupyter notebook, please refer to [this link](https://github.com/awslabs/extending-the-context-length-of-open-source-llms/blob/main/MistralLite/huggingface-transformers/example_usage.ipynb).