---
license: apache-2.0
base_model: nidum/Nidum-Llama-3.2-3B-Uncensored
library_name: adapter-transformers
tags:
- chemistry
- biology
- legal
- code
- medical
- finance
- mlx
pipeline_tag: text-generation
---

# nidum/Nidum-Llama-3.2-3B-Uncensored-MLX-4bit

The Model [nidum/Nidum-Llama-3.2-3B-Uncensored-MLX-4bit](https://huggingface.co/nidum/Nidum-Llama-3.2-3B-Uncensored-MLX-4bit) was converted to MLX format from [nidum/Nidum-Llama-3.2-3B-Uncensored](https://huggingface.co/nidum/Nidum-Llama-3.2-3B-Uncensored) using mlx-lm version **0.19.2**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("nidum/Nidum-Llama-3.2-3B-Uncensored-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)
```