metadata

license: mit
pipeline_tag: text-generation
language:
  - ja
tags:
  - japanese
  - qwen2
  - mlx
inference: false
base_model: cyberagent/DeepSeek-R1-Distill-Qwen-32B-Japanese

mlx-community/DeepSeek-R1-Distill-Qwen-32B-Japanese

The Model mlx-community/DeepSeek-R1-Distill-Qwen-32B-Japanese was converted to MLX format from cyberagent/DeepSeek-R1-Distill-Qwen-32B-Japanese using mlx-lm version 0.21.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/DeepSeek-R1-Distill-Qwen-32B-Japanese")

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)