Update README.md

README.md

@@ -63,6 +63,20 @@ In AlpacaEval, Rocket 🦝 achieves a near 80% win rate, coupled with an average
 | **Rocket** 🦝 | **79.75** | **1.42** | **1242** |
 
 
+## [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|
+
+
 ## Intended uses & limitations
 Initially, we fine-tuned the model using a dataset created by merging and curating multiple datasets, available on the HuggingFace Hub. This dataset will be released to the public soon. We further enhanced the model's performance using DPO, selecting samples from the [openbmb/UltraFeedback](https://huggingface.co/datasets/openbmb/UltraFeedback) and [BAAI/JudgeLM-100K](https://huggingface.co/datasets/BAAI/JudgeLM-100K) datasets. The outcome is a highly effective chat model with a 3 billion parameter scale.
 
@@ -128,17 +142,4 @@ 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)*
-# [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|
-
+*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)*