| { |
| "schema_version": 1, |
| "model_name": "PoreFM-DNA prototype", |
| "model_version": "0.1.0", |
| "embedding_dim": 384, |
| "chemistry": "dna_r10.4.1_e8.2_400bps", |
| "molecule_type": "dna", |
| "class_labels": [ |
| "A", |
| "C", |
| "G", |
| "T", |
| "5mC", |
| "5hmC", |
| "6mA" |
| ], |
| "scorer": "residual-effects", |
| "artifacts": [ |
| { |
| "file": "R10.4.1_prototype.pt", |
| "size_bytes": 485654152, |
| "file_sha256": "83b0fc7a56edd24280f768da367f5e267bc7435b674786184147f8da8087cd26", |
| "role": "prototype", |
| "format": "porefm_inference_bundle", |
| "bundle_format_version": 1, |
| "components": { |
| "model_path": { |
| "role": "backbone", |
| "member": "artifacts/model_path.pt", |
| "file_sha256": "c1ddd2db3fb79b30646d93832b927c6cb521f42c150329d1b91fb47e5dc597f2", |
| "tensor_fingerprint": { |
| "scheme": "porefm-tensor-content-v1", |
| "sha256": "32d6bf030a601ba64fb6aab033d9053f5bb6ac67a081b519309cf6b2cb489f5c" |
| } |
| }, |
| "effect_model": { |
| "role": "fitted_effects", |
| "member": "artifacts/effect_model.pt", |
| "file_sha256": "0e049b6f683e68032de499edf13863e10f8898b8f8eb0ecc11a1f1b77b783dc2", |
| "tensor_fingerprint": { |
| "scheme": "porefm-tensor-content-v1", |
| "sha256": "ec772d7f18269b1e964415cc0a65a6f31b195d6c203f21214c8b4f50bb77edfd" |
| } |
| } |
| } |
| } |
| ], |
| "tensor_fingerprint_scheme": { |
| "name": "porefm-tensor-content-v1", |
| "algorithm": "sha256", |
| "scope": "Stored tensors and numeric arrays, including their names, shapes and dtypes; scalar configuration and other metadata are excluded.", |
| "encoding": [ |
| "Initialize SHA-256 with ASCII porefm-tensor-content-v1 followed by one zero byte.", |
| "Recursively traverse dictionaries sorted by (type(key).__name__, str(key)), and lists/tuples in index order. Skip leaves other than torch.Tensor and numpy.ndarray.", |
| "For each leaf, compact ASCII-escaped UTF-8 JSON encodes [key_path, dtype, shape, nbytes]. key_path is the list of dictionary keys and sequence indices. dtype is torch: plus str(tensor.dtype), or numpy: plus array.dtype.str.", |
| "Append the JSON byte length as an unsigned 8-byte big-endian integer, the JSON bytes, then C-contiguous numerical bytes in little-endian representation. Tensor/array storage padding is excluded." |
| ] |
| } |
| } |
|
|
