--- title: 16GB Mac Mini M4 Runs Local LLMs + Pi Coding Agent FAST description: A hands-on demonstration of running a local LLM (Qwen 3.5 9B) on a 16GB Apple Mac Mini M4 using LM Studio, connected to the Pi coding agent. The video covers... canonical: https://daily.dev/posts/16gb-mac-mini-m4-runs-local-llms-pi-coding-agent-fast-illyuvrmh twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: 16GB Mac Mini M4 Runs Local LLMs + Pi Coding Agent FAST | daily.dev og:description: A hands-on demonstration of running a local LLM (Qwen 3.5 9B) on a 16GB Apple Mac Mini M4 using LM Studio, connected to the Pi coding agent. The video covers... og:url: https://daily.dev/posts/16gb-mac-mini-m4-runs-local-llms-pi-coding-agent-fast-illyuvrmh og:image: https://api.daily.dev/og/posts/ILLYuVRMh.png og:image:alt: 16GB Mac Mini M4 Runs Local LLMs + Pi Coding Agent FAST og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # 16GB Mac Mini M4 Runs Local LLMs + Pi Coding Agent FAST **[Execute Automation](https://daily.dev/sources/executeautomation)** · 12 min read · 0 upvotes · 0 comments ## Summary A hands-on demonstration of running a local LLM (Qwen 3.5 9B) on a 16GB Apple Mac Mini M4 using LM Studio, connected to the Pi coding agent. The video covers setup configuration, memory constraints, and practical coding tasks like updating a login page. With only 16GB RAM, the machine can handle the 6GB model but struggles with larger ones. The author recommends sticking to smaller models for coding tasks and notes the Mac Mini handles memory pressure better than comparable Windows machines. For 24/7 AI assistant use cases like Hermes or OpenClaw, the machine performs well when connecting to cloud models as the backend. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Running local models on an M4 with 24GB memory](https://daily.dev/posts/running-local-models-on-an-m4-with-24gb-memory-iezpeho6j) · Hacker News · 4 upvotes · 0 comments - [Viability of local models for coding](https://daily.dev/posts/viability-of-local-models-for-coding-1cgbfrvir) · Martin Fowler · 0 upvotes · 0 comments - [The Mac mini just became infrastructure](https://daily.dev/posts/the-mac-mini-just-became-infrastructure-rovi66hgt) · The New Stack · 0 upvotes · 0 comments --- Tags: [#local-ai](https://daily.dev/tags/local-ai), [#qwen](https://daily.dev/tags/qwen), [#lm-studio](https://daily.dev/tags/lm-studio) [View this post on daily.dev](https://daily.dev/posts/16gb-mac-mini-m4-runs-local-llms-pi-coding-agent-fast-illyuvrmh) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"16GB Mac Mini M4 Runs Local LLMs + Pi Coding Agent FAST","url":"https://daily.dev/posts/16gb-mac-mini-m4-runs-local-llms-pi-coding-agent-fast-illyuvrmh","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/16gb-mac-mini-m4-runs-local-llms-pi-coding-agent-fast-illyuvrmh"},"datePublished":"2026-07-17T06:52:41.369Z","dateModified":"2026-07-17T06:52:59.230Z","description":"A hands-on demonstration of running a local LLM (Qwen 3.5 9B) on a 16GB Apple Mac Mini M4 using LM Studio, connected to the Pi coding agent. 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