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English(EN) OpenCSG has released Agentic-27B, a downloadable model for multi-step tool use built on the dense Qwen3.8-27B backbone, with 27.36 billion parameters in BF16. I

OpenCSG 发布 Agentic-27B 模型用于多步工具使用

OpenCSG 推出了 Agentic-27B,一个专为多步工具使用设计的新开源模型。该模型基于 Qwen3.8-27B 架构构建,拥有 273.6 亿参数,可在单个 80GB A800 GPU 上运行。它展示了性能的提升,在 103 项任务中通过了 74 项,比其前代模型的 11 项任务有了显著提高。 AI

影响 在单个 GPU 上实现更复杂的 AI 代理工作流,可能降低高级 AI 应用的门槛。

排序理由 发布具有特定功能和性能指标的新开源模型。[lever_c_demoted from research: ic=1 ai=1.0]

在 Mastodon — sigmoid.social 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

OpenCSG 发布 Agentic-27B 模型用于多步工具使用

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发布具有特定功能和性能指标的新开源模型。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    OpenCSG 发布 Agentic-27B,一个基于 Qwen3.8-27B 密集骨干、拥有 273.6 亿参数(BF16 格式)的可下载多步工具使用模型。

    OpenCSG has released Agentic-27B, a downloadable model for multi-step tool use built on the dense Qwen3.8-27B backbone, with 27.36 billion parameters in BF16. It runs on a single 80GB A800 using 51.1 GiB of weights, and 74 of 103 scored tasks passed all three attempts, against 11…