Adding Evaluation Results

README.md

@@ -64,4 +64,17 @@ Risks and harms of large language models include the generation of harmful, offe
 
 **Use cases**
 
-KoRWKV is a foundational model, and as such, it should not be used for downstream applications without further investigation and mitigations of risks. These risks and potential fraught use cases include, but are not limited to: generation of misinformation and generation of harmful, biased or offensive content.
+KoRWKV is a foundational model, and as such, it should not be used for downstream applications without further investigation and mitigations of risks. These risks and potential fraught use cases include, but are not limited to: generation of misinformation and generation of harmful, biased or offensive content.
+# [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_beomi__KoRWKV-6B)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 25.0   |
+| ARC (25-shot)         | 22.1          |
+| HellaSwag (10-shot)   | 32.18    |
+| MMLU (5-shot)         | 24.69         |
+| TruthfulQA (0-shot)   | 39.05   |
+| Winogrande (5-shot)   | 51.14   |
+| GSM8K (5-shot)        | 0.0        |
+| DROP (3-shot)         | 5.83         |