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English(EN) Ternary Bonsai 2 (2B, 4B, and 9B) just released on Hugging Face. The 2B can run entirely locally in the browser at up to 500 tok/s on an M4 Max with custom WebGPU kernels.

Ternary Bonsai 2模型发布,2B版本可在浏览器中运行

Ternary Bonsai 2模型系列,包含2B、4B和9B参数版本,已在Hugging Face上发布。最小的2B模型能够完全在网页浏览器中运行,使用自定义WebGPU内核在M4 Max芯片上可达到每秒500个token的速度。此次发布为本地和基于浏览器的AI应用提供了新的选择。 AI

影响 为本地和基于浏览器的AI应用提供了一个新的、高效的模型。

排序理由 发布了一个新的开源模型系列,并附有性能细节。[lever_c_demoted from research: ic=1 ai=1.0]

在 r/LocalLLaMA 阅读 →

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

Ternary Bonsai 2模型发布,2B版本可在浏览器中运行

本文如何被排名

Signal score
11 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
发布了一个新的开源模型系列,并附有性能细节。[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, product
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
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/xenovatech ·

    Ternary Bonsai 2 (2B, 4B, and 9B) just released on Hugging Face. The 2B can run entirely locally in the browser at up to 500 tok/s on an M4 Max with custom WebGPU kernels.

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1x6w658/ternary_bonsai_2_2b_4b_and_9b_just_released_on/"> <img alt="Ternary Bonsai 2 (2B, 4B, and 9B) just released on Hugging Face. The 2B can run entirely locally in the browser at up to 500 tok/s on an M4 M…