---
language:
- en
library_name: transformers
tags:
- mergekit
- merge
- mlx
base_model: royallab/MN-LooseCannon-12B-v2
---

# mlx-community/royallab_MN-LooseCannon-12B-v2

The Model [mlx-community/royallab_MN-LooseCannon-12B-v2](https://huggingface.co/mlx-community/royallab_MN-LooseCannon-12B-v2) was converted to MLX format from [royallab/MN-LooseCannon-12B-v2](https://huggingface.co/royallab/MN-LooseCannon-12B-v2) using mlx-lm version **0.19.0**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/royallab_MN-LooseCannon-12B-v2")

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)
```