---
base_model: knifeayumu/Behemoth-v1.2-Magnum-v4-123B
library_name: transformers
tags:
- mergekit
- merge
- mlx
- mlx-my-repo
license: other
license_name: mrl
inference: false
license_link: https://mistral.ai/licenses/MRL-0.1.md
---

# Lykegenes/Behemoth-v1.2-Magnum-v4-123B-mlx-4Bit

The Model [Lykegenes/Behemoth-v1.2-Magnum-v4-123B-mlx-4Bit](https://huggingface.co/Lykegenes/Behemoth-v1.2-Magnum-v4-123B-mlx-4Bit) was converted to MLX format from [knifeayumu/Behemoth-v1.2-Magnum-v4-123B](https://huggingface.co/knifeayumu/Behemoth-v1.2-Magnum-v4-123B) 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("Lykegenes/Behemoth-v1.2-Magnum-v4-123B-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)
```