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starlight-prod
macroadster/starlight-prod
starlight-prod is a image classification model from macroadster. Use it when you need a label for an image. It is set up for gguf. The card lists the license as apache-2.0.
- 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…
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At a glance
- Task
- Image Classification
- Library
- gguf
- License
- apache-2.0
- Access
- Public
- Created
- Jul 18, 2026
- Updated
- Jul 18, 2026
- SHA
- d8549470
Datasets
Model card
From the Hugging Face model README
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
- Task
- Image Classification
- Library
- gguf
- License
- apache-2.0
- Created
- Jul 18, 2026
- Updated
- Jul 18, 2026