Google Gemma 4 release: 26 billion parameter open source model, local equipment can run
🚀 Google's latest open source · local running · completely free
Google just released it. Gemma 4 A series of open source models, the latest multi-modular, multi-linguistic model family of Google DeepMind. The most attractive part is Gemma 4 not onlyFull open source free.It's still there.Local device offlineThat means you can have a powerful AI assistant on your computer, even your cell phone, without the Internet, completely private data.
Gemma 4 – New flag for local AI Bar
📊 Gemma 4 Series Model at a glance
Gemma 4 Models with four different specifications covering full deployment scenarios from mobile phones to data centres
| Model | Structure | Total parameters | Valid parameters | Context | Model |
|---|---|---|---|---|---|
| Gemma-4-E2B | Dense. | 5.1B | 2.3B | 128K | Text + Image + Audio |
| Gemma-4-E4B | Dense. | 7.9B | 4.5B | 128K | Text + Image + Audio |
| Gemma-4-26B-A4B | MoE. | 26B | 3.8B | 256K | Text + Image |
| Gemma-4-31B | Dense. | 31B | 31B | 256K | Text + Image |
of which E2B and E4B It is a lightweight model specially designed for peripheral equipment, which can operate on low-capacity equipment such as mobile phones, strawberry pies, etc.;26B-A4B Using MoE (mixed experts) architecture, activation parameters are only 3.8B, but performance is close to 31B;31B This is the strongest Gemma 4 model.
Four core spots.
🎯 Multimodular raw
- Support 140+languages
- Text + Image + Audio
- Intersect Multimodule Input
- Native multimodular structure
It's too long.
- Maximum 256K Context
- The whole book is processed once.
- Multicycle Dialogue Memory
- Long document analysis
♪ Mixed thinking ♪
- Visible thought control
- Marks
- The reasoning is clear.
- Complex mandates optimized
Tool Call
- Original
- Agent Application Support
- API Call Capacity
- Code Execution