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Z.ai 发布 vLLM 1M 参数模型支持

来源: twitter关注列表
作者: Z.ai (@Zai_org)
发布于: 2026-06-16
收录于: 2026-06-16
AI 推荐理由
新增 GLM-5.2 与采集的版本对,系统评分提升至85,内容完整,不值得跳过。
核心解读
Z.ai 在 vLLM 中发布了支持 1M 一次性语料的模型,标题显示由 GLM-5.2 获批,具备满量通过性评判。对比 v5.2 优化长因子,兼顾工程可控与性能提升。
全文
Z.ai (@Zai_org) 转发了 vLLM (@vllm_project) 的帖子: 🎉 Day-0 support for in vLLM, available today in v0.23.0! Congrats to @Zai_org on GLM-5.2, a flagship model built for long-horizon coding agents. ✨ 1M-token context, built to hold project-scale engineering work in a single run ✨ Tuned for long-horizon coding: large-scale implementation, automated research, and performance optimization ✨ One task can carry a full dev workflow, from requirements to a deployable product across platforms ✨ Client-side and mobile engineering, including an on-device debugging loop Try it out running it on vLLM today: 🔗 https://t.co/tRduouqn6e https://video.twimg.com/amplify_video/2066950506791272448/vid/avc1/1920x1080/8t7HiCiLeiIjHZWE.mp4?tag=28 > **引用原帖 Z.ai (@Zai_org):** > Introducing GLM-5.2: Frontier Intelligence, Open Weights > - Significant improvements in coding and agentic tasks > - Strong long-horizon capabilities with a 1M context window > - Two levels of reasoning effort: GLM-5.2 (max) pushes the limits, while GLM-5.2 (high) strikes a strong balance between performance and token efficiency > - MIT-licensed open weights > - Same API pricing as GLM-5.1 > Tech Blog: https://t.co/LAsxUdN0JZ > Weights: https://t.co/g0A1C4UWx4 > API: https://t.co/Kc3E22cbN7 > Coding Plan: https://t.co/Nk8Y98HNhU > Chat: https://t.co/WCqWT0qCQb > https://x.com/Zai_org/status/2066938937344495629
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