[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"package:cask:lm-studio:en":3,"releases:stats:cask:lm-studio:en":348,"related:cask:lm-studio:en":349,"markdown:3:4047:1q7q9am":402},{"accentColor":4,"artifacts":5,"autoUpdates":42,"categories":43,"conflictsWith":50,"dependsOn":53,"deprecated":46,"description":67,"descriptionEn":68,"developer":69,"disabled":46,"displayName":70,"downloadSha256":71,"downloadSize":72,"downloadUrl":73,"editorChoice":46,"formulaeUrl":74,"homepage":75,"iconUrl":76,"installCommand":77,"installs":78,"installs30d":79,"isFont":46,"isLibrary":46,"kegOnly":46,"kind":82,"latestRelease":83,"machineTranslated":46,"minMacos":66,"name":70,"names":100,"platforms":102,"primaryCategory":319,"rank30d":320,"releaseCount":321,"releaseStats":322,"screenshots":328,"sourceLocale":94,"sourceUrl":336,"summary":337,"summaryTranslation":338,"supports":339,"tags":341,"tap":346,"token":101,"version":139,"versionChangedAt":347},"#5831CE",{"apps":6,"binaries":8,"entries":9,"pkgs":41},[7],"LM Studio.app",[],[10,19,26],{"declaration":11,"phase":17,"sources":18,"type":17},{"uninstall":12},[13],{"quit":14},[15,16],"ai.elementlabs.lmstudio","ai.elementlabs.lmstudio.helper","uninstall",[],{"declaration":20,"phase":23,"sources":24,"target":22,"type":25},{"app":21,"target":22},[7],"\u002FApplications\u002FLM Studio.app","install",[7],"app",{"declaration":27,"phase":38,"sources":39,"type":40},{"zap":28},[29],{"trash":30},[31,32,33,34,35,36,37],"~\u002FLibrary\u002FApplication Support\u002FLM Studio","~\u002FLibrary\u002FCaches\u002Fai.elementlabs.lmstudio","~\u002FLibrary\u002FCaches\u002Fai.elementlabs.lmstudio.ShipIt","~\u002FLibrary\u002FHTTPStorages\u002Fai.elementlabs.lmstudio","~\u002FLibrary\u002FLogs\u002FLM Studio","~\u002FLibrary\u002FPreferences\u002Fai.elementlabs.lmstudio.plist","~\u002FLibrary\u002FSaved Application State\u002Fai.elementlabs.lmstudio.savedState","cleanup",[],"zap",[],true,[44],{"icon":45,"machineTranslated":46,"name":47,"slug":48,"sourceLocale":49},"lucide:sparkles",false,"AI Tools","ai","zh-CN",{"casks":51,"formulae":52},[],[],{"arch":54,"casks":56,"formulae":57,"macos":58,"requirements":59},[55],"arm64",[],[],">= 12",{"arch":60,"macos":64},[61],{"bits":62,"type":63},64,"arm",{">=":65},[66],"12","LM Studio is a desktop application for discovering, downloading and running language models on your own computer. It suits people experimenting with local AI, document conversations and developers building applications around a local inference server. This cask installs LM Studio, not the separately offered Bionic agent or the headless llmster daemon.\n\n## Features\n- Find and download compatible model weights, or import models obtained elsewhere.\n- Chat with loaded models and organize conversations; attach documents for local retrieval workflows.\n- Run a local inference server with OpenAI-compatible interfaces and LM Studio's own REST API.\n- Configure model loading and inference, with llama.cpp and MLX runtimes where supported.\n- Use developer tools and local MCP integrations; the 0.4 interface supports split-view chats and exporting conversations.\n- Run concurrent requests with compatible llama.cpp runtimes and suitable memory resources.\n\n## Install and get started\nInstall `brew install --cask lm-studio`, or download the official Apple Silicon DMG and move LM Studio into Applications. Open Discover to obtain a suitable model, select it in the Chat model loader, then start a conversation. The installer does not include every model: model weights and runtimes require additional downloads and disk space. Choose smaller models\u002Fcontext sizes if memory is limited.\n\n## Requirements, dependencies and conflicts\nThe vendor currently requires Apple Silicon and macOS14 or newer; Intel Macs are not supported. 16GB or more RAM is recommended, though smaller models with modest contexts may work on 8GB Macs. The recorded Homebrew cask has an older macOS12 minimum and ARM64 dependency; use the vendor's stricter requirement instead of assuming macOS12\u002F13 compatibility. Its raw record does not declare formula dependencies or cask conflicts. Runtimes and compatible model files are required for inference; this is separate from Homebrew package dependencies. Splash support introduced in0.4.25 specifically requires M3 or newer and macOS26.4 or newer, rather than changing the requirements for every engine.\n\nWindows editions support x64 with AVX2 and ARM Snapdragon X Elite systems; the vendor recommends at least16GB RAM and4GB dedicated VRAM. The current requirements page does not specify a precise Windows OS minimum. Linux editions support x64\u002FARM64, distributed as AppImage; Ubuntu20.04 or later is documented, with releases newer than22 described as less tested. x64 builds use AVX2. No official Android\u002FiOS desktop-app edition is established. Memory and storage needs depend on models and context lengths; installer size is not installed size or model size.\n\n## Offline use, accounts, cost and license\nDownloaded models, local document processing and the local server can operate offline. Model discovery\u002Fdownloads, runtime downloads and app updates require connectivity. Connecting cloud services or external MCP tools can introduce separate network\u002Fdata flows; local operation does not make all integrations offline.\n\nThe app is proprietary software from Element Labs, Inc.; an open-model runtime or an open-source SDK does not make the desktop app open source. Terms permit personal and internal business use, while downloaded models retain their own licenses. Local model use is offered without a paid cloud plan. The vendor separately sells Bionic cloud subscriptions and usage credits; these are optional services, not a requirement to install this cask. Offline local inference does not depend on a cloud account; Hub, LM Link or paid online features may require sign-in. Consult current terms\u002Fpricing for online service allowances and billing.\n\nReferences: [Download](https:\u002F\u002Flmstudio.ai\u002Fdownload), [Getting started](https:\u002F\u002Flmstudio.ai\u002Fdocs\u002Fapp\u002Fbasics), [System requirements](https:\u002F\u002Flmstudio.ai\u002Fdocs\u002Fapp\u002Fsystem-requirements), [Offline operation](https:\u002F\u002Flmstudio.ai\u002Fdocs\u002Fapp\u002Foffline), [0.4 overview](https:\u002F\u002Flmstudio.ai\u002Fblog\u002F0.4.0), [App terms](https:\u002F\u002Flmstudio.ai\u002Fapp-terms), [Pricing](https:\u002F\u002Flmstudio.ai\u002Fpricing).","Discover, download, and run local LLMs","Element Labs, Inc.","LM Studio","8bab857c3d2900e14ab46435f0d1471de068f165e761bb9c177093e8a25e1774",569866427,"https:\u002F\u002Finstallers.lmstudio.ai\u002Fdarwin\u002Farm64\u002F0.4.25-1\u002FLM-Studio-0.4.25-1-arm64.dmg","https:\u002F\u002Fformulae.brew.sh\u002Fcask\u002Flm-studio","https:\u002F\u002Flmstudio.ai\u002F","https:\u002F\u002Fcdn.opennavo.com\u002Ficons\u002Fuploads\u002Fa8888c7697b9\u002F3773c2c2993e-256.png","brew install --cask lm-studio",{"d30":79,"d365":80,"d90":81},3143,54758,13910,"cask",{"bodyMarkdown":84,"brewCommittedAt":85,"hasNotes":42,"id":86,"isLatest":42,"isPrerelease":46,"machineTranslated":46,"publishedAt":87,"sections":88,"source":93,"sourceLocale":94,"summary":95,"title":96,"translation":97,"version":99},"## LM Studio 0.4.25 — Build1\n\n- Use the Splash engine on Apple Silicon M3 or newer with macOS26.4+.\n\nThese are the changes documented for this release. The Mac cask installer build is1.\n\n[Official version notes](https:\u002F\u002Flmstudio.ai\u002Fchangelog\u002Flmstudio\u002Flmstudio-v0.4.25).","2026-09-19T07:15:00Z",593,"0001-01-01T00:00:00Z",[89],{"area":90,"items":91},"Changes",[92],"Use the Splash engine on Apple Silicon M3 or newer with macOS26.4+.","editorial","en-US","Splash engine support on newer Apple Silicon Macs.","LM Studio 0.4.25 — Build1",{"locale":94,"machineTranslated":46,"sourceLocale":94,"status":98},"source","0.4.25",[70,101],"lm-studio",[103,140,176,212,248,284],{"arch":55,"artifacts":104,"conflictsWith":125,"dependsOn":128,"downloadSha256":71,"downloadUrl":73,"macos":137,"minMacos":66,"requiresRosetta":46,"tag":138,"version":139},{"apps":105,"binaries":106,"entries":107,"pkgs":124},[7],[],[108,114,118],{"declaration":109,"phase":17,"sources":113,"type":17},{"uninstall":110},[111],{"quit":112},[15,16],[],{"declaration":115,"phase":23,"sources":117,"target":22,"type":25},{"app":116,"target":22},[7],[7],{"declaration":119,"phase":38,"sources":123,"type":40},{"zap":120},[121],{"trash":122},[31,32,33,34,35,36,37],[],[],{"casks":126,"formulae":127},[],[],{"arch":129,"casks":130,"formulae":131,"macos":58,"requirements":132},[55],[],[],{"arch":133,"macos":135},[134],{"bits":62,"type":63},{">=":136},[66],"27","arm64_golden_gate","0.4.25,1",{"arch":55,"artifacts":141,"conflictsWith":162,"dependsOn":165,"downloadSha256":71,"downloadUrl":73,"macos":174,"minMacos":66,"requiresRosetta":46,"tag":175,"version":139},{"apps":142,"binaries":143,"entries":144,"pkgs":161},[7],[],[145,151,155],{"declaration":146,"phase":17,"sources":150,"type":17},{"uninstall":147},[148],{"quit":149},[15,16],[],{"declaration":152,"phase":23,"sources":154,"target":22,"type":25},{"app":153,"target":22},[7],[7],{"declaration":156,"phase":38,"sources":160,"type":40},{"zap":157},[158],{"trash":159},[31,32,33,34,35,36,37],[],[],{"casks":163,"formulae":164},[],[],{"arch":166,"casks":167,"formulae":168,"macos":58,"requirements":169},[55],[],[],{"arch":170,"macos":172},[171],{"bits":62,"type":63},{">=":173},[66],"26","arm64_tahoe",{"arch":55,"artifacts":177,"conflictsWith":198,"dependsOn":201,"downloadSha256":71,"downloadUrl":73,"macos":210,"minMacos":66,"requiresRosetta":46,"tag":211,"version":139},{"apps":178,"binaries":179,"entries":180,"pkgs":197},[7],[],[181,187,191],{"declaration":182,"phase":17,"sources":186,"type":17},{"uninstall":183},[184],{"quit":185},[15,16],[],{"declaration":188,"phase":23,"sources":190,"target":22,"type":25},{"app":189,"target":22},[7],[7],{"declaration":192,"phase":38,"sources":196,"type":40},{"zap":193},[194],{"trash":195},[31,32,33,34,35,36,37],[],[],{"casks":199,"formulae":200},[],[],{"arch":202,"casks":203,"formulae":204,"macos":58,"requirements":205},[55],[],[],{"arch":206,"macos":208},[207],{"bits":62,"type":63},{">=":209},[66],"15","arm64_sequoia",{"arch":55,"artifacts":213,"conflictsWith":234,"dependsOn":237,"downloadSha256":71,"downloadUrl":73,"macos":246,"minMacos":66,"requiresRosetta":46,"tag":247,"version":139},{"apps":214,"binaries":215,"entries":216,"pkgs":233},[7],[],[217,223,227],{"declaration":218,"phase":17,"sources":222,"type":17},{"uninstall":219},[220],{"quit":221},[15,16],[],{"declaration":224,"phase":23,"sources":226,"target":22,"type":25},{"app":225,"target":22},[7],[7],{"declaration":228,"phase":38,"sources":232,"type":40},{"zap":229},[230],{"trash":231},[31,32,33,34,35,36,37],[],[],{"casks":235,"formulae":236},[],[],{"arch":238,"casks":239,"formulae":240,"macos":58,"requirements":241},[55],[],[],{"arch":242,"macos":244},[243],{"bits":62,"type":63},{">=":245},[66],"14","arm64_sonoma",{"arch":55,"artifacts":249,"conflictsWith":270,"dependsOn":273,"downloadSha256":71,"downloadUrl":73,"macos":282,"minMacos":66,"requiresRosetta":46,"tag":283,"version":139},{"apps":250,"binaries":251,"entries":252,"pkgs":269},[7],[],[253,259,263],{"declaration":254,"phase":17,"sources":258,"type":17},{"uninstall":255},[256],{"quit":257},[15,16],[],{"declaration":260,"phase":23,"sources":262,"target":22,"type":25},{"app":261,"target":22},[7],[7],{"declaration":264,"phase":38,"sources":268,"type":40},{"zap":265},[266],{"trash":267},[31,32,33,34,35,36,37],[],[],{"casks":271,"formulae":272},[],[],{"arch":274,"casks":275,"formulae":276,"macos":58,"requirements":277},[55],[],[],{"arch":278,"macos":280},[279],{"bits":62,"type":63},{">=":281},[66],"13","arm64_ventura",{"arch":55,"artifacts":285,"conflictsWith":306,"dependsOn":309,"downloadSha256":71,"downloadUrl":73,"macos":66,"minMacos":66,"requiresRosetta":46,"tag":318,"version":139},{"apps":286,"binaries":287,"entries":288,"pkgs":305},[7],[],[289,295,299],{"declaration":290,"phase":17,"sources":294,"type":17},{"uninstall":291},[292],{"quit":293},[15,16],[],{"declaration":296,"phase":23,"sources":298,"target":22,"type":25},{"app":297,"target":22},[7],[7],{"declaration":300,"phase":38,"sources":304,"type":40},{"zap":301},[302],{"trash":303},[31,32,33,34,35,36,37],[],[],{"casks":307,"formulae":308},[],[],{"arch":310,"casks":311,"formulae":312,"macos":58,"requirements":313},[55],[],[],{"arch":314,"macos":316},[315],{"bits":62,"type":63},{">=":317},[66],"arm64_monterey",{"icon":45,"machineTranslated":46,"name":47,"slug":48,"sourceLocale":49},63,80,{"brewLag":323,"cadence":327,"count30d":325},{"compared":324,"earlierCount":325,"medianMinutes":326},3,0,153722867,"weekly",[329],{"caption":330,"height":331,"machineTranslated":46,"sourceLocale":94,"theme":332,"thumbUrl":333,"url":334,"width":335},"Official Mac documentation example: local chat with Phi3.1; historical LM Studio0.3.2 interface, not0.4.25.",867,"dark","https:\u002F\u002Fcdn.opennavo.com\u002Fscreenshots\u002Fuploads\u002Fscreenshot\u002Fea9e66ddea02\u002F2c9ba93c872c-640.png","https:\u002F\u002Fcdn.opennavo.com\u002Fscreenshots\u002Fuploads\u002Fscreenshot\u002Fea9e66ddea02\u002F2c9ba93c872c-1280.png",1280,"https:\u002F\u002Fgithub.com\u002Fhomebrew\u002Fhomebrew-cask\u002Fblob\u002FHEAD\u002FCasks\u002Fl\u002Flm-studio.rb","Desktop app for discovering and running local language models, chatting with documents and serving developer APIs through compatible model runtimes.",{"locale":94,"machineTranslated":46,"sourceLocale":94,"status":98},{"arm64":42,"requiresRosetta":46,"status":340,"x86_64":46},"known",[70,342,343,344,345],"LLM","GGUF","MLX","MCP","homebrew\u002Fcask","2026-10-07T09:38:37.849603Z",null,[350,360,370,381,391],{"autoUpdates":42,"deprecated":46,"disabled":46,"displayName":351,"editorChoice":46,"iconUrl":352,"installs30d":353,"isFont":46,"isLibrary":46,"kind":82,"machineTranslated":46,"name":351,"primaryCategory":354,"rank30d":355,"sourceLocale":94,"summary":356,"token":357,"version":358,"versionChangedAt":359},"Ollama","https:\u002F\u002Fcdn.opennavo.com\u002Ficons\u002Fuploads\u002Ff26f913f8d49\u002F4a9d3d218378-256.png",4766,{"icon":45,"machineTranslated":46,"name":47,"slug":48,"sourceLocale":49},42,"Desktop chat, CLI and local API for running and managing supported AI models, with model-specific hardware requirements and optional cloud services.","ollama-app","0.40.1","2026-10-08T07:10:41.014494Z",{"autoUpdates":42,"deprecated":46,"disabled":46,"displayName":361,"editorChoice":46,"iconUrl":362,"installs30d":363,"isFont":46,"isLibrary":46,"kind":82,"machineTranslated":46,"name":361,"primaryCategory":364,"rank30d":365,"sourceLocale":94,"summary":366,"token":367,"version":368,"versionChangedAt":369},"ChatGPT","https:\u002F\u002Fcdn.opennavo.com\u002Ficons\u002Fuploads\u002F6025a4347a8e\u002F84172cac00bb-256.png",7510,{"icon":45,"machineTranslated":46,"name":47,"slug":48,"sourceLocale":49},27,"OpenAI desktop workspace for ChatGPT conversations, research and deliverables in Work, and Codex development with projects, local files, and supported integrations.","chatgpt","26.1002.52244","2026-10-07T11:00:22.318452Z",{"accentColor":371,"autoUpdates":42,"deprecated":46,"disabled":46,"displayName":372,"editorChoice":46,"iconUrl":373,"installs30d":374,"isFont":46,"isLibrary":46,"kind":82,"machineTranslated":46,"name":372,"primaryCategory":375,"rank30d":376,"sourceLocale":94,"summary":377,"token":378,"version":379,"versionChangedAt":380},"#408DF2","Gemini","https:\u002F\u002Fcdn.opennavo.com\u002Ficons\u002Fuploads\u002Ff39c8b1c0dbd\u002F712ce08f002d-256.png",1270,{"icon":45,"machineTranslated":46,"name":47,"slug":48,"sourceLocale":49},145,"Google’s native online AI assistant for Apple Silicon Macs, with quick desktop chat, file analysis and optional window context.","google-gemini","1.128.2.1001","2026-10-07T09:38:36.653349Z",{"accentColor":382,"autoUpdates":42,"deprecated":46,"disabled":46,"displayName":383,"editorChoice":46,"iconUrl":384,"installs30d":385,"isFont":46,"isLibrary":46,"kind":82,"machineTranslated":46,"name":383,"primaryCategory":386,"rank30d":387,"sourceLocale":94,"summary":388,"token":389,"version":390,"versionChangedAt":347},"#9046FF","Kiro CLI","https:\u002F\u002Fcdn.opennavo.com\u002Ficons\u002Fuploads\u002Feaf4e3a56ad0\u002F9ce43f675508-256.png",859,{"icon":45,"machineTranslated":46,"name":47,"slug":48,"sourceLocale":49},188,"Amazon’s terminal AI development assistant with project context, agents, hooks and approved local tools; hosted model access requires sign-in and plan credits.","kiro-cli","2.28.0",{"accentColor":392,"autoUpdates":42,"deprecated":46,"disabled":46,"displayName":393,"editorChoice":46,"iconUrl":394,"installs30d":395,"isFont":46,"isLibrary":46,"kind":82,"machineTranslated":46,"name":393,"primaryCategory":396,"rank30d":397,"sourceLocale":94,"summary":398,"token":399,"version":400,"versionChangedAt":401},"#DA7757","Claude","https:\u002F\u002Fcdn.opennavo.com\u002Ficons\u002Fuploads\u002F7241633e5a39\u002F45e8db9dc147-256.png",10223,{"icon":45,"machineTranslated":46,"name":47,"slug":48,"sourceLocale":49},17,"Anthropic’s desktop app for AI conversations, writing, research, local-tool integrations, and eligible Claude Code and Cowork workflows.","claude","2.26454.2,75afdd18501b9670ae33bfb7c0cd88567ce76994","2026-10-07T19:30:22.276893Z","\u003Cp>LM Studio is a desktop application for discovering, downloading and running language models on your own computer. It suits people experimenting with local AI, document conversations and developers building applications around a local inference server. This cask installs LM Studio, not the separately offered Bionic agent or the headless llmster daemon.\u003C\u002Fp>\n\u003Ch3 class=\"on-md-heading-1\">Features\u003C\u002Fh3>\n\u003Cul>\n\u003Cli>Find and download compatible model weights, or import models obtained elsewhere.\u003C\u002Fli>\n\u003Cli>Chat with loaded models and organize conversations; attach documents for local retrieval workflows.\u003C\u002Fli>\n\u003Cli>Run a local inference server with OpenAI-compatible interfaces and LM Studio's own REST API.\u003C\u002Fli>\n\u003Cli>Configure model loading and inference, with llama.cpp and MLX runtimes where supported.\u003C\u002Fli>\n\u003Cli>Use developer tools and local MCP integrations; the 0.4 interface supports split-view chats and exporting conversations.\u003C\u002Fli>\n\u003Cli>Run concurrent requests with compatible llama.cpp runtimes and suitable memory resources.\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch3 class=\"on-md-heading-1\">Install and get started\u003C\u002Fh3>\n\u003Cp>Install \u003Ccode>brew install --cask lm-studio\u003C\u002Fcode>, or download the official Apple Silicon DMG and move LM Studio into Applications. Open Discover to obtain a suitable model, select it in the Chat model loader, then start a conversation. The installer does not include every model: model weights and runtimes require additional downloads and disk space. Choose smaller models\u002Fcontext sizes if memory is limited.\u003C\u002Fp>\n\u003Ch3 class=\"on-md-heading-1\">Requirements, dependencies and conflicts\u003C\u002Fh3>\n\u003Cp>The vendor currently requires Apple Silicon and macOS14 or newer; Intel Macs are not supported. 16GB or more RAM is recommended, though smaller models with modest contexts may work on 8GB Macs. The recorded Homebrew cask has an older macOS12 minimum and ARM64 dependency; use the vendor's stricter requirement instead of assuming macOS12\u002F13 compatibility. Its raw record does not declare formula dependencies or cask conflicts. Runtimes and compatible model files are required for inference; this is separate from Homebrew package dependencies. Splash support introduced in0.4.25 specifically requires M3 or newer and macOS26.4 or newer, rather than changing the requirements for every engine.\u003C\u002Fp>\n\u003Cp>Windows editions support x64 with AVX2 and ARM Snapdragon X Elite systems; the vendor recommends at least16GB RAM and4GB dedicated VRAM. The current requirements page does not specify a precise Windows OS minimum. Linux editions support x64\u002FARM64, distributed as AppImage; Ubuntu20.04 or later is documented, with releases newer than22 described as less tested. x64 builds use AVX2. No official Android\u002FiOS desktop-app edition is established. Memory and storage needs depend on models and context lengths; installer size is not installed size or model size.\u003C\u002Fp>\n\u003Ch3 class=\"on-md-heading-1\">Offline use, accounts, cost and license\u003C\u002Fh3>\n\u003Cp>Downloaded models, local document processing and the local server can operate offline. Model discovery\u002Fdownloads, runtime downloads and app updates require connectivity. Connecting cloud services or external MCP tools can introduce separate network\u002Fdata flows; local operation does not make all integrations offline.\u003C\u002Fp>\n\u003Cp>The app is proprietary software from Element Labs, Inc.; an open-model runtime or an open-source SDK does not make the desktop app open source. Terms permit personal and internal business use, while downloaded models retain their own licenses. Local model use is offered without a paid cloud plan. The vendor separately sells Bionic cloud subscriptions and usage credits; these are optional services, not a requirement to install this cask. Offline local inference does not depend on a cloud account; Hub, LM Link or paid online features may require sign-in. Consult current terms\u002Fpricing for online service allowances and billing.\u003C\u002Fp>\n\u003Cp>References: \u003Ca href=\"https:\u002F\u002Flmstudio.ai\u002Fdownload\" target=\"_blank\" rel=\"noopener noreferrer\">Download\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Flmstudio.ai\u002Fdocs\u002Fapp\u002Fbasics\" target=\"_blank\" rel=\"noopener noreferrer\">Getting started\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Flmstudio.ai\u002Fdocs\u002Fapp\u002Fsystem-requirements\" target=\"_blank\" rel=\"noopener noreferrer\">System requirements\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Flmstudio.ai\u002Fdocs\u002Fapp\u002Foffline\" target=\"_blank\" rel=\"noopener noreferrer\">Offline operation\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Flmstudio.ai\u002Fblog\u002F0.4.0\" target=\"_blank\" rel=\"noopener noreferrer\">0.4 overview\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Flmstudio.ai\u002Fapp-terms\" target=\"_blank\" rel=\"noopener noreferrer\">App terms\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Flmstudio.ai\u002Fpricing\" target=\"_blank\" rel=\"noopener noreferrer\">Pricing\u003C\u002Fa>.\u003C\u002Fp>\n"]