English注册

Synaptics/gemma-3-270m-torq

🤗 Hugging Face 来源apache-2.01.7 GBother✓ 5 个校验和今天更新
一条命令提交

在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对，然后提交。你只需开始做种，并粘贴你账户中的密钥。它只读取你的文件，绝不修改。如果愿意，可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo Synaptics/gemma-3-270m-torq ./model-folder
需要做种者 →

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.

Learn More