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Google Gemma 4 release: 26 billion parameter open source model, local equipment can run

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🚀 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 AI ModelGemma 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

ModelStructureTotal parametersValid parametersContextModel
Gemma-4-E2BDense.5.1B2.3B128KText + Image + Audio
Gemma-4-E4BDense.7.9B4.5B128KText + Image + Audio
Gemma-4-26B-A4BMoE.26B3.8B256KText + Image
Gemma-4-31BDense.31B31B256KText + Image
Gemma 4 Four Model Specifications

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