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English(EN) Eight model repos, added up: the file list and the model disagree

Hugging Face 模型仓库因格式重复而显示大小膨胀

作者 PulseAugur 编辑部 · [1 个来源] ·

一项技术分析揭示了 Hugging Face 仓库中报告的文件大小与实际模型权重之间存在差异。作者发现，将仓库中所有标记为权重的文件的总和，通常会比加载模型所需的单个文件大几倍。这是因为同一权重的多种格式导出（例如 PyTorch、TensorFlow、ONNX），或者相同的权重文件在不同名称下被列出。此外，分析还强调了缺失 'safetensors' 文件报告方面的问题，其中 'null' 值可能被误解为零参数，导致不使用该特定格式的模型的计数不准确。 AI

影响 凸显了 AI 模型存储估算和参数计数方面潜在的不准确性，影响成本计算和资源管理。

排序理由 模型文件存储和报告实践的技术分析。[lever_c_demoted from research: ic=1 ai=1.0]

在 dev.to — LLM tag 阅读 →

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

Hugging Face 模型仓库因格式重复而显示大小膨胀

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模型文件存储和报告实践的技术分析。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. dev.to — LLM tag TIER_1 English(EN) · pm25coder ·

    Eight model repos, added up: the file list and the model disagree

    <h1> Eight model repos, added up: the file list and the model disagree </h1> <p>I wanted one number: how big is this model. Not a parameter count, not a formula — the bytes that land on disk when you pull it down.</p> <p>So I did the dumbest possible thing. I asked eight model re…

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