metadata
license: mit
language:
- ja
pipeline_tag: text-generation
base_model: sbintuitions/sarashina2.2-1b-instruct-v0.1
tags:
- mlx
library_name: mlx
mlx-community/sarashina2.2-1b-instruct-v0.1
This model mlx-community/sarashina2.2-1b-instruct-v0.1 was converted to MLX format from sbintuitions/sarashina2.2-1b-instruct-v0.1 using mlx-lm version 0.25.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/sarashina2.2-1b-instruct-v0.1")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)