Folding a Local Gemma 4 into Daily Work — Practical Notes on the Ollama API and Response Speed
Taking a local Gemma 4 you can now run interactively and folding it into real work: how to hit Ollama's local API from a script, tricks to improve perceived response speed, and a two-tier fallback that automatically routes to the cloud Gemini API — code included.
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.
Treating a 0.5B Local LLM as a 'Front-Line Router' — Gemini Nano Next to Qwen 0.5B
Qwen2.5 0.5B reads as 'too weak for daily chat' when you give it the wrong task. As a mobile-app developer with 50M cumulative downloads behind me, I find it useful to put Gemini Nano next to Qwen 0.5B and think about the routing layer instead.
Production-Grade Gemma 4 + Ollama + Android Studio — Task Routing, Fine-Tuning, Team Deployment, and CI Integration
A deep-dive into running Gemma 4 locally for Android development at production scale. Covers model-routing proxies, LoRA fine-tuning for project-specific patterns, Docker Compose team setup, and GitHub Actions AI code review integration.
Running Gemma 4 Locally in Android Studio via Ollama — Setup, Performance, and Real-World Development Experience
A hands-on guide to connecting Android Studio's local LLM feature with Gemma 4 via Ollama. Covers MacOS setup, model selection, practical coding experience, and when local AI makes more sense than cloud APIs.
Gemma 4 × OpenCode Advanced Guide: Building a Production-Ready Local AI Dev Environment
Move beyond 'it works' with Gemma 4 and OpenCode. A deep guide to model selection, context management, prompt design, and hybrid cloud-local workflows for real-world development.
Gemma 4 × OpenCode: Build a Free Local AI Coding Environment in 10 Minutes
Combine Google's open Gemma 4 model with the OpenCode terminal agent and you get a fully local, zero-cost AI coding environment ready in 10 minutes. Here's the setup and an honest take on the experience.
Gemma 4 26B A4B + OpenCode: Build a Free, Local Coding Agent on Your Mac or Linux Box
Apache 2.0–licensed Gemma 4 26B A4B paired with OpenCode finally puts a local coding agent within reach. Here is the practical setup walkthrough — choosing between Ollama, LM Studio, and vLLM, plus the agent configs I actually use.
Building Local Agents with Gemma 4's Function Calling
Learn how to implement private, on-premises AI agents using Gemma 4's dedicated Function Calling tokens without relying on cloud APIs.
Run Gemma 4 Locally: Building Zero-Cost AI Apps
A complete guide to running Gemma 4 locally and building AI apps with zero API costs. Covers setup on MacBook and Raspberry Pi, production architecture design, and leveraging the 256K context window.