metadata
license: mit
language:
- ja
- en
pipeline_tag: translation
library_name: transformers
tags:
- translation
- machine-translation
- japanese
- english
- mlx
- mlx-my-repo
base_model: cyberagent/CAT-Translate-7b
moutons/CAT-Translate-7b-mlx-4Bit
The Model moutons/CAT-Translate-7b-mlx-4Bit was converted to MLX format from cyberagent/CAT-Translate-7b using mlx-lm version 0.31.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("moutons/CAT-Translate-7b-mlx-4Bit")
prompt="hello"
if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)