Update README.md

README.md

@@ -1,6 +1,6 @@
 ---
 library_name: transformers
-license: apache-2.0
+license: mit
 language:
 - fr
 - en
@@ -14,9 +14,7 @@ tags:
 
 ## Model Card for Model ID
 
-French-Alpaca based on Llama 3 8B  
-Instruct  
-8k context length.
+French-Alpaca based microsoft/Phi-3-mini-128k-instruct 
 
 ![image/jpeg](https://github.com/jpacifico/French-Alpaca/blob/main/Assets/French-Alpaca_500px.png?raw=true) 
 
@@ -27,8 +25,7 @@ French-Alpaca is a general model and can itself be finetuned to be specialized f
 
 The fine-tuning method is inspired from https://crfm.stanford.edu/2023/03/13/alpaca.html
 
-The quantized GGUF version is available here : https://huggingface.co/jpacifico/French-Alpaca-Llama3-8B-Instruct-q8_0-v1.0-GGUF
-It can be used on a CPU device, compatible with llama.cpp and LM Studio
+Quantized GGUF version : coming soon
 
 ### Usage
 
@@ -51,15 +48,12 @@ def stream_frenchalpaca(user_prompt):
 stream_frenchalpaca("your prompt here")
 ```
 
-Colab Notebook available on my Github:  
-https://github.com/jpacifico/French-Alpaca/blob/main/French_Alpaca_Llama3_inference_test_colab.ipynb
-
 ### Limitations
 
-The French-Alpaca model is a quick demonstration that a base 8B model can be easily fine-tuned to specialize in a particular language.
+The French-Alpaca model is a quick demonstration that a base tiny model can be easily fine-tuned to specialize in a particular language.
 It does not have any moderation mechanisms.
 
 - **Developed by:** Jonathan Pacifico, 2024
 - **Model type:** LLM 
 - **Language(s) (NLP):** French
-- **License:** Apache 2.0
+- **License:** MIT