---
pipeline_tag: text-generation
license: other
license_name: modified-mit
license_link: https://github.com/MiniMax-AI/MiniMax-M2.7/blob/main/LICENSE
library_name: mlx
tags:
- mlx
base_model: MiniMaxAI/MiniMax-M2.7
---

# catalystsec/MiniMax-M2.7-4bit-DWQ

This model was quantized to 4-bit using DWQ with mlx-lm version **0.31.2**.

| Parameter                 | Value                          |
|---------------------------|--------------------------------|
| DWQ learning rate         | 2e-7                           |
| Batch size                | 1                              |
| Dataset                   | `allenai/tulu-3-sft-mixture`   |
| Initial validation loss   | 0.051                          |
| Final validation loss     | 0.032                          |
| Relative KL reduction     | ≈37 %                          |
| Tokens processed          | ≈1.16 M                        |

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("catalystsec/MiniMax-M2.7-4bit-DWQ")

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)
```