---
library_name: mlx
pipeline_tag: text-generation
tags:
- transformers
- mlx
license: other
license_name: modified-mit
license_link: https://github.com/MiniMax-AI/MiniMax-M2.1/blob/main/LICENSE
base_model:
- MiniMaxAI/MiniMax-M2.1
---

# mlx-community/MiniMax-M2.1-4bit

This model [mlx-community/MiniMax-M2.1-4bit](https://huggingface.co/mlx-community/MiniMax-M2.1-4bit) was
converted to MLX format from [MiniMaxAI/MiniMax-M2.1](https://huggingface.co/MiniMaxAI/MiniMax-M2.1)
using mlx-lm version **0.29.1**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/MiniMax-M2.1-4bit")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
```