MoonshotAI
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Kimi-K3
Kimi K3 is an open-weight, 2.8T-parameter native multimodal agentic model with a 1M-token context window, designed for frontier coding, knowledge work, and reasoning tasks.
AI 仓库情报摘要
FR-AI / ANALYSIS为什么值得关注
它为私有打包工作流提供了一个集中、版本化的分发点，使得跨不同应用-模组组合的发布可追溯。
适合谁使用
- 维护第三方应用模组的开发者
- 需要特定预打包模组应用版本的用户
- 需要发布资产仓库的打包工程师
典型使用场景
- 下载特定版本的修改版YouTube构建
- 跟踪给定应用和模组组合的可用包版本
- 通过发布标签模式自动获取资产
项目优势
- 清晰的层级发布标签格式便于识别
- 发布标题和文件名的一致性命名
- 公开访问原本私有的构建产物
使用前须知
- 未提供源代码或构建说明
- 仅来自私有工作流的发布，未记录自定义方法
- 仅有一个示例标签，支持的应用/模组范围不明确
README 快速开始
Releases
Public release assets produced by private packaging workflows.
Organization
Release tags follow this hierarchy:
MainApp/ModOrTweak/package-version-base-app-version
The first component is always the main app. The second component is the third-party mod or tweak, or the main app name for an unmodified package.
Current example:
YouTube/lowiqentity/5.21-21.30
Release titles and asset filenames identify the main app, base app version, package name, and package version.
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