---
base_model: nicoboss/DeepSeek-R1-Distill-Qwen-32B-Uncensored
library_name: peft
tags:
- generated_from_trainer
- mlx
- mlx-my-repo
license: mit
datasets:
- Guilherme34/uncensor
model-index:
- name: DeepSeek-R1-Distill-Qwen-32B-Uncensored
  results: []
---

# PantiPenti/DeepSeek-R1-Distill-Qwen-32B-Uncensored-mlx-6Bit

The Model [PantiPenti/DeepSeek-R1-Distill-Qwen-32B-Uncensored-mlx-6Bit](https://huggingface.co/PantiPenti/DeepSeek-R1-Distill-Qwen-32B-Uncensored-mlx-6Bit) was converted to MLX format from [nicoboss/DeepSeek-R1-Distill-Qwen-32B-Uncensored](https://huggingface.co/nicoboss/DeepSeek-R1-Distill-Qwen-32B-Uncensored) using mlx-lm version **0.22.3**.

## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("PantiPenti/DeepSeek-R1-Distill-Qwen-32B-Uncensored-mlx-6Bit")

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)
```