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Llama 3.1 Tulu3 405B shows performance gap on reasoning benchmarks

The Llama 3.1 Tulu3 405B model demonstrated a significant performance disparity across benchmarks, achieving 71.6% on MMLU-Pro while scoring only 3.5% on Humanity's Last Exam. This wide gap highlights the ongoing challenges faced by even advanced open-source models in tackling complex reasoning tasks. AI

IMPACT Highlights limitations in current open-source models for complex reasoning, indicating areas for future development.

RANK_REASON The item reports on benchmark performance of an open-source model, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]

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Llama 3.1 Tulu3 405B shows performance gap on reasoning benchmarks

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  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    When Llama 3.1 Tulu3 405B hits 71.6% on MMLU-Pro but only 3.5% on Humanity's Last Exam, the gap shows even top open models struggle with truly hard reasoning— h

    When Llama 3.1 Tulu3 405B hits 71.6% on MMLU-Pro but only 3.5% on Humanity's Last Exam, the gap shows even top open models struggle with truly hard reasoning— https:// olud.ai/leaderboard.html # LLM # Benchmarks # OpenSource # AI