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Ohio State researchers open-source QUEST-35B Deep Research agent

By PulseAugur Editorial · [1 sources] ·

Researchers from Ohio State University have developed and open-sourced QUEST-35B, a Deep Research agent. This agent was trained using approximately 32 H100 GPUs and a dataset of around 8,000 synthetic samples. Benchmark results indicate that QUEST-35B performs competitively with several leading Deep Research systems, prompting discussion about the remaining gaps between open-source and frontier closed systems. AI

IMPACT Provides a competitive open-source alternative for Deep Research tasks, potentially narrowing the gap with frontier systems.

RANK_REASON Release of an open-source research agent 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 →

Ohio State researchers open-source QUEST-35B Deep Research agent

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Release of an open-source research agent with benchmark results. [lever_c_demoted from research: ic=1 ai=1.0]
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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.
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model release, product
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High
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99 days old
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COVERAGE [1]

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

    Researchers trained a Deep Research agent with 32 H100s and open-sourced everything

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1u9w6my/researchers_trained_a_deep_research_agent_with_32/"> <img alt="Researchers trained a Deep Research agent with 32 H100s and open-sourced everything" src="https://preview.redd.it/hdrqhare878h1.png?width=…

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