|
--- |
|
tags: |
|
- merge |
|
- mergekit |
|
- french |
|
- french-alpaca |
|
base_model: |
|
- jpacifico/French-Alpaca-7B-Instruct-beta |
|
- bofenghuang/vigostral-7b-chat |
|
license: apache-2.0 |
|
--- |
|
|
|
# Vigalpaca-French-7B-ties |
|
|
|
Vigalpaca-French-7B-ties is a merge of the following models: |
|
jpacifico/French-Alpaca-7B-Instruct-beta |
|
bofenghuang/vigostral-7b-chat |
|
|
|
base model : jpacifico/French-Alpaca-7B-Instruct-beta |
|
|
|
``` |
|
|
|
## Usage |
|
|
|
```python |
|
!pip install -qU transformers accelerate |
|
|
|
from transformers import AutoTokenizer |
|
import transformers |
|
import torch |
|
|
|
model = "jpacifico/Vigalpaca-French-7B-ties" |
|
messages = [{"role": "user", "content": "What is a large language model?"}] |
|
|
|
tokenizer = AutoTokenizer.from_pretrained(model) |
|
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) |
|
pipeline = transformers.pipeline( |
|
"text-generation", |
|
model=model, |
|
torch_dtype=torch.float16, |
|
device_map="auto", |
|
) |
|
|
|
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95) |
|
print(outputs[0]["generated_text"]) |
|
``` |
|
|
|
### Limitations |
|
|
|
The Vigalpaca model is a quick demonstration that a base 7B model can be easily merged/fine-tuned to specialize in a particular language. |
|
It does not have any moderation mechanisms. |
|
|
|
- **Developed by:** Jonathan Pacifico. Vigostral model by Bofeng Huang (special thanks), 2024 |
|
- **Model type:** LLM |
|
- **Language(s) (NLP):** French |
|
- **License:** Apache-2.0 |
