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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)