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English(EN) H2O-Lightning-4B: Apache-2.0 4B Decision model, official #1 open model on JevBench (above Jev)

H2O.ai 发布 H2O-Lightning-4B,登顶 JevBench 排行榜

H2O.ai 发布了 H2O-Lightning-4B,这是一个为决策任务设计的开源权重模型。该模型基于 Qwen3.5-4B 并经过微调,在 JevBench 上取得了 72.5 的综合得分,超过了 Jevíčko 的得分,并在公开排行榜上名列第一的开源模型。该模型针对速度和成本效益进行了优化,仅需一次前向传播即可获得校准概率,无需生成 token,并根据 Apache Software License 2.0 发布。H2O.ai 计划在不久的将来发布更大的 12B 和 31B 版本。 AI

影响 为决策任务提供了更快、更便宜的替代方案,可能影响专业模型的开发和基准测试方式。

排序理由 发布了具有基准测试结果的新开源权重模型。[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 →

H2O.ai 发布 H2O-Lightning-4B,登顶 JevBench 排行榜

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
Tool
发布了具有基准测试结果的新开源权重模型。[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, 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
2 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/pseudotensor1234 ·

    H2O-Lightning-4B:Apache-2.0 4B决策模型,JevBench官方排名第一的开源模型(优于Jev)

    <!-- SC_OFF --><div class="md"><p>Disclosure: I work at H2O.ai.<br /> <br /> We released H2O-Lightning-4B, an open-weight (Apache-2.0) model for the &quot;decisions API&quot; style of inference that Jev made popular: you send a state plus typed questions (pick one / yes-no / scor…