[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-75185":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":10,"languages":10,"totalLinesOfCode":10,"stars":11,"forks":12,"watchers":13,"openIssues":14,"contributorsCount":14,"subscribersCount":14,"size":14,"stars1d":15,"stars7d":16,"stars30d":17,"stars90d":14,"forks30d":14,"starsTrendScore":18,"compositeScore":19,"rankGlobal":10,"rankLanguage":10,"license":20,"archived":21,"fork":21,"defaultBranch":22,"hasWiki":21,"hasPages":21,"topics":23,"createdAt":10,"pushedAt":10,"updatedAt":26,"readmeContent":27,"aiSummary":28,"trendingCount":14,"starSnapshotCount":14,"syncStatus":29,"lastSyncTime":30,"discoverSource":31},75185,"llm-architecture-gallery","rasbt\u002Fllm-architecture-gallery","rasbt","LLM Architecture Gallery source data","https:\u002F\u002Fsebastianraschka.com\u002Fllm-architecture-gallery\u002F",null,1296,110,10,0,11,21,77,33,19.14,"Apache License 2.0",false,"main",[24,25],"ai","llms","2026-06-12 02:03:33","# LLM Architecture Gallery\n\nThis repository contains the source model metadata for the [LLM Architecture Gallery](https:\u002F\u002Fsebastianraschka.com\u002Fllm-architecture-gallery\u002F).\n\n\u003Cbr>\n\nLive gallery:\n- [sebastianraschka.com\u002Fllm-architecture-gallery](https:\u002F\u002Fsebastianraschka.com\u002Fllm-architecture-gallery\u002F)\n\n\u003Cbr>\n\nPreview:\n\n![LLM Architecture Gallery](https:\u002F\u002Fsebastianraschka.com\u002Fllm-architecture-gallery\u002Fimages\u002Fhero\u002Farchitecture-gallery-hero.webp)\n\n \n## Contents\n\n- [models.yml](models.yml): per-model metadata used by the gallery cards, including image paths, dates, fact-sheet fields, and related links.\n\n \n## Notes\n\nThis repository is intended as a lightweight public data export of the gallery metadata rather than the full website implementation.\n","LLM Architecture Gallery 是一个收集和展示大语言模型架构元数据的项目。其核心功能是提供了一个详细的在线画廊，通过 models.yml 文件存储每个模型的元数据，包括图像路径、发布日期、技术规格以及相关链接等信息，方便用户快速了解不同大语言模型的特点与区别。该项目适用于AI研究人员、开发者以及对大语言模型感兴趣的学习者，在需要比较分析各种现有大语言模型时尤为有用。",2,"2026-06-11 03:52:35","high_star"]