Adding Evaluation Results

This is an automated PR created with https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr

The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.

If you encounter any issues, please report them to https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions

README.md

@@ -11,4 +11,17 @@ This repo contains the merged f16 model. The QLoRA adaptor can be found [here](h
 
 A 7b version of the model can be found [here](https://huggingface.co/Mikael110/llama-2-7b-guanaco-fp16).
 
-**Legal Disclaimer: This model is bound by the usage restrictions of the original Llama-2 model. And comes with no warranty or gurantees of any kind.**
+**Legal Disclaimer: This model is bound by the usage restrictions of the original Llama-2 model. And comes with no warranty or gurantees of any kind.**
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Mikael110__llama-2-13b-guanaco-fp16)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 47.96   |
+| ARC (25-shot)         | 60.92          |
+| HellaSwag (10-shot)   | 83.18    |
+| MMLU (5-shot)         | 54.58         |
+| TruthfulQA (0-shot)   | 44.0   |
+| Winogrande (5-shot)   | 74.9   |
+| GSM8K (5-shot)        | 11.6        |
+| DROP (3-shot)         | 6.5         |