Ollama is a topic tracked in our intelligence system with 5 linked articles.
A 2016 Intel Xeon server with 128 GB DDR3 RAM and no GPU runs a 26B Mixture-of-Experts model using CPU-optimized inference and a long, flag-heavy tuning process, illustrating memory-bandwidth limits and the claimed viability of open-weight AI on commodity hardware.
Odysseus is a self-hosted AI workspace with public repo activity, deployment guides, and security considerations, enabling local models, agents, and web research via Docker or manual installs.
A practical guide to running local LLMs on a 24GB MacBook Pro using LM Studio, Pi, and OpenCode, with concrete models, context sizes, and config tweaks illustrating hardware-bound tradeoffs and workflow implications for developers.
Open-source test runner for Agent Skills to empirically validate SKILL efficacy via with_skill vs baseline and judge scoring, producing artifacts and HTML reports.
Modo is an open-source AI IDE that enforces spec-first development and task-driven execution, built as a learning experiment atop Void/VS Code with modular features.
TL;DR: A practical, data-heavy setup guide to run Gemma 4 26B on an Apple Silicon Mac mini with Ollama, including auto-start, model preload, and keep-alive.
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