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| Version | Architecture | Genre | Vocab Size | Training Data | Format |
|---|---|---|---|---|---|
| v2 | LSTM (3-layer) | R&B / 90s Hip Hop | 59 | 24 songs | PyTorch + Keras |
| v3 | LSTM (3-layer) | Dance | 635 | ~200 songs | PyTorch + Keras |
| v4 | LSTM (3-layer) | Jazz | 635 | ~120 songs | PyTorch + Keras |
| v5 | LSTM (3-layer) | Various | 629 | 275 songs | PyTorch + Keras |
| v6 | LSTM + Embeddings | Various | 362 | 275 songs | PyTorch |
| v7 | Transformer | Various | 512 | 275 songs | PyTorch |
| v8 | Transformer | Various + Classical | 1024 | 275 songs + MAESTRO | PyTorch |
model.pt — PyTorch model weightsmetadata.json — Model configuration and vocabulary infoseeds.json — Pre-computed seed sequences for generationtokenizer/tokenizer.json — MidiTok REMI tokenizer (v6-v8 only)model.h5 / model.h5_data.pkl — Legacy Keras weights (v2-v5 only)1import torch
2
3# Load a model
4checkpoint = torch.load("v8/model.pt", map_location="cpu")