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language:
- zh
- en
- fr
- de
- ja
- ko
- it
- fi
license: apache-2.0
tags:
- qwen3
- mlx
pipeline_tag: text-generation
base_model: OpenBuddy/OpenBuddy-R1-0528-Distill-Qwen3-32B-Preview2-QAT
library_name: mlx
---
# WaveCut/OpenBuddy-R1-0528-Distill-Qwen3-32B-Preview2-QAT_MLX-4bit
This model [WaveCut/OpenBuddy-R1-0528-Distill-Qwen3-32B-Preview2-QAT_MLX-4bit](https://huggingface.co/WaveCut/OpenBuddy-R1-0528-Distill-Qwen3-32B-Preview2-QAT_MLX-4bit) was
converted to MLX format from [OpenBuddy/OpenBuddy-R1-0528-Distill-Qwen3-32B-Preview2-QAT](https://huggingface.co/OpenBuddy/OpenBuddy-R1-0528-Distill-Qwen3-32B-Preview2-QAT)
using mlx-lm version **0.25.2**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("WaveCut/OpenBuddy-R1-0528-Distill-Qwen3-32B-Preview2-QAT_MLX-4bit")
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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