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

@@ -103,4 +103,17 @@ This model has undergone very limited testing. Additional safety testing should
 - **Hardware Type:** 32x A100-80GB
 - **Hours used:** 90 GPU-hours
 - **Cloud Provider:** AWS
-- **Compute Region:** us-east-1
+- **Compute Region:** us-east-1
+# [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_Phind__Phind-CodeLlama-34B-Python-v1)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 35.69   |
+| ARC (25-shot)         | 24.66          |
+| HellaSwag (10-shot)   | 29.77    |
+| MMLU (5-shot)         | 27.95         |
+| TruthfulQA (0-shot)   | 45.27   |
+| Winogrande (5-shot)   | 68.82   |
+| GSM8K (5-shot)        | 21.53        |
+| DROP (3-shot)         | 31.85         |