---
tags:
- text-generation
- agent
- tool-use
- long-context
- mlx
license: other
language:
- en
pipeline_tag: text-generation
base_model: GAIR/LIMI-Air
library_name: mlx
---

# LIMI-Air-qx65-hi-mlx

This model [LIMI-Air-qx65-hi-mlx](https://huggingface.co/LIMI-Air-qx65-hi-mlx) was
converted to MLX format from [GAIR/LIMI-Air](https://huggingface.co/GAIR/LIMI-Air)
using mlx-lm version **0.27.1**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("LIMI-Air-qx65-hi-mlx")

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)
```