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

@@ -290,3 +290,17 @@ def tokenize_single_input(tokenizer, prompt):
 To explore conditional language models, you can also set `prefix = "Assistant GPT3:"` to mimic ChatGPT behavior (this may cause performance degradation).
 
 *Hint: In BPE, `tokenize(A) + tokenize(B)` does not always equals to `tokenize(A + B)`*
+
+# [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_TheBloke__openchat_v2_openorca_preview-GPTQ)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 31.46   |
+| ARC (25-shot)         | 27.99          |
+| HellaSwag (10-shot)   | 26.06    |
+| MMLU (5-shot)         | 24.24         |
+| TruthfulQA (0-shot)   | 50.08   |
+| Winogrande (5-shot)   | 70.64   |
+| GSM8K (5-shot)        | 13.27        |
+| DROP (3-shot)         | 7.96         |