|
--- |
|
library_name: transformers |
|
license: apache-2.0 |
|
language: |
|
- fr |
|
- en |
|
datasets: |
|
- jpacifico/French-Alpaca-dataset-Instruct-110K |
|
--- |
|
|
|
## Model Card for Model ID |
|
|
|
A 7B language model. Good in French. |
|
|
|
### Model Description |
|
|
|
French-Alpaca is a 7.24B params LLM model based on the mlabonne/AlphaMonarch-7B merged model(Mistral-7B base), |
|
fine-tuned from the original French-Alpaca-dataset entirely generated with OpenAI GPT-3.5-turbo. |
|
The fine-tuning method is inspired from https://crfm.stanford.edu/2023/03/13/alpaca.html |
|
|
|
This quantized GGUF version can be used on a CPU device, compatible with llama.cpp and LM Studio. |
|
|
|
![image/jpeg](https://github.com/jpacifico/French-Alpaca/blob/main/Assets/french-alpaca-gguf.png?raw=true) |
|
|
|
|
|
### Limitations |
|
|
|
The French-Alpaca beta model is a quick demonstration that a base 7B 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 |
|
- **Finetuned from model :** mlabonne/AlphaMonarch-7B |