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Sarvam 30B model performance metrics revealed across benchmarks

By PulseAugur Editorial · [1 sources] ·

Sarvam AI has released its Sarvam 30B model, with performance metrics now available for several benchmarks. The model achieved 63.3% on GPQA, 7.5% on Humanity's Last Exam, and 19.2% on SciCode. Notably, it scored 0% on long-context reasoning tasks, and its cost-effectiveness is highlighted with 136.2 intelligence points per dollar. AI

IMPACT Provides benchmark data for the Sarvam 30B model, useful for comparing its capabilities against other LLMs.

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

Read on Mastodon — fosstodon.org →

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

Sarvam 30B model performance metrics revealed across benchmarks

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The item reports on benchmark results for an open-source LLM, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

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

    📊 Sarvam 30B (high) — the actual numbers GPQA: 63.3% Humanity's Last Exam: 7.5% Long Context Reasoning: 0% SciCode: 19.2% 💰 136.2 intelligence points per dollar

    📊 Sarvam 30B (high) — the actual numbers GPQA: 63.3% Humanity's Last Exam: 7.5% Long Context Reasoning: 0% SciCode: 19.2% 💰 136.2 intelligence points per dollar Measured independently, not self-reported → https:// olud.ai/leaderboard.html # LLM # Benchmarks # OpenSource # AI

    LINKS olud.ai/leaderboard.html

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