metadata

library_name: transformers
tags:
  - mlx
base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B

zhitels/DeepSeek-R1-Distill-Qwen-32B-6bit

The Model zhitels/DeepSeek-R1-Distill-Qwen-32B-6bit was converted to MLX format from deepseek-ai/DeepSeek-R1-Distill-Qwen-32B using mlx-lm version 0.21.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("zhitels/DeepSeek-R1-Distill-Qwen-32B-6bit")

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)