Adding Evaluation Results

README.md

@@ -49,4 +49,16 @@ messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in
 prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
 outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
 print(outputs[0]["generated_text"])
-```
+```
+# [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_gagan3012__MetaModel_moe)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 74.42   |
+| ARC (25-shot)         | 71.25          |
+| HellaSwag (10-shot)   | 88.4    |
+| MMLU (5-shot)         | 66.26         |
+| TruthfulQA (0-shot)   | 71.86   |
+| Winogrande (5-shot)   | 83.35   |
+| GSM8K (5-shot)        | 65.43        |