Adding Evaluation Results

This is an automated PR created with https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr

The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.

If you encounter any issues, please report them to https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions

README.md

@@ -1,11 +1,11 @@
 ---
-model-index:
-- name: rocket-3b
-  results: []
-license: cc-by-sa-4.0
 language:
 - en
+license: cc-by-sa-4.0
 base_model: stabilityai/stablelm-3b-4e1t
+model-index:
+- name: rocket-3b
+  results: []
 ---
 
 <img src="https://cdn-uploads.huggingface.co/production/uploads/6501bfe0493fd9c8c2e32402/BmbkjOkcTm-YMa-unolmJ.png" alt="Rocket Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
@@ -128,4 +128,17 @@ The pretraining dataset is comprised of a filtered mixture of open-source large-
 
 **The model name is inspired by the small but formidable character from 'Guardians of the Galaxy'. Similar to its namesake, this model, with its 3 billion parameters, showcases remarkable efficiency and effectiveness, challenging larger models despite its smaller size."*
 
-*Model card adapted from [Zephyr Beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta/blob/main/README.md) and [Tulu-2-7B](https://huggingface.co/allenai/tulu-2-7b/blob/main/README.md)*
+*Model card adapted from [Zephyr Beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta/blob/main/README.md) and [Tulu-2-7B](https://huggingface.co/allenai/tulu-2-7b/blob/main/README.md)*
+# [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_pansophic__rocket-3B)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |55.77|
+|AI2 Reasoning Challenge (25-Shot)|50.60|
+|HellaSwag (10-Shot)              |76.69|
+|MMLU (5-Shot)                    |47.10|
+|TruthfulQA (0-shot)              |55.82|
+|Winogrande (5-shot)              |67.96|
+|GSM8k (5-shot)                   |36.47|
+