---
tags:
- unsloth
- mlx
base_model: unsloth/minimax-m2.5
pipeline_tag: text-generation
license: other
license_name: modified-mit
license_link: https://github.com/MiniMax-AI/MiniMax-M2.5/blob/main/LICENSE
library_name: mlx
---

# async0x42/unsloth_MiniMax-M2.5-4bit

This model [async0x42/unsloth_MiniMax-M2.5-4bit](https://huggingface.co/async0x42/unsloth_MiniMax-M2.5-4bit) was
converted to MLX format from [unsloth/minimax-m2.5](https://huggingface.co/unsloth/minimax-m2.5)
using mlx-lm version **0.30.7**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("async0x42/unsloth_MiniMax-M2.5-4bit")

prompt = "hello"

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

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