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English(EN) Decision 3.0: open, multimodal decision models from 0.6B to 27B. Ranks #1 on both Jev Decision Index boards

Decision 3.0 模型在 Jev Decision Index 上取得最高排名

vLLM Semantic Router 团队发布了 Decision 3.0 (d3),这是一个新的开放的、多模态的决策模型系列。这些模型的规模从 6 亿到 270 亿参数不等,基于 Qwen3.5 和 Qwen3.8-27B 架构构建。Decision 3.0 模型可以处理文本和图像,部分版本还能分析视频输入。它们专为选择、是/否或评分等特定决策任务设计,输出概率而不生成文本。其中 27B 模型在 Jev Decision Index 的两个榜单上均取得了最高排名,在文本和视觉任务上均超越了所有其他列出的模型。 AI

影响 为开源多模态决策模型树立了新标杆,可能影响未来人工智能驱动的决策研究和应用。

排序理由 知名研究团队发布新的开源多模态模型。[lever_c_demoted from frontier_release: 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 →

Decision 3.0 模型在 Jev Decision Index 上取得最高排名

本文如何被排名

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
知名研究团队发布新的开源多模态模型。[lever_c_demoted from frontier_release: 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
1 days old
Coverage has settled into its steady-state source set.

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/henzy123 ·

    Decision 3.0:开放式、多模态决策模型,规模从 0.6B 到 27B。在 Jev Decision Index 两项榜单上均排名第一

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1x3th4p/decision_30_open_multimodal_decision_models_from/"> <img alt="Decision 3.0: open, multimodal decision models from 0.6B to 27B. Ranks #1 on both Jev Decision Index boards" src="https://preview.redd.it/4…