English(EN) Ternary Bonsai 2 (27B) just released on Hugging Face. At <6GB in size, it can even run locally in-browser on WebGPU.

Ternary Bonsai 2 (27B) 发布，可在浏览器中本地运行

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-17 21:05

Ternary Bonsai 2，一个拥有270亿参数的语言模型，已在 Hugging Face 上发布。该模型源自 Qwen3.8-27B，并采用三元权重，使其大小小于6GB，比其 FP16 版本小9倍，同时保持了98.2%的智能水平。该模型能够使用 WebGPU 在网页浏览器中本地运行。 AI

影响使得强大的语言模型能够在消费级硬件和浏览器中运行。

排序理由发布了一个采用新颖压缩技术的新语言模型。 [lever_c_demoted from research: ic=1 ai=1.0]

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

本文如何被排名

Signal score: 2 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 发布了一个采用新颖压缩技术的新语言模型。 [lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: model release, infra; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Same-day; Cluster formed today. Ranking reflects the current source set at time of score.

完整方法见我们的编辑标准。

r/LocalLLaMA TIER_1 English(EN) · /u/xenovatech · 2026-09-17 21:05

Ternary Bonsai 2 (27B) 已在 Hugging Face 上发布。体积<6GB，甚至可以在 WebGPU 上在浏览器本地运行。

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wj6c4l/ternary_bonsai_2_27b_just_released_on_hugging/"> <img alt="Ternary Bonsai 2 (27B) just released on Hugging Face. At <6GB in size, it can even run locally in-browser on WebGPU." src="https://external…