|
--- |
|
library_name: transformers |
|
license: mit |
|
language: |
|
- fr |
|
datasets: |
|
- jpacifico/French-Alpaca-dataset-Instruct-110K |
|
tags: |
|
- phi3 |
|
- french-alpaca |
|
- gguf |
|
- quantized |
|
- edgeai |
|
--- |
|
|
|
### French-Alpaca-Phi-3-GGUF |
|
|
|
French-Alpaca is a 3B params LLM model based on microsoft/Phi-3-mini-4k-instruct , |
|
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 f16 GGUF version can be used on a CPU device, compatible llama.cpp |
|
Unsupported architecture by LM Studio. |
|
|
|
|
|
### Limitations |
|
|
|
The French-Alpaca models family is a quick demonstration that a small LM ( < 8B params ) |
|
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:** MIT |
|
- **Finetuned from model :** microsoft/Phi-3-mini-4k-instruct |
