metadata
library_name: peft
pipeline_tag: image-text-to-text
base_model: Qwen/Qwen2.5-VL-7B-Instruct
tags:
- image-forensics
- forgery-detection
- qwen2.5-vl
- lora
- peft
- so-fake-r1
So-Fake-R1 Model Weights
This repository contains the model weights used by So-Fake-R1, an evidence-grounded framework for social-media image forgery detection.
The Qwen2.5-VL-7B-Instruct base model is not redistributed here. The released VLM components are LoRA adapters that should be loaded with Qwen/Qwen2.5-VL-7B-Instruct.
Contents
observer_adapter/ Visual Observer LoRA adapter
decision_maker_adapter/ Decision Maker LoRA adapter
provider/ Forensic Evidence Provider checkpoints
model_manifest.json Component manifest
SHA256SUMS File checksums
The provider directory contains four small checkpoints:
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
Expected Use
These weights are intended to be used with the So-Fake-R1 inference code. A typical runtime uses:
export QWEN_BASE_MODEL=Qwen/Qwen2.5-VL-7B-Instruct
export SOFAKE_R1_OBSERVER_ADAPTER=/path/to/observer_adapter
export SOFAKE_R1_DM_CKPT=/path/to/decision_maker_adapter
export SOFAKE_R1_PROVIDER_DIR=/path/to/provider
SAM2 is only required when exporting SAM2-refined masks from predicted boxes.
Notes
- Optimizer states, scheduler states, and training logs are intentionally excluded.
- The observer is released as a LoRA adapter rather than a merged full Qwen checkpoint.
- The Decision Maker is the v5.64 route-aware GRPO checkpoint.