Adding Evaluation Results

README.md

@@ -16,4 +16,17 @@ model = AutoModelForCausalLM.from_pretrained(
           load_in_4bit=True)
 tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
 
-```
+```
+# [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_guardrail__llama-2-7b-guanaco-instruct-sharded)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 44.87   |
+| ARC (25-shot)         | 53.75          |
+| HellaSwag (10-shot)   | 78.69    |
+| MMLU (5-shot)         | 46.65         |
+| TruthfulQA (0-shot)   | 43.93   |
+| Winogrande (5-shot)   | 72.61   |
+| GSM8K (5-shot)        | 7.81        |
+| DROP (3-shot)         | 10.65         |