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

@@ -41,4 +41,17 @@ ASSISTANT:
 - Highest priority right now is V3.1 with more optimized training and iterative dataset improvements based on testing.
 
 ### Note:
-Through testing V2, I realized some alignment data had leaked in, causing the model to be less cooperative then intended. This model should do much better due to stricter filetering.
+Through testing V2, I realized some alignment data had leaked in, causing the model to be less cooperative then intended. This model should do much better due to stricter filetering.
+# [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_totally-not-an-llm__EverythingLM-13b-V3-16k)
+
+| Metric | Value |
+|-----------------------|---------------------------|
+| Avg. | 44.82 |
+| ARC (25-shot) | 58.19 |
+| HellaSwag (10-shot) | 80.12 |
+| MMLU (5-shot) | 50.48 |
+| TruthfulQA (0-shot) | 45.18 |
+| Winogrande (5-shot) | 70.72 |
+| GSM8K (5-shot) | 1.97 |
+| DROP (3-shot) | 7.06 |