English(EN) Ternary Bonsai 2 Family: 2B, 4B, & 9B based on Qwen 3.5

Ternary Bonsai 2 系列模型发布，基于 Qwen 3.5

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-15 21:45

Ternary Bonsai 2 是一个新系列语言模型，拥有 2B、4B 和 9B 参数规模，构建于 Qwen 3.5 架构之上。这些模型旨在可能提升标准 Qwen 3.5 模型的性能，特别是在内存和响应一致性等领域，解决了早期 Bonsai 模型中观察到的先前循环行为。Bonsai 2 系列需要一个特定的 llama.cpp 分支，并支持 dFlash、MTP 和 MLX 以增强性能。 AI

影响为本地部署提供比基础 Qwen 3.5 模型可能更优的性能和一致性。

排序理由基于现有架构发布新系列语言模型。[lever_c_demoted from research: ic=1 ai=1.0]

在 r/LocalLLaMA 阅读 →

模型发布

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: 13 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 基于现有架构发布新系列语言模型。[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; 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]

r/LocalLLaMA TIER_1 English(EN) · /u/tcarambat · 2026-10-15 21:45

Ternary Bonsai 2 Family: 2B, 4B, & 9B based on Qwen 3.5

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1x6yk1f/ternary_bonsai_2_family_2b_4b_9b_based_on_qwen_35/"> <img alt="Ternary Bonsai 2 Family: 2B, 4B, & 9B based on Qwen 3.5" src="https://external-preview.redd.it/OLvpP-gSQa58uq-CXUfnmxOtzd3My7-3lj1CQDS…

本文如何被排名

报道来源 [1]

Ternary Bonsai 2 Family: 2B, 4B, & 9B based on Qwen 3.5

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