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Step3 VL 10B shows mixed results on benchmarks

A new evaluation of the Step3 VL 10B model reveals a significant performance disparity across different benchmarks. The model achieved a 69% score on the GPQA benchmark, indicating strong performance in graduate-level question answering. However, it scored 0% on long-context reasoning tasks, highlighting a critical weakness in handling extended information. AI

IMPACT Highlights a specific weakness in long-context reasoning for the Step3 VL 10B model, suggesting areas for future development.

RANK_REASON The cluster reports on benchmark results for an AI model, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]

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

Step3 VL 10B shows mixed results on benchmarks

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The cluster reports on benchmark results for an AI model, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]
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  1. Mastodon — mastodon.social TIER_1 English(EN) · opensourceaitech ·

    Independently measured: Step3 VL 10B gets 69% on GPQA and 0% on Long Context Reasoning. Why the huge gap? https:// olud.ai/leaderboard.html # LLM # Benchmarks #

    Independently measured: Step3 VL 10B gets 69% on GPQA and 0% on Long Context Reasoning. Why the huge gap? https:// olud.ai/leaderboard.html # LLM # Benchmarks # OpenSource # AI