{"skill":{"slug":"bitnet","displayName":"Skill","summary":"微软官方 1-bit LLM 推理框架，在 CPU 上运行 1.58-bit 量化大语言模型，速度提升 1.4-6x、能耗降低 55-82%，单 CPU 可运行 100B 参数模型，达到人类阅读速度","tags":{"latest":"0.1.0"},"stats":{"comments":0,"downloads":94,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":1},"createdAt":1776818508169,"updatedAt":1777527838129},"latestVersion":{"version":"0.1.0","createdAt":1776818508169,"changelog":"- 首个版本，集成微软官方 BitNet 1-bit LLM 高效 CPU 推理框架\n- 支持在消费级 x86/ARM CPU 上本地高效运行 1.58-bit 量化大语言模型\n- 提供端到端安装、模型下载、量化、推理及性能基准测试流程\n- 覆盖多模型格式，支持交互式对话、批量推理及多线程优化\n- 文档详尽，涵盖安装指引、疑难解答与核心用例","license":"MIT-0"},"metadata":null,"owner":{"handle":"cn-big-cabbage","userId":"s17dbd0j0kazk5ay31x9kv1z3n84f04v","displayName":"CN-big-cabbage","image":"https://avatars.githubusercontent.com/u/63539779?v=4"},"moderation":null}