---
library_name: transformers
license: llama3.2
base_model: huihui-ai/Llama-3.2-3B-Instruct-abliterated
tags:
- abliterated
- uncensored
- mlx
- mlx-my-repo
---

# mlx-community/Llama-3.2-3B-Instruct-abliterated-6bit

The Model [mlx-community/Llama-3.2-3B-Instruct-abliterated-6bit](https://huggingface.co/mlx-community/Llama-3.2-3B-Instruct-abliterated-6bit) was converted to MLX format from [huihui-ai/Llama-3.2-3B-Instruct-abliterated](https://huggingface.co/huihui-ai/Llama-3.2-3B-Instruct-abliterated) 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("mlx-community/Llama-3.2-3B-Instruct-abliterated-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)
```