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Granite 4.0 1B model shows independent benchmark results

By PulseAugur Editorial · [1 sources] ·

The Granite 4.0 1B model has demonstrated performance metrics across several benchmarks, including GPQA at 28.1%, MMLU-Pro at 32.5%, HLE at 4.8%, and Long Context at 6%. These results were independently measured rather than self-reported, offering a transparent view of the model's capabilities for its size. AI

IMPACT Provides independent performance data for a 1B parameter model, aiding in comparative analysis for developers.

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

Read on Mastodon — mastodon.social →

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

Granite 4.0 1B model shows independent benchmark results

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

  1. Mastodon — mastodon.social TIER_1 English(EN) · opensourceaitech ·

    Granite 4.0 1B: GPQA 28.1%, MMLU-Pro 32.5%, HLE 4.8%, Long Context 6% — measured independently, not self-reported. For a 1B, that spread is the reality. Open be

    Granite 4.0 1B: GPQA 28.1%, MMLU-Pro 32.5%, HLE 4.8%, Long Context 6% — measured independently, not self-reported. For a 1B, that spread is the reality. Open bench page for full picture. https:// olud.ai/leaderboard.html # LLM # Benchmarks # OpenSource # AI

    LINKS olud.ai/leaderboard.html

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