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English(EN) BenchLabs' Cagliostro V3.5 135M finally takes Hugging Face's SmolLM2-135M's first place on Open SLM Leaderboard with an Intelligence Index of 27.49

BenchLabs 的 Cagliostro V3.5 135M 登顶 Open SLM Leaderboard

BenchLabs 的 Cagliostro V3.5 135M 模型已在 Open SLM Leaderboard 上超越 Hugging Face 的 SmolLM2-135M。Cagliostro V3.5 取得了 27.49 的智能指数得分,表现优于 SmolLM2-135M。这一进展凸显了小型、更高效语言模型正在不断进步。 AI

影响 这一成就标志着开发高性能、小型语言模型方面取得了进展,可能影响该领域的未来研究和开发。

排序理由 该集群报告了一个语言模型的新基准测试结果,使其在相关排行榜上名列前茅。[lever_c_demoted from research: ic=1 ai=1.0]

在 r/LocalLLaMA 阅读 →

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

BenchLabs 的 Cagliostro V3.5 135M 登顶 Open SLM Leaderboard

本文如何被排名

Signal score
12 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
该集群报告了一个语言模型的新基准测试结果,使其在相关排行榜上名列前茅。[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, product
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]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Megneous ·

    BenchLabs的Cagliostro V3.5 135M以27.49的智能指数,终于在Open SLM排行榜上超越Hugging Face的SmolLM2-135M,夺得第一名

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wzljhn/benchlabs_cagliostro_v35_135m_finally_takes/"> <img alt="BenchLabs' Cagliostro V3.5 135M finally takes Hugging Face's SmolLM2-135M's first place on Open SLM Leaderboard with an Intelligence Index of 27…