--- license: mit --- # ZipPlus2048 Model Card **A pre-trained 2-layer GRU model for neural file compression. Compress any file into a PNG image using a neural network and extract it back.** This is a pre-trained ByteGRU model for [Zip+](https://github.com/CompactAIOfficial/ZipPlus) - use this instead of training your own. ## What is this This model compresses any file into a PNG image using a neural network (GRU + range coding) and extracts it back. The compressed files look like weird colorful static - perfect for confusing anyone who peeks at your folder. ``` file.txt → [ByteGRU + Range Coding] → file.txt.zpng.png → [ByteGRU + Range Coding] → file.txt ``` **The PNG contains a special `ZPNG` magic header**, so random images won't decompress. Your cat photos are safe. Mostly. ## Model Details - **Architecture**: 2-layer GRU over byte embeddings - **Embedding dim**: 64 → Hidden dim: 256 - **Trained on**: A variety of file types - **Entropy coding**: Range coding via Constriction - **Output format**: PNG where payload lives in RGB pixel bytes - **Magic header**: `ZPNG` (first 4 bytes) - ## Requirements - Python 3.10+ - PyTorch - Constriction (`pip install constriction`) - Pillow - numpy ```bash pip install torch constriction pillow numpy ``` ## Quick Start ### Compress a file ```bash python inference.py compress myfile.txt -o myfile.zpng.png -m model.pt ``` ### Decompress ```bash python inference.py decompress myfile.zpng.png -o restored.txt -m model.pt ``` Done. Your file is back. Hopefully. ## Interactive Menu Just run `python compressor.py -m model.pt` for the menu. It's vaguely intuitive if you squint. ## Performance Compression ratio varies. Text files compress okay. Binary files? Less okay. Random data? It might actually grow. That's the fun part. ## Warnings - **Don't lose this model**. Without the model file, your `.zpng.png` files are colorful but useless. - **Lossiness is possible**. If the compression produces artifacts, restored files may differ. Check with checksums. - **GPU recommended**. CPU inference is tolerable. - ## License MIT. I'm not liable if this eats your thesis/pixels/anything. --- Use it because it's amusing. Or don't