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H2O.ai releases H2O-Lightning-4B, topping JevBench leaderboard

H2O.ai has released H2O-Lightning-4B, an open-weight model designed for decision-making tasks. This model, based on Qwen3.5-4B and fine-tuned, achieves a composite score of 72.5 on the JevBench, surpassing Jevíčko's score and ranking as the top open model on the public leaderboard. The model is optimized for speed and cost-efficiency, requiring only a single forward pass for calibrated probabilities without generating tokens, and is available under the Apache Software License 2.0. H2O.ai plans to release larger 12B and 31B versions in the near future. AI

IMPACT Offers a faster, cheaper alternative for decision-making tasks, potentially influencing how specialized models are developed and benchmarked.

RANK_REASON Release of a new open-weight model with benchmark results. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

H2O.ai releases H2O-Lightning-4B, topping JevBench leaderboard

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Release of a new open-weight model with benchmark results. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/pseudotensor1234 ·

    H2O-Lightning-4B: Apache-2.0 4B Decision model, official #1 open model on JevBench (above 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…