metadata
library_name: transformers
license: other
license_link: LICENSE
base_model: Aratako/sarashina2.1-1b-sft
tags:
- axolotl
- generated_from_trainer
- mlx
language:
- ja
model-index:
- name: sarashina2.1-1b-sft
results: []
mlx-community/sarashina2.1-1b-sft-4bit
The Model mlx-community/sarashina2.1-1b-sft-4bit was converted to MLX format from Aratako/sarashina2.1-1b-sft using mlx-lm version 0.20.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/sarashina2.1-1b-sft-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)