Update README.md

README.md

@@ -114,12 +114,12 @@ using the [jpacifico/french-orca-dpo-pairs-revised](https://huggingface.co/datas
 Training in French also improves the model in English, surpassing the performances of its base model.  
 Window context = 4k tokens  
 
-* **4-bit quantized version** is available here : [jpacifico/Chocolatine-14B-Instruct-DPO-v1.2-Q4_K_M-GGUF](https://huggingface.co/jpacifico/Chocolatine-14B-Instruct-DPO-v1.2-Q4_K_M-GGUF)
+* **4-bit quantized version** available here : [jpacifico/Chocolatine-14B-Instruct-DPO-v1.2-Q4_K_M-GGUF](https://huggingface.co/jpacifico/Chocolatine-14B-Instruct-DPO-v1.2-Q4_K_M-GGUF)
 
 ### OpenLLM Leaderboard
 
-Chocolatine is the best-performing model in size 13B on the [OpenLLM Leaderboard](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) (2024/09/01)   
-and even the number one of the < 22B params models
+Chocolatine is the best-performing model in size 13B on the [OpenLLM Leaderboard](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) (last update: 2024/10/18)   
+
 ![image/png](https://github.com/jpacifico/Chocolatine-LLM/blob/main/Assets/chocolatine_14B_leaderboard_20240901.png?raw=false)