Local-first: a Model on Your Own Machine, Zero Cloud
The article discusses a local-first model that operates entirely on personal hardware without relying on cloud services. It provides a detailed walkthrough for setting up an OpenAI-compatible endpoint using the Ollama framework. The post emphasizes the ability to run models locally for free, showcasing various model options based on available RAM.
- ▪The article is part of the Portway series, focusing on running AI models locally.
- ▪It includes a demo script that demonstrates a chat call via the OpenAI SDK.
- ▪The post highlights different model options based on the RAM available on the user's machine.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 182614) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Dale Nguyen Posted on May 30 • Originally published at dalenguyen.me Local-first: a Model on Your Own Machine, Zero Cloud #ai #python #ollama #llm This is the concrete, runnable walkthrough for Post 1 of the Portway series. The goal: stand up a single model behind an OpenAI-compatible endpoint on hardware you already own, call it from the official OpenAI SDK, and internalize the stateless contract. Everything here runs locally for $0.
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