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limitlesstrain/ddlx-track3-final-assets
ddlx-track3-final-assets is a machine learning model from limitlesstrain. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repository tracks code, configs, and documentation. Large model weights should be downloaded from the GitHub Release assets, Hugging Face, or the organizer verification bundle.
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Updated Jun 18, 2026
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From the Hugging Face model README
This repository tracks code, configs, and documentation. Large model weights should be downloaded from the GitHub Release assets, Hugging Face, or the organizer verification bundle.
models/classifier/convnextb_cls_dev_adapt_head_stage4_last.ptmax(face_fake_probability)0.20models/detectors/old_fullmask_continue96_stageb3_best.ptmodels/detectors/repeat2_conservative_lr1e4_stageb_best.ptmodels/detectors/yolov8m512_stageab_stageb_best.ptThese three detector streams are fused with WBF using configs/final_wbf.yaml.
models/explanation/qwen2_5_vl_3b_instruct/models/explanation/qwen2_5_vl_3b_lora_checkpoint1500/checkpoint-1500adapter_model.safetensorsThe final selected WBF submission reused cached Qwen-generated text artifacts for exact zip reconstruction. Method-level verification should rerun the Qwen base model plus the LoRA adapter on a small subset or full metadata.
v1.0-final/
convnextb_cls_dev_adapt_head_stage4_last.pt
old_fullmask_continue96_stageb3_best.pt
repeat2_conservative_lr1e4_stageb_best.pt
yolov8m512_stageab_stageb_best.pt
qwen2_5_vl_3b_lora_checkpoint1500.tar.gz
text_sources.tar.gz
detector_pred_boxes.json
DDLX_Track3_FinalVerification_WBF_20260530_1431.tar
If the Qwen2.5-VL-3B-Instruct base model is not attached to the Release, download it from the official model source and place it at the expected path above.