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English(EN) Aplomb 1: open-weights 5.3B decision model, 1M context, text/image/video/audio in one request, #1 among 4B models on the Decision Index

EmpirioLabsAI 发布 Aplomb 1,一款拥有 1M 上下文的 5.3B 决策模型

EmpirioLabsAI 发布了 Aplomb 1,这是一款开放权重的决策模型,拥有 53 亿参数。该模型拥有 100 万 token 的上下文窗口,并能在单次请求中处理文本、图像、视频和音频。在决策指数的 8 项基准测试中,包括 MMLU-Pro 和 GPQA Diamond,它在高达 53 亿参数的模型中取得了最高分。Aplomb 1 基于 Qwen3.5-4B 和 Qwen3-Omni-30B-A3B-Instruct 构建,并扩展了其上下文窗口和训练了决策头。 AI

影响 为具有长上下文能力的多模态决策模型树立了新标杆。

排序理由 前沿实验室模型发布,系统卡 [lever_c 从 frontier_release 降级: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 →

EmpirioLabsAI 发布 Aplomb 1,一款拥有 1M 上下文的 5.3B 决策模型

本文如何被排名

Signal score
3 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
前沿实验室模型发布,系统卡 [lever_c 从 frontier_release 降级: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/empiriolabsai ·

    Aplomb 1:开源的 5.3B 决策模型,1M 上下文,一次请求支持文本/图像/视频/音频,在决策指数中排名 4B 模型第一

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wz96qs/aplomb_1_openweights_53b_decision_model_1m/"> <img alt="Aplomb 1: open-weights 5.3B decision model, 1M context, text/image/video/audio in one request, #1 among 4B models on the Decision Index" src="htt…