RFD4-Proteina / release-checkpoints.json
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{
"format_version": 1,
"model": "RFD4-Proteina",
"native_namespace": "rfproteina",
"weights": "EMA",
"bundle_revision": "cf31b93509df5af854c7f6ad704f5c83c77c0698",
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"latent_dim": 32,
"residue_vocabulary_classes": 147,
"checkpoints": {
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"ae_checkpoints/rfd4_proteina_ae-ema.ckpt": {
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"supersedes": {
"flow_checkpoints/rfd4_proteina_flow-ema.ckpt": "2026_10_15_hero_s43_c512_80k-ema.ckpt",
"ae_checkpoints/rfd4_proteina_ae-ema.ckpt": "2026_10_15_unified_ae_s43_400k-ema.ckpt"
},
"bundles": {
"model.safetensors": {
"description": "Release model, LoRA merged into the base",
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"adapters": {
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"policy": "Stable filenames select the current release pair. The flow model and autoencoder are matched and must be used together; this release changes the latent dimension (16 -> 32) and residue vocabulary (33 -> 147 classes), so its components are not interchangeable with the previous release's. Pin a Hugging Face commit or retain this manifest and verify SHA-256 for reproducibility. Published checkpoints carry EMA weights and hyperparameters only: the duplicate SimpleEMA shadow copy, optimizer, scheduler and loop state are removed, so they initialize weights and do not resume a training run. Weight tensors are bit-identical to the full training checkpoints, whose digests are recorded here."
}