---
license: apache-2.0
pipeline_tag: text-generation
library_name: transformers
tags:
- mlx
base_model: nex-agi/Nex-N2-Pro
---

# usermma/Nex-N2-Pro-mlx-2Bit

The Model [usermma/Nex-N2-Pro-mlx-2Bit](https://huggingface.co/usermma/Nex-N2-Pro-mlx-2Bit) was converted to MLX format from [nex-agi/Nex-N2-Pro](https://huggingface.co/nex-agi/Nex-N2-Pro) using mlx-lm version **0.31.2**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("usermma/Nex-N2-Pro-mlx-2Bit")

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)
```