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---
license: mit
library_name: mlx
tags:
- mlx
base_model: deepseek-ai/DeepSeek-R1-0528-Qwen3-8B
pipeline_tag: text-generation
---
# mlx-community/DeepSeek-R1-0528-Qwen3-8B-4bit-AWQ
This model [mlx-community/DeepSeek-R1-0528-Qwen3-8B-4bit-AWQ](https://huggingface.co/mlx-community/DeepSeek-R1-0528-Qwen3-8B-4bit-AWQ) was
converted to MLX format from [deepseek-ai/DeepSeek-R1-0528-Qwen3-8B](https://huggingface.co/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 256 --sequence-length 1024 --n-grid 50
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/DeepSeek-R1-0528-Qwen3-8B-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)
```
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