File size: 1,702 Bytes
405368d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 | ---
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
```text
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:
```text
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:
```bash
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.
|