●SEARCH — File Search grounding now adds media_id for visual citations and page numbers, so you can trace the exact source●API — Event-driven Webhooks replace polling for the Batch API and long-running operations●DEPRECATION — Two image preview models (e.g. gemini-3.1-flash-image-preview) shut down June 25; migrate dependent automation now●MODEL — Gemini 3.5 Flash is GA, beating 3.1 Pro on nearly every benchmark while running 4x faster●AGENTS — Managed Agents are in public preview on the Gemini API, running autonomous agents in isolated Linux sandboxes●STUDIO — Google AI Studio can now generate Android apps from natural-language prompts●SEARCH — File Search grounding now adds media_id for visual citations and page numbers, so you can trace the exact source●API — Event-driven Webhooks replace polling for the Batch API and long-running operations●DEPRECATION — Two image preview models (e.g. gemini-3.1-flash-image-preview) shut down June 25; migrate dependent automation now●MODEL — Gemini 3.5 Flash is GA, beating 3.1 Pro on nearly every benchmark while running 4x faster●AGENTS — Managed Agents are in public preview on the Gemini API, running autonomous agents in isolated Linux sandboxes●STUDIO — Google AI Studio can now generate Android apps from natural-language prompts

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Gemma¹ Gemma 4¹ Ollama¹ local LLM¹ Gemini¹

⟐ Gemini Dev/2026-06-24Beginner

Running Gemma 4 Locally on Windows — A Hands-On LLM in Two Commands with Ollama

How to run Google's lightweight open model Gemma 4 locally on a Windows laptop. With Ollama, you go from install to running in effectively two commands. Plus how to split work between the cloud Gemini API and a local Gemma.