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cjgogo/cjtest-trained-outputs
cjtest-trained-outputs is a machine learning model from cjgogo. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Training and experiment artifacts from /data/alice/cjtest, organized by project.
Downloads · 30 days
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Updated Jul 22, 2026
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.pt21.5 GB · 39%
From the Hugging Face model README
Training and experiment artifacts from /data/alice/cjtest, organized by project.
Downloaded pretrained models, raw datasets, environment dependencies, cache files, and GitHub-original files were not uploaded. See manifests/delete_candidates_not_our_training.tsv and manifests/delete_non_training_downloaded.log for the filtered/deleted large files.
| Project | Files | Size | Documentation |
|---|---|---|---|
FinalTraj/Trajectory_Generation_multi_agent | 31 | 10.60 GiB | FinalTraj/Trajectory_Generation_multi_agent/README.md |
FinalTraj/finetune | 14 | 3.13 GiB | FinalTraj/finetune/README.md |
VideoX-Fun/Wan2.1-RoboTwin-LoRA | 44 | 10.42 GiB | VideoX-Fun/Wan2.1-RoboTwin-LoRA/README.md |
dreamzero/checkpoints | 2 | 5.81 GiB | dreamzero/checkpoints/README.md |
lara-wm/experiments | 49 | 21.09 GiB | lara-wm/experiments/README.md |
Use huggingface_hub.snapshot_download or hf download to fetch the needed project folder, then place it back under the same relative project path in a restored cjtest tree. Optimizer states are only needed for resuming training; adapter/model files are enough for inference or evaluation when paired with the corresponding base model.