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mlx-community/
DeepSeek-R1-Qwen3-0528-8B-4bit-AWQ

Name: DeepSeek-R1-Qwen3-0528-8B-4bit-AWQ
Availability: InStock

deepseek-ai/DeepSeek-R1-0528-Qwen3-8B

finetune

mit

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mlx-community/DeepSeek-R1-Qwen3-0528-8B-4bit-AWQ

This model mlx-community/DeepSeek-R1-Qwen3-0528-8B-4bit-AWQ was converted to MLX format from deepseek-ai/DeepSeek-R1-0528-Qwen3-8B using mlx-lm version 0.25.2.

AWQ Parameters: --bits 4 --group-size 64 --embed-bits 4 --embed-group-size 32 --num-samples 128 --sequence-length 1024 --n-grid 50 with a customized calibration dataset

Use with mlx

pip install mlx-lm

python

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/DeepSeek-R1-Qwen3-0528-8B-4bit-AWQ")

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)