Instructions to use saberzl/So-Fake-R1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use saberzl/So-Fake-R1 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
| { | |
| "name": "So-Fake-R1", | |
| "version": "v5.64", | |
| "created": "2026-08-01", | |
| "base_model": "Qwen/Qwen2.5-VL-7B-Instruct", | |
| "components": { | |
| "visual_observer": { | |
| "type": "LoRA adapter", | |
| "path": "observer_adapter", | |
| "required_files": [ | |
| "adapter_config.json", | |
| "adapter_model.safetensors", | |
| "additional_config.json" | |
| ] | |
| }, | |
| "forensic_evidence_provider": { | |
| "type": "FETA provider weights, Qwen layer-19 feature source", | |
| "path": "provider", | |
| "required_files": [ | |
| "npr_internalized_feta_mono_blur_only05_e1.pt", | |
| "feta_v0_L19_cls_only10d_L19_u1_e1.pt", | |
| "npr_feta_cls_npr_residual_feta10d_e1.pt", | |
| "l19_heatmap_bbox_head_best.pt" | |
| ] | |
| }, | |
| "decision_maker": { | |
| "type": "LoRA adapter", | |
| "path": "decision_maker_adapter", | |
| "required_files": [ | |
| "adapter_config.json", | |
| "adapter_model.safetensors", | |
| "additional_config.json" | |
| ] | |
| } | |
| }, | |
| "not_included": [ | |
| "Qwen2.5-VL-7B-Instruct base model", | |
| "SAM2 checkpoints", | |
| "optimizer states", | |
| "scheduler states", | |
| "merged observer checkpoint", | |
| "training data" | |
| ] | |
| } | |