Adding Evaluation Results

README.md

@@ -239,3 +239,17 @@ Vicuna is evaluated with standard benchmarks, human preference, and LLM-as-a-jud
 
 ## Difference between different versions of Vicuna
 See [vicuna_weights_version.md](https://github.com/lm-sys/FastChat/blob/main/docs/vicuna_weights_version.md)
+
+# [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__vicuna-13b-v1.3.0-GPTQ)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 46.72   |
+| ARC (25-shot)         | 54.35          |
+| HellaSwag (10-shot)   | 79.47    |
+| MMLU (5-shot)         | 51.97         |
+| TruthfulQA (0-shot)   | 50.88   |
+| Winogrande (5-shot)   | 74.66   |
+| GSM8K (5-shot)        | 8.42        |
+| DROP (3-shot)         | 7.26         |