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Gemma 4 E4B
Model family: gemma-4
The 4B-class on-deviceRunning a model directly on a consumer device — a laptop, a phone, a smart speaker — rather than in a data center. On-device inference keeps data private by never leaving the device, and works offline. Small models (under ~10B parameters, often quantized) can run on-device; larger models cannot yet. Gemma 4 — more capable than E2B for higher-end mobile and laptop use, multimodalA model that can handle more than one type of input or output — typically text plus images, sometimes plus audio or video. "GPT-4 Vision" and "Llama 3.2 11B Vision" are multimodal models that accept both text and images. A text-only model is called "unimodal" but nobody uses that term; text-only is the assumed default., Apache 2.0.
Identity
- Creator
- Model family
- gemma-4
- Release date
- 2026-04-01
Technical specs
- Parameter count
- 4B
- Context window
- 131K tokens
- Modalities
- Image Input
- Text
- Primary capabilities
- Chat
- Instruction Following
- Multilingual
- Reasoning
- Vision
License
- License
- Apache License 2.0
- Commercial use
- Allowed
- Terms
- Modification ✓
- Redistribution ✓
- Attribution ✓
Access
- Openness
- Open Weight
- Access methods
- Local Runtime Llama Cpp
- Local Runtime Lm Studio
- Local Runtime Ollama
- Local Runtime Vllm
- Weights Download Hf
- Cost tier
- Mixed
- llm
- open-weight
- commercial-friendly
- small
- on-device
- multimodal
- self-hostable
- us-based
- apache-2-0