Update README.md

README.md

@@ -17,7 +17,7 @@ pipeline_tag: text-generation
 DPO fine-tuned of [microsoft/Phi-3.5-mini-instruct](https://huggingface.co/microsoft/Phi-3.5-mini-instruct) (3.82B params)  
 using the [jpacifico/french-orca-dpo-pairs-revised](https://huggingface.co/datasets/jpacifico/french-orca-dpo-pairs-revised) rlhf dataset.  
 Training in French also improves the model in English, surpassing the performances of its base model.  
-128K context length  
+*The model supports 128K context length*.  
 
 ### OpenLLM Leaderboard
 
@@ -123,6 +123,8 @@ sequences = pipeline(
 print(sequences[0]['generated_text'])
 ```
 
+* **4-bit quantized version** is available here : [jpacifico/Chocolatine-3B-Instruct-DPO-v1.2-Q4_K_M-GGUF](https://huggingface.co/jpacifico/Chocolatine-3B-Instruct-DPO-v1.2-Q4_K_M-GGUF)
+
 ### Limitations
 
 The Chocolatine model is a quick demonstration that a base model can be easily fine-tuned to achieve compelling performance.