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全新开源 100B 参数模型可在笔记本上运行

Ate-a-Pi@svpino
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Why we picked it

100B 参数的开源模型只要 29GB 内存就能在笔记本跑，号称 Terminal-Bench 2.1 成绩超过 Claude Opus 4.6。想本地部署编程模型的开发者可以关注下实测，毕竟不用云端调用省了不少成本。

一条新发布的开源权重模型，参数量达到 100B，据称可以直接在笔记本电脑上运行，主打场景是 vibe coding。官方给出的关键指标显示，该模型仅需 29GB 内存即可运行，对一个 100B 参数量的模型来说相当紧凑。

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在基准测试方面，发布方称该模型在 Terminal-Bench 2.1 上的成绩超过了 Claude Opus 4.6。如果数据属实，意味着开源权重模型在终端/编程类任务上首次在该基准上压过顶级闭源模型。

对开发者而言，29GB 内存门槛意味着无需多卡 GPU 服务器，本地即可跑百亿级编程模型，这会改变本地部署编程助手的成本结构，与需要云端调用的闭源模型形成明显差异化。

Original · Ate-a-Pi

A new open-weight 100B-parameter model that runs on your laptop.

It's fast and good enough for vibe coding.

They shared a few metrics that look pretty impressive:

• Only needs 29GB of RAM, which is good for a 100B model • Beats Claude Opus 4.6 on Terminal-Bench 2.1

Industry Coordinates & Source Verification

This report is categorized under AITOP's "Models" desk. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include 开源模型, Terminal-Bench, vibe coding, 本地部署.

Source attribution: curated from Ate-a-Pi (@svpino).

#开源模型#Terminal-Bench#vibe coding#本地部署

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