README.md

metadata

library_name: transformers
base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
tags:
  - mlx

umgbhalla/mlx-DeepSeek-R1-Distill-Qwen-1.5B-v0.1-2bit

The Model umgbhalla/mlx-DeepSeek-R1-Distill-Qwen-1.5B-v0.1-2bit was converted to MLX format from deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B using mlx-lm version 0.21.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("umgbhalla/mlx-DeepSeek-R1-Distill-Qwen-1.5B-v0.1-2bit")

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)