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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)