--- title: Running Gemma 4 Local AI | daily.dev description: A beginner-friendly walkthrough of running Google's Gemma 4 open AI model locally using LM Studio on a mid-range PC with integrated graphics (Ryzen 5 5600G, 16... canonical: https://daily.dev/posts/running-gemma-4-local-ai-mwamkyr98 twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Running Gemma 4 Local AI | daily.dev og:description: A beginner-friendly walkthrough of running Google's Gemma 4 open AI model locally using LM Studio on a mid-range PC with integrated graphics (Ryzen 5 5600G, 16... og:url: https://daily.dev/posts/running-gemma-4-local-ai-mwamkyr98 og:image: https://api.daily.dev/og/posts/MwAmkYR98.png og:image:alt: Running Gemma 4 Local AI 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. # Running Gemma 4 Local AI **[ExplainingComputers](https://daily.dev/sources/explainingcomputers)** · 22 min read · 0 upvotes · 0 comments ## Summary A beginner-friendly walkthrough of running Google's Gemma 4 open AI model locally using LM Studio on a mid-range PC with integrated graphics (Ryzen 5 5600G, 16 GB RAM, no dedicated GPU). Covers model size selection (12B vs E4B), quantization types (QAT vs PTQ), installation steps, performance tuning by disabling thinking mode, and practical demos including text generation, multilingual translation, image recognition, document summarization, and Python code generation. Compares 12B and E4B model performance, showing the smaller model runs roughly twice as fast but with reduced accuracy on harder tasks. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Google's free Gemma 4 model runs on hardware you probably already own](https://daily.dev/posts/google-s-free-gemma-4-model-runs-on-hardware-you-probably-already-own-u5po7zub9) · XDA Developers · 6 upvotes · 0 comments - [Google’s Gemma 4 shines on local systems – both big and small](https://daily.dev/posts/google-s-gemma-4-shines-on-local-systems-both-big-and-small-qpert58dk) · InfoWorld · 0 upvotes · 0 comments --- Tags: [#data-science](https://daily.dev/tags/data-science), [#llm](https://daily.dev/tags/llm), [#local-ai](https://daily.dev/tags/local-ai), [#gemma](https://daily.dev/tags/gemma), [#lm-studio](https://daily.dev/tags/lm-studio) [View this post on daily.dev](https://daily.dev/posts/running-gemma-4-local-ai-mwamkyr98) ```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":"Running Gemma 4 Local AI","url":"https://daily.dev/posts/running-gemma-4-local-ai-mwamkyr98","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/running-gemma-4-local-ai-mwamkyr98"},"datePublished":"2026-07-26T13:07:21.839Z","dateModified":"2026-07-29T15:43:28.810Z","description":"A beginner-friendly walkthrough of running Google's Gemma 4 open AI model locally using LM Studio on a mid-range PC with integrated graphics (Ryzen 5 5600G, 16...","image":"https://i.ytimg.com/vi/U6_ZbW97-GY/sddefault.jpg","thumbnailUrl":"https://i.ytimg.com/vi/U6_ZbW97-GY/sddefault.jpg","isAccessibleForFree":true,"articleSection":"ExplainingComputers","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"ExplainingComputers","logo":"https://media.daily.dev/image/upload/s--O-2FmnIy--/f_auto/v1711188308/logos/explainingcomputers","url":"https://daily.dev/sources/explainingcomputers"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/running-gemma-4-local-ai-mwamkyr98","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"data-science,llm,local-ai,gemma,lm-studio","timeRequired":"PT22M","video":{"@type":"VideoObject","name":"Running Gemma 4 Local AI","description":"A beginner-friendly walkthrough of running Google's Gemma 4 open AI model locally using LM Studio on a mid-range PC with integrated graphics (Ryzen 5 5600G, 16...","thumbnailUrl":"https://i.ytimg.com/vi/U6_ZbW97-GY/sddefault.jpg","uploadDate":"2026-07-26T13:07:21.839Z","duration":"PT22M","url":"https://api.daily.dev/r/MwAmkYR98","embedUrl":"https://www.youtube.com/embed/U6_ZbW97-GY"}} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"ExplainingComputers","item":"https://daily.dev/sources/explainingcomputers"},{"@type":"ListItem","position":3,"name":"Running Gemma 4 Local AI"}]} ```