Everything You Need to Know About Gemma 4: Dense vs. MoE Architectures

Описание: Google DeepMind just dropped Gemma 4, a highly capable family of open-weights models that brings massive upgrades to the AI ecosystem!
In this video, we dive deep into the Gemma 4 model card to explore its brand-new features, including its powerful multimodal capabilities that can handle text, images, video, and even native audio
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We will break down the four new model sizes—ranging from the efficient E2B and E4B models (optimized for local, on-device execution) to the high-performance 31B Dense and incredibly fast 26B A4B Mixture-of-Experts (MoE) model
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Key Features Covered in This Video:
Built-in Thinking Mode: Learn how Gemma 4 acts as a highly capable reasoner with configurable step-by-step thinking modes
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Massive Context Windows: Discover how the new models process up to 128K tokens for smaller models and up to 256K tokens for medium models
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Extended Multimodality: See how Gemma 4 natively supports interleaved text, variable-resolution images, video frame processing, and audio speech recognition (ASR)
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Hardware Efficiency: We explain "Effective" vs "Active" parameters, Per-Layer Embeddings (PLE) for mobile devices, and why the 26B MoE model runs almost as fast as a 4B parameter model
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Timestamps: 0:00 - Introduction to Gemma 4
1:15 - Model Architectures: Dense vs. Mixture-of-Experts (MoE)
2:40 - Model Sizes Explained: E2B, E4B, 26B A4B, & 31B
4:00 - Multimodal Upgrades: Vision, Video, and Audio Inputs
5:30 - The 256k Context Window & Proportional RoPE
6:45 - New "Thinking" & Reasoning Capabilities
8:10 - Coding, Agentic Workflows, & Function Calling
9:30 - Getting Started with Hugging Face Transformers
Resources & Links:
Read the official Gemma 4 Model Card on Google AI for Developers to learn more about benchmarks, safety evaluations, and prompting best practices.
To start building today, run pip install -U transformers torch accelerate.
Don't forget to like, subscribe, and leave a comment below letting us know what you plan to build with Gemma 4!