---
license: mit
pipeline_tag: text-generation
library_name: mlx
tags:
- mlx
base_model: inclusionAI/Ling-lite-1.5-2507
---

# Ling-lite-1.5-2507-q6-hi-mlx

This model [Ling-lite-1.5-2507-q6-hi-mlx](https://huggingface.co/Ling-lite-1.5-2507-q6-hi-mlx) was
converted to MLX format from [inclusionAI/Ling-lite-1.5-2507](https://huggingface.co/inclusionAI/Ling-lite-1.5-2507)
using mlx-lm version **0.26.3**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("Ling-lite-1.5-2507-q6-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)
```