---
license: mit
library_name: transformers
base_model: deepseek-ai/DeepSeek-R1-0528-Qwen3-8B
tags:
- mlx
---

# jesusoctavioas/DeepSeek-R1-0528-Qwen3-8B-mlx-4Bit

The Model [jesusoctavioas/DeepSeek-R1-0528-Qwen3-8B-mlx-4Bit](https://huggingface.co/jesusoctavioas/DeepSeek-R1-0528-Qwen3-8B-mlx-4Bit) 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 **0.26.4**.

## Use with mlx

```bash
# Create a virtual enviroment if needed.
python -m venv mlx-venv
# then activate the virtual enviroment if needed.
source mlx-venv/bin/activate
# then install mlx.
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("jesusoctavioas/DeepSeek-R1-0528-Qwen3-8B-mlx-4Bit")

prompt="hello"

if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, tokenize=False, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
```