metadata
license: apache-2.0
language:
- en
- ja
base_model: Rakuten/RakutenAI-2.0-mini-instruct
tags:
- mlx
atarayosd/RakutenAI-2.0-mini-instruct
The Model atarayosd/RakutenAI-2.0-mini-instruct was converted to MLX format from Rakuten/RakutenAI-2.0-mini-instruct using mlx-lm version 0.21.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("atarayosd/RakutenAI-2.0-mini-instruct")
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)