Update README.md

README.md

@@ -134,10 +134,27 @@ model-index:
 
 This model is a fine-tune (DPO) of `meta-llama/Meta-Llama-3-70B-Instruct` model.
 
-# Quantized GGUF
+# ⚡ Quantized GGUF
 
 All GGUF models are available here: [MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.4-GGUF](https://huggingface.co/MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.4-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_MaziyarPanahi__Llama-3-70B-Instruct-DPO-v0.4)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |78.89|
+|AI2 Reasoning Challenge (25-Shot)|72.61|
+|HellaSwag (10-Shot)              |86.03|
+|MMLU (5-Shot)                    |80.50|
+|TruthfulQA (0-shot)              |63.26|
+|Winogrande (5-shot)              |83.58|
+|GSM8k (5-shot)                   |87.34|
+
+**Top 10 models on the Leaderboard**
+<img src="./llama-3-70b-top-10.png" alt="Llama-3-70B finet-tuned models" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
+
+
 # Prompt Template
 
 This model uses `ChatML` prompt template:
@@ -259,30 +276,3 @@ Here are the pros and cons of the Docker system:
 
 Overall, Docker provides a powerful and flexible way to deploy and manage applications, but it requires careful planning, configuration, and management to ensure optimal performance and security.
 ```
-# [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_MaziyarPanahi__Llama-3-70B-Instruct-DPO-v0.4)
-
-|             Metric              |Value|
-|---------------------------------|----:|
-|Avg.                             |78.89|
-|AI2 Reasoning Challenge (25-Shot)|72.61|
-|HellaSwag (10-Shot)              |86.03|
-|MMLU (5-Shot)                    |80.50|
-|TruthfulQA (0-shot)              |63.26|
-|Winogrande (5-shot)              |83.58|
-|GSM8k (5-shot)                   |87.34|
-
-
-# [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_MaziyarPanahi__Llama-3-70B-Instruct-DPO-v0.4)
-
-|             Metric              |Value|
-|---------------------------------|----:|
-|Avg.                             |78.89|
-|AI2 Reasoning Challenge (25-Shot)|72.61|
-|HellaSwag (10-Shot)              |86.03|
-|MMLU (5-Shot)                    |80.50|
-|TruthfulQA (0-shot)              |63.26|
-|Winogrande (5-shot)              |83.58|
-|GSM8k (5-shot)                   |87.34|
-