English(EN) 📊 Molmo 7B-D — the actual numbers GPQA: 24% MMLU-Pro: 37.1% Humanity's Last Exam: 5.1% Long Context Reasoning: 0% Measured independently, not self-reported → ht

Molmo 7B-D 基准测试结果表现不一

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-18 21:00

Molmo 7B-D 语言模型在多个基准测试上进行了评估，在 GPQA、MMLU-Pro 和 Humanity's Last Exam 上取得了具体分数。该模型在长上下文推理任务上得分为 0%。这些结果是独立测量的，而非模型创建者自我报告。 AI

影响提供了 Molmo 7B-D 模型在各种基准测试上的具体性能数据，有助于进行比较分析。

排序理由该项目报告了一个开源语言模型的基准测试结果。[lever_c_demoted from research: ic=1 ai=1.0]

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本文如何被排名

Signal score: 11 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该项目报告了一个开源语言模型的基准测试结果。[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 · 2026-10-18 21:00

📊 Molmo 7B-D — 实际数字 GPQA: 24% MMLU-Pro: 37.1% 人类终极考试: 5.1% 长上下文推理: 0% 独立测量，非自我报告 → ht

📊 Molmo 7B-D — the actual numbers GPQA: 24% MMLU-Pro: 37.1% Humanity's Last Exam: 5.1% Long Context Reasoning: 0% Measured independently, not self-reported → 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]

📊 Molmo 7B-D — 实际数字 GPQA: 24% MMLU-Pro: 37.1% 人类终极考试: 5.1% 长上下文推理: 0% 独立测量，非自我报告 → ht

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