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English(EN) 72 hours, four big open weights drops. The only one that fits in 24GB came from NVIDIA, of all companies.

英伟达的Nemotron 3.5 Bolt是本周发布的唯一一款24GB开放权重模型

在72小时内,发布了四款主要的大型开放权重语言模型,其中英伟达的Nemotron 3.5 Bolt是唯一一款设计为能在24GB内存占用内运行的模型。Meta的Muse Spark Open、Reflection的Beam和DeepSeek的V4.1 Flash 1017都明显更大,需要高端硬件或大量存储。许可条款也各不相同,DeepSeek和Reflection提供了宽松的许可,而Meta则包含署名和收入分成条款。 AI

影响 凸显了运行开放权重LLM的模型大小和硬件要求方面日益增长的差距,可能影响资源有限用户的可访问性。

排序理由 多家主要实体发布了重要的开放权重模型,重点关注硬件要求和许可。 [lever_c_demoted from significant: 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 →

英伟达的Nemotron 3.5 Bolt是本周发布的唯一一款24GB开放权重模型

本文如何被排名

Signal score
2 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Research
多家主要实体发布了重要的开放权重模型,重点关注硬件要求和许可。 [lever_c_demoted from significant: 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, infra
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
Same-day
Cluster formed today. Ranking reflects the current source set at time of score.

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/BTA_Labs ·

    72小时,四大开源模型发布。唯一能装进24GB的竟来自英伟达。

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1x9d23j/72_hours_four_big_open_weights_drops_the_only_one/"> <img alt="72 hours, four big open weights drops. The only one that fits in 24GB came from NVIDIA, of all companies." src="https://preview.redd.it/g4…