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---
license: gemma
tags:
- mlx
library_name: mlx
base_model: google/gemma-3-270m-qat
pipeline_tag: text-generation
---
# mlx-community/gemma-3-270m-qat-bf16
This model [mlx-community/gemma-3-270m-qat-bf16](https://huggingface.co/mlx-community/gemma-3-270m-qat-bf16) was
converted to MLX format from [google/gemma-3-270m-qat](https://huggingface.co/google/gemma-3-270m-qat)
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("mlx-community/gemma-3-270m-qat-bf16")
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)
```
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