集群下线前的离线备份，2026-09-14。共 73 个训练目录、23.9 GB，全部是 PEFT LoRA adapter（没有全参权重）。2026-09-16 补了 geoworldloopfull256k 与 geoworldloopm17full256k，09-17 补了 geoworldloopbd8full256k、geoworldloopr17full256k 与 geoworldloopr17lfull256k，09-18 补了 headtrain 三臂 geoworldloopr17l{1,2,3}hfull256k，09-19 补了 geoworldloopr17lsfull256k，09-21 补了 geoworldloopr17l{1,2}hsfull256k。目录结构与原仓库的 checkpoints/ 一比一相同，所以 src/interp/common.py 里 CARRIERS 的 adapter=ROOT / "checkpoints/ /final" 可以直接指过来。 代码与报告在 GitHub 仓库 geography（分支 cleantrn）；本仓库只补上被.gitignore 挡掉的权重。 单个载体（例如 TRN-geodesic 的 worldfar）： 这个 adapter 是带着注意力硬约束训练的：题面按 token 分成前缀、位移（距离与方位角）、城名、题尾四段， 第 0 到 16 层里答案侧（:）看不到城名、城名侧全程看不到距离与方位角。用它做推理必须挂同一套 mask （GitHub 仓库 geography 的…
Independent publisher
Roger Q
YYT-t
Machine Learning
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Models on Hugging Face41
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