README.md

---
license: apache-2.0
base_model: GreenBitAI/DeepSeek-R1-Distill-Qwen-32B-layer-mix-bpw-4.0
tags:
- mlx
---

# GreenBitAI/DeepSeek-R1-Distill-Qwen-32B-layer-mix-bpw-4.0-mlx

This quantized low-bit model [GreenBitAI/DeepSeek-R1-Distill-Qwen-32B-layer-mix-bpw-4.0-mlx](https://huggingface.co/GreenBitAI/DeepSeek-R1-Distill-Qwen-32B-layer-mix-bpw-4.0-mlx) was converted to MLX format from [`GreenBitAI/DeepSeek-R1-Distill-Qwen-32B-layer-mix-bpw-4.0`](https://huggingface.co/GreenBitAI/DeepSeek-R1-Distill-Qwen-32B-layer-mix-bpw-4.0) using gbx-lm version **0.3.7**.
Refer to the [original model card](https://huggingface.co/GreenBitAI/DeepSeek-R1-Distill-Qwen-32B-layer-mix-bpw-4.0) for more details on the model.

## Use with mlx

```bash
pip install gbx-lm
```

```python
from gbx_lm import load, generate

model, tokenizer = load("GreenBitAI/DeepSeek-R1-Distill-Qwen-32B-layer-mix-bpw-4.0-mlx")

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)
```