Update README.md

README.md

@@ -35,6 +35,16 @@ StarChat is a series of language models that are trained to act as helpful codin
 - **Repository:** https://github.com/huggingface/alignment-handbook
 - **Demo:** https://huggingface.co/spaces/HuggingFaceH4/starchat2-playground
 
+## Performance
+
+StarChat2 15B was trained to balance chat and programming capabilities. It achieves strong performance on chat benchmarks like [MT Bench](https://huggingface.co/spaces/lmsys/mt-bench) and [IFEval](https://arxiv.org/abs/2311.07911), as well as the canonical HumanEval benchmark for Python code completion. The scores reported below were obtained using the [LightEval](https://github.com/huggingface/lighteval) evaluation suite (commit `988959cb905df4baa050f82b4d499d46e8b537f2`) and each prompt has been formatted with the model's corresponding chat template to simulate real-world usage. This is why some scores may differ from those reported in technical reports or on the Open LLM Leaderboard. 
+
+| Model                                                                                           | MT Bench | IFEval | HumanEval |
+|-------------------------------------------------------------------------------------------------|---------:|-------:|----------:|
+| [starchat2-15b-v0.1](https://huggingface.co/HuggingFaceH4/starchat2-15b-v0.1)                   |     7.66 |  35.12 |     71.34 |
+| [deepseek-coder-6.7b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instruct) |     4.17 |  14.23 |     80.48 |
+| [CodeLlama-13b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-13b-Instruct-hf)         |     6.80 |  43.44 |     50.60 |
+
 
 ## Intended uses & limitations