Gemma 4 Complete Guide: Run LLM on Your Phone, Laptop & Claude Code for Free!

Analytics Vidhya · Beginner ·🧠 Large Language Models ·14h ago

Skills: LLM Foundations80%

GenAi Free Courses - https://www.analyticsvidhya.com/courses/?utm_source=yt_av&utm_medium=video We’ll do a deep dive Gemma 4 review, breaking down the different versions: from the mobile-optimized E2B/E4B to the massive 26B (MoE) and 31B flagship models. You'll learn why the Gemma model is a genuine competitor to paid APIs and how to use its multimodal and agentic capabilities for free. Timestamps 0:00 - Introduction: AI in your pocket (Offline & Private) 0:32 - What is Gemma 4? (E2B, E4B, 26B, 31B Explained) 1:36 - Mixture of Experts (MoE) Architecture Deep Dive 2:48 - Key Features: Multimodality & Agentic Skills 3:30 - The Apache 2.0 License Advantage 3:54 - Gemma 4 on Android & iOS Setup (AI Edge Gallery) 4:40 - Offline Coding Demo: Building Sudoku on Mobile 5:20 - Gemma 4 Setup on Laptop (Ollama Guide) 6:10 - Hardware Requirements for 26B and 31B 6:37 - Gemma 4 Coding: Integrating with Claude Code 7:37 - Conclusion: The Future of Local AI

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Chapters (11)

Introduction: AI in your pocket (Offline & Private)

0:32 What is Gemma 4? (E2B, E4B, 26B, 31B Explained)

1:36 Mixture of Experts (MoE) Architecture Deep Dive

2:48 Key Features: Multimodality & Agentic Skills

3:30 The Apache 2.0 License Advantage

3:54 Gemma 4 on Android & iOS Setup (AI Edge Gallery)

4:40 Offline Coding Demo: Building Sudoku on Mobile

5:20 Gemma 4 Setup on Laptop (Ollama Guide)

6:10 Hardware Requirements for 26B and 31B

6:37 Gemma 4 Coding: Integrating with Claude Code

7:37 Conclusion: The Future of Local AI

5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems

Dave Ebbelaar (LLM Eng)