Synaptics/gemma-3-270m-torq

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Gemma3 270M

Model Overview

The Gemma 3 270M is a highly compact, 270-million parameter multimodal model from Google designed for extreme efficiency. It is specifically engineered for well-defined tasks like text classification and data extraction where it offers a cost-effective alternative to larger models. Its lightweight architecture is particularly optimized for rapid fine-tuning.

Gemma3 270M been optimized for the Synaptics Astra™ SL2610-Series processors with Torq NPU.

Model Features

  • Model Type: Large Language Model
  • Input: Text
  • Output: Text

Deployment

The compiled model files are available for download on Huggingface at Synaptics/Gemma-3-270m-it.

Usage tutorial to be available in the future at Synaptics AI Developer Zone.

License

Both the source model and the compiled model for on-device deployment are licensed under MIT License.

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