Gemma-3n-E4B-IT
Model Description
Gemma 3n E4B-IT, developed by Google DeepMind, is a 4-billion-parameter efficient multimodal model.
Built with MatFormer architecture and dynamic parameter activation, it delivers strong text, image, audio, and video understanding while remaining lightweight enough for on-device deployment.
It supports a 32K context window and multilingual inputs across more than 140 languages.
Features
- Multimodal input: text, image (up to 768×768), audio, and video.
- Efficient design: parameter skipping and caching enable deployment on edge devices.
- Large context window: up to 32K tokens.
- Multilingual: trained on 140+ languages.
- Compact but strong: achieves benchmark scores competitive with much larger models.
Use Cases
- Visual question answering and captioning
- Conversational agents with multimodal inputs
- On-device assistants for mobile and embedded systems
- Multilingual summarization, translation, and transcription
Inputs and Outputs
Input:
- Text prompts or dialogue
- Single image (tokenized for processing)
- Multiple image inputs and audio inputs support coming soon!
Output:
- Generated text (answers, captions, translations, summaries)
How to use
1) Install Nexa-SDK
Download and follow the steps under "Deploy Section" Nexa's model page: Download Windows SDK
2) Get an access token
Create a token in the Model Hub, then log in:
nexa config set license '<access_token>'
3) Run the model
Running:
bash nexa infer NexaAI/gemma-3n
License
- Licensed under Google’s Gemma terms of use. See Hugging Face model card for details.