File size: 2,452 Bytes
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"schema_version": 1,
"model_name": "PoreFM-RNA prototype",
"model_version": "0.1.0",
"embedding_dim": 512,
"chemistry": "rna004",
"molecule_type": "rna",
"class_labels": [
"A",
"C",
"G",
"U",
"m6A",
"Inosine",
"2OmeA",
"m5C",
"2OmeC",
"2OmeG",
"pseU",
"2OmeU"
],
"scorer": "residual-effects",
"artifacts": [
{
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"size_bytes": 684590831,
"file_sha256": "79bec4aa0d52bcadf433f97ece376936a70f0cde08420b522addfd698aca2043",
"role": "prototype",
"format": "porefm_inference_bundle",
"bundle_format_version": 1,
"components": {
"model_path": {
"role": "backbone",
"member": "artifacts/model_path.pt",
"file_sha256": "8718a68ae3aad7bfbb0b27b42971a293a5f61d19c2853370d65aa146c04209ec",
"tensor_fingerprint": {
"scheme": "porefm-tensor-content-v1",
"sha256": "4fd8da31505651e199ed2bdf66e0a3835867812f2bd1ae2e097b3c1a0b7ef689"
}
},
"effect_model": {
"role": "fitted_effects",
"member": "artifacts/effect_model.pt",
"file_sha256": "07827f8b0043f6547fd76b82f8f1c6068fbc90c1ad5712d9bab8dc1c7d9c0cca",
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"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."
]
}
}
|