English(EN) 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 模型展示独立基准测试结果

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-06 09:00

Granite 4.0 1B 模型在多项基准测试中展示了性能指标，包括 GPQA 为 28.1%，MMLU-Pro 为 32.5%，HLE 为 4.8%，长上下文为 6%。这些结果是独立测量的，而非自报，为该尺寸模型的性能提供了透明的视图。 AI

影响为 1B 参数模型提供了独立的性能数据，有助于开发者的比较分析。

排序理由该集群报告了一个开源模型的基准测试结果，属于研究范畴。[lever_c_demoted from research: ic=1 ai=1.0]

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AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 7 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该集群报告了一个开源模型的基准测试结果，属于研究范畴。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; 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.
Topics: model release, other; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

Mastodon — mastodon.social TIER_1 English(EN) · opensourceaitech · 2026-10-06 09:00

Granite 4.0 1B：GPQA 28.1%，MMLU-Pro 32.5%，HLE 4.8%，长上下文 6% — 独立测量，非自报。对于 1B 模型来说，这就是实际表现。开放 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

链接 olud.ai/leaderboard.html

本文如何被排名

报道来源 [1]

Granite 4.0 1B：GPQA 28.1%，MMLU-Pro 32.5%，HLE 4.8%，长上下文 6% — 独立测量，非自报。对于 1B 模型来说，这就是实际表现。开放 be

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