Adding Evaluation Results

README.md

@@ -14,4 +14,17 @@ model_name = "circulus/Llama-2-13b-orca-v1"
 tokenizer = AutoTokenizer.from_pretrained(model_name, use_fast=False)
 config = BitsAndBytesConfig(load_in_4bit=True, bnb_4bit_compute_dtype=torch.bfloat16, bnb_4bit_use_double_quant=True)
 model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto", quantization_config=config)
-```
+```
+# [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_circulus__Llama-2-13b-orca-v1)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 51.99   |
+| ARC (25-shot)         | 62.2          |
+| HellaSwag (10-shot)   | 82.32    |
+| MMLU (5-shot)         | 57.67         |
+| TruthfulQA (0-shot)   | 49.6   |
+| Winogrande (5-shot)   | 76.8   |
+| GSM8K (5-shot)        | 12.89        |
+| DROP (3-shot)         | 22.47         |