---
language:
- en
license: mpl-2.0
base_model: TitleOS/Lightning-1.7B
tags:
- lightning
- hermes-3
- utility
- on-device
- text-generation
- finetune
- mlx
datasets:
- NousResearch/Hermes-3-Dataset
pipeline_tag: text-generation
inference: true
model_creator: TitleOS
library_name: mlx
---

# alexgusevski/Lightning-1.7B-mlx

This model [alexgusevski/Lightning-1.7B-mlx](https://huggingface.co/alexgusevski/Lightning-1.7B-mlx) was
converted to MLX format from [TitleOS/Lightning-1.7B](https://huggingface.co/TitleOS/Lightning-1.7B)
using mlx-lm version **0.28.4**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("alexgusevski/Lightning-1.7B-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)
```