---
library_name: transformers
tags:
- mergekit
- merge
- mlx
- mlx-my-repo
base_model: DavidAU/MN-GRAND-Gutenberg-Lyra4-Lyra-12B-DARKNESS
---

# gonzo404/MN-GRAND-Gutenberg-Lyra4-Lyra-12B-DARKNESS-mlx-6Bit

The Model [gonzo404/MN-GRAND-Gutenberg-Lyra4-Lyra-12B-DARKNESS-mlx-6Bit](https://huggingface.co/gonzo404/MN-GRAND-Gutenberg-Lyra4-Lyra-12B-DARKNESS-mlx-6Bit) was converted to MLX format from [DavidAU/MN-GRAND-Gutenberg-Lyra4-Lyra-12B-DARKNESS](https://huggingface.co/DavidAU/MN-GRAND-Gutenberg-Lyra4-Lyra-12B-DARKNESS) using mlx-lm version **0.22.1**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("gonzo404/MN-GRAND-Gutenberg-Lyra4-Lyra-12B-DARKNESS-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)
```