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@natolambert· @natolambert · X·· 2026-08-20AI 评分32
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Nathan Lambert 与 xeophon 为 ATOM 工作提出的 RAM 评分,以模型 30 天累计下载量除以同尺寸类别历史前 10 模型的下载量,得分超过 1 意味着有望进入该尺寸类别下载量前 10。他认为该指标对 50B+ 模型最有意义,因为大型 MoE 模型很少在质量不佳的情况下获得大量采用。

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I think the RAM score @xeophon and I made for ATOM work is a really solid metric. If I just rank by the top RAM scores @ 30days within our artifacts curation, all the models are really solid.

RAM score @ t= (model's cumulative downloads) @ t / (top-10 downloads for size class) @ t

RAM is essentially looking at a model's downloads at specific points in time (this case t is 30 days), relative to the downloads of the top 10 models of all time in that size bracket. A score of above 1 means it's on track to be a top 10 downloaded model at that size category. Imo most meaningful for 50B+ models.

Downloads alone normally isn't great on HuggingFace, but it's rare a large MoE gets a ton of adoption without being a solid model.

来源:@natolambert · x.com