Adding Evaluation Results

README.md

@@ -1,5 +1,7 @@
 ---
-base_model: teknium/OpenHermes-2.5-Mistral-7B
+language:
+- en
+license: mit
 tags:
 - mistral
 - instruct
@@ -8,12 +10,10 @@ tags:
 - gpt4
 - synthetic data
 - distillation
+base_model: teknium/OpenHermes-2.5-Mistral-7B
 model-index:
 - name: MistralHermes-CodePro-7B-v1
   results: []
-license: mit
-language:
-- en
 ---
 
 # MistralHermes-CodePro-7B-v1
@@ -38,4 +38,17 @@ You should use [LM Studio](https://lmstudio.ai/) for chatting with the model.
 
 # Quantized Models:
 
-GGUF: [beowolx/MistralHermes-CodePro-7B-v1-GGUF](https://huggingface.co/beowolx/MistralHermes-CodePro-7B-v1-GGUF)
+GGUF: [beowolx/MistralHermes-CodePro-7B-v1-GGUF](https://huggingface.co/beowolx/MistralHermes-CodePro-7B-v1-GGUF)
+# [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_beowolx__MistralHermes-CodePro-7B-v1)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |66.17|
+|AI2 Reasoning Challenge (25-Shot)|62.46|
+|HellaSwag (10-Shot)              |82.68|
+|MMLU (5-Shot)                    |63.44|
+|TruthfulQA (0-shot)              |49.67|
+|Winogrande (5-shot)              |77.90|
+|GSM8k (5-shot)                   |60.88|
+