---
language: en
tags:
- mlx
library_name: mlx
pipeline_tag: text-generation
---

# huseyincavus/gemma-3-270m-4bit-mlx

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("huseyincavus/gemma-3-270m-4bit-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)
```