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gemma-3-270-int4-it-torq
Synaptics/gemma-3-270-int4-it-torq
gemma-3-270-int4-it-torq is a machine learning model from Synaptics. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for torq. The card lists the license as gemma.
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 extracti…
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.npy337 MB · 68%
At a glance
- Library
- torq
- License
- gemma
- Model type
- gemma3_text
- Access
- Public
- Created
- Jul 1, 2026
- Updated
- Aug 7, 2026
- SHA
- 8c4d6539
Base models
Model card
From the Hugging Face model README
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.
Learn More
- Synaptics AI Developer Zone: Get started with documentation, tutorials and resources for your Edge AI journey.
- Astra Support Portal: Connect with our engineering team and community.
- Library
- torq
- Type
- gemma3_text
- License
- gemma
- Created
- Jul 1, 2026
- Updated
- Aug 7, 2026