English(EN) The model card said 0.5B. The checkpoint stores 494M. Both are right.

Qwen2.5-0.5B 参数计数差异凸显报告的细微差别

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-06 07:46

最近对Qwen2.5-0.5B模型的分析显示，Hugging Face报告的参数计数与其内部配置存在差异。模型卡和检查点文件显示的参数数量不同，这是因为处理绑定的嵌入（embedding）的方式，即输入层和输出层使用相同的矩阵。这导致架构计数高于存储计数，差异占模型总参数的27.6%。分析还涉及了Mixtral 8x7B等混合专家（MoE）模型，指出其报告的参数计数可能具有误导性，因为它们描述的是架构而非每个token的实际存储或激活参数。 AI

影响强调理解大型语言模型（LLM）不同参数计数指标的重要性，影响模型大小估算和比较。

排序理由模型参数报告和差异分析。[lever_c_demoted from research: ic=1 ai=1.0]

在 dev.to — LLM tag 阅读 →

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Newsworthiness bucket: Tool; 模型参数报告和差异分析。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

dev.to — LLM tag TIER_1 English(EN) · pm25coder · 2026-11-06 07:46

模型卡显示0.5B，检查点存储494M，两者都正确。

<p>Qwen2.5-0.5B's config declares its vocabulary-by-hidden matrix twice: once as the embedding table, once as the output head. Its checkpoint stores that matrix once. Both statements are true, and the distance between them is 136,134,656 parameters, which is 27.6% of everything i…

本文如何被排名

报道来源 [1]

模型卡显示0.5B，检查点存储494M，两者都正确。

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