An edge-oriented Gemma4 model with text and visual input. Try it for daily writing and image questions on a laptop with room for the app and its context.
Where it works well
- Designed for local device use.
- Text and image tasks without switching models.
- Thinking and structured instructions in compatible apps.
Common use cases
- Create alt text for a website image.
- Explain a small code snippet.
- Convert your notes into an outline.
Know its limits
- E4B means effective parameters; weights and embeddings still take more memory.
- Downloads vary by local backend, and a busy 16 GB machine may need shorter context.
Run it on your computer
Start with a compressed download and a short conversation. Our estimate is about 16 GB of total RAM or Mac unified memory, with room for the operating system. The listed 6.6–9.5 GB download is the model file, not its full running memory use.
Check the model’s supported runtime and hardware before loading it. System RAM on a PC and unified memory on a Mac are different from dedicated NVIDIA VRAM. A memory match doesn’t guarantee compatibility or speed. Choose a smaller model if responses are too slow.
Use a desktop app that supports the listed model format, such as LM Studio or Ollama. Download the exact local variant, load it in Chat, and start with one small task. Model downloads need internet; local chat can work offline once the model is downloaded.
Official model information
Model capabilities checked October 2026. The use cases above are practical starting suggestions, not performance guarantees.