Update eval result table

README.md

@@ -159,35 +159,17 @@ For all these evaluations, a higher score is a better score. We chose these benc
 
 Read more [here](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
 
-[TODO]
-
 ### Results
 
-```json
-{
-    "AVG": {
-        "acc": 60.49
-    },
-    "ARC": {
-        "acc": 59.81
-    },
-    "HellaSwag": {
-        "acc": 74.52
-    },
-    "MMLU": {
-        "acc": 56.33
-    },   
-    "truthfulqa": {
-        "acc": 46.74,
-    },
-    "winogrande": {
-        "acc": 75.00,
-    },
-    "gsm8k": {
-        "acc": 50.64,
-    }
-}
-```
+| Model | AVG | ARC | Hellaswag | MMLU | Truthful QA | Winogrande | GSM8K |
+|-------|--------:|------:|----------:|-----:|----------:|----------:|----------:|
+| [NousResearch/Nous-Puffin-70B](NousResearch/Nous-Puffin-70B) | 64.91 | 67.41 | 87.37 | 69.77 | 46.77 | 83.9 | 34.27 |
+| [TheBloke/Llama-2-70B-fp16](https://huggingface.co/TheBloke/Llama-2-70B-fp16) | 64.52 | 67.32 | 87.33 | 69.83 | 44.92 | 83.74 | 33.97 |
+| [NousResearch/Yarn-Mistral-7B-64k](https://huggingface.co/NousResearch/Yarn-Mistral-7b-64k) | 59.63 | 59.9 | 82.51 | 62.96 | 41.86 | 77.27 | 33.28 |
+| [Qwen1.5-4B-Chat](https://huggingface.co/Qwen/Qwen1.5-4B-Chat) | 46.79 | 43.26 | 69.73 | 55.55 | 44.79 | 64.96 | 2.43 |
+| [Microsoft/phi-2](https://huggingface.co/microsoft/phi-2) | 61.33 | 61.09 | 75.11 | 58.11 | 44.47 | 74.35 | 54.81 |
+| [Damysus-2.7B-Chat](https://huggingface.co/prince-canuma/Damysus-2.7B-Chat) (Ours) | 60.49 | 59.81 | 74.52 | 56.33 | **46.74** | **75.06** | 50.64 |
+
 
 ## Technical Specifications