| --- |
| license: apache-2.0 |
| tags: |
| - steganography |
| - steganalysis |
| - gguf |
| - balanced-detector |
| - image-classification |
| - computer-vision |
| - bitcoin |
| library_name: gguf |
| pipeline_tag: image-classification |
| datasets: |
| - custom |
| metrics: |
| - accuracy |
| - f1 |
| - auc |
| --- |
| |
| # Model Card: Starlight Balanced Detector (GGUF) |
|
|
| ## Model Overview |
|
|
| - **Task**: Steganography detection (and method / bit-order heads) |
| - **Architecture**: `BalancedStarlightDetector` (multi-stream CNN + fusion gate) |
| - **Input streams**: pixel, meta, alpha, LSB, palette, format/content features (see GGUF export docs) |
| - **Primary artifact**: **GGUF** for Stargate / Trin (Go) |
|
|
| ## Artifacts (this repo on HF) |
|
|
| | File | Description | |
| |------|-------------| |
| | `starlight.gguf` | **Primary** production weights (GGUF v3 / F32) | |
| | `starlight_gguf_map.json` | Tensor name map and export metadata | |
| | `README.md` | This model card | |
|
|
| Optional secondary (may appear if uploaded): `detector_balanced.pth`, `detector_balanced.onnx`. |
|
|
| ## Inference |
|
|
| **Production**: load `starlight.gguf` via **Stargate / Trin** GGUF path — not Python ONNX as the primary path. |
|
|
| Download: |
|
|
| ``` |
| https://huggingface.co/macroadster/starlight-prod/resolve/main/starlight.gguf |
| https://huggingface.co/macroadster/starlight-prod/resolve/main/starlight_gguf_map.json |
| ``` |
|
|
| ## Training |
|
|
| - **Dataset**: Combined submissions (grok, gemini, claude, chatgpt, sample, val) |
| - **Checkpoint**: `models/detector_balanced.pth` (training repo) |
| - **Export**: `scripts/export_starlight_gguf.py` → `models/starlight.gguf` |
| - **Typical recipe**: Adam, balanced clean/stego sampling (see training repo `trainer.py`) |
|
|
| ## Steganography coverage |
|
|
| - `lsb`, `alpha`, `exif`, `eoi` / raw, `palette` (and related variants in datasets) |
|
|
| ## Performance |
|
|
| | Metric | Value | |
| |--------|-------| |
| | Accuracy | see training run / leaderboard | |
| | False positive focus | balanced detector design | |
|
|
| Update metrics after each publish-worthy training run. |
|
|
| ## License |
|
|
| - Model: Apache 2.0 |
| - Code: see training repository LICENSE |
|
|
