tractor / source-lock.json
johannhartmann's picture
Release tractor 2026.10.21: full DE/EN training generalist
b0dbb00 verified
Raw History Blame Contribute Delete
5.16 kB
{
"release_version": "2026.10.21",
"weights_sha256": "f9b177aa18d1f968cf8e2b3a99cff8938c096be8570064182f84c5a16488b90a",
"gliner_commit": "b86d35c02f2c1a4d9840ea50197bd1b6d13b031e",
"pipeline_sources": {
"document_pipeline.py": "d03fcfdefde8113caf3c74d69b29736853890a54418304863d4842d8579d938f",
"field_contracts.py": "9351fb3745a469632aa5cbbbfed2595e7392e08934e7b595187514d51b574d84",
"field_normalization.py": "cc788dbc2d6879c5aa0127cda0b42ff05f44b3c1ddb1ecfd1392e38cab602026",
"pipeline_evaluation.py": "1c9504f87e7ad02848eebe8402d48c7af46f7c2410dbc4b8b910d4e229aadc13",
"pipeline_diagnostics.py": "79da877f1f9aa6340f0a8b46a1e89a4ff1006c89878187e1e1134057a3973965",
"normalize.py": "8923d46705b9243543661f7ad21807da9937d00942af88f06c8712c25f85bf2e",
"model.py": "9565f80cadc1505ffdc2fe14173dc6346ac231940b803b578b359dbbfe0fc4c8",
"types.py": "92767e4e51aacdbf7a47f6c9fe636e6e53cfbfcc128b8aa311d013aca9ea727c",
"service.py": "b1b7234f38c309f8289c09060875c13046b825204c587cc4a984fffd568d7710",
"contact_normalization.py": "b9f76034be2d6969aabf34b388f9a2cc6a88ea6882ab00250b670b352616da83",
"temporal_normalization.py": "0e01bf9f884c21927f8fe2f21325c1fda97a30f89a1569ce1dd1a6ee3e6591cc",
"scalar_normalization.py": "6cdc6e130fc3c3bc094a2c5c12788e69ec7b3776d9e81d5fd19fbf6cd8ea54a1",
"identifier_normalization.py": "5602163b9d6d40ca851c3130f9f918205546fba08a541f4941f7d8463e1bbff7",
"address_normalization.py": "a7333c17d3ab2dbd810119cc83c65bf6ad384f226b3423722e192933bfa6f6a3",
"episodes.py": "d2772a5f74064ffc2dc30f5c9f4f31b1af2680f29b39347c8b6ec480f58686a0",
"episode_metrics.py": "3eb7da4076418e89047d145b1fd91e3eadde6eda474dbe5948a6d6d30fd0b0d3",
"document_eval.py": "cbe6dfabba39470264e44fd4f819f14ecdb6de77cb6dc0602be0881e1c128008",
"inference_context.py": "c6631350cc2c0fff86e5c943f02eaa36b7fcd2a9be33c23072ccc38db1219c69",
"record_contracts.py": "b4a1b444c9eb84d3eb0be91934fd0ef3144c901b76dfdc9aba17d2e4f137a874",
"evaluation_reference.py": "3b586fba528bcae02a113e9f90fb5825cc85437517df3d9d41e39e2dab449683",
"document_quality.py": "91fc5d0f9e227488367b1a3b89be3013147661e0aa64731c46e1cd961fd65b18"
},
"dataset": {
"repository": "mayflowergmbh/tractor",
"revision": "b07be20e73f60237ebb5a8aa37be4400a2d92097",
"manifest_sha256": "a6b119cdaea8e247d595c74b466911a05ecad97c65914731843f542d26ce09fd"
},
"training": {
"epochs_completed": 4,
"optimizer_steps": 42940,
"sample_exposures": 1374008,
"unique_train_episodes": 341237,
"native_train_requests": 343502,
"selected_epoch": 3,
"selected_step": 32205
},
"promotion": {
"authorized_date": "2026-10-21",
"decision": "Promote the best full-training generalist with disclosed regressions.",
"strict_release_gates_passed": false,
"regression_checks_passed": false,
"failed_regression_checks": 12
},
"checkpoint_selection_pipeline_sources": {
"document_pipeline.py": "75823c89ba55f8fb34ba4daab7ee3da0a4167fa0f20d502371b10593d3697a27",
"field_contracts.py": "9351fb3745a469632aa5cbbbfed2595e7392e08934e7b595187514d51b574d84",
"field_normalization.py": "cc788dbc2d6879c5aa0127cda0b42ff05f44b3c1ddb1ecfd1392e38cab602026",
"pipeline_evaluation.py": "1c9504f87e7ad02848eebe8402d48c7af46f7c2410dbc4b8b910d4e229aadc13",
"pipeline_diagnostics.py": "79da877f1f9aa6340f0a8b46a1e89a4ff1006c89878187e1e1134057a3973965",
"normalize.py": "8923d46705b9243543661f7ad21807da9937d00942af88f06c8712c25f85bf2e",
"model.py": "9565f80cadc1505ffdc2fe14173dc6346ac231940b803b578b359dbbfe0fc4c8",
"address_normalization.py": "a7333c17d3ab2dbd810119cc83c65bf6ad384f226b3423722e192933bfa6f6a3",
"contact_normalization.py": "b9f76034be2d6969aabf34b388f9a2cc6a88ea6882ab00250b670b352616da83",
"scalar_normalization.py": "6cdc6e130fc3c3bc094a2c5c12788e69ec7b3776d9e81d5fd19fbf6cd8ea54a1",
"temporal_normalization.py": "0e01bf9f884c21927f8fe2f21325c1fda97a30f89a1569ce1dd1a6ee3e6591cc",
"identifier_normalization.py": "5602163b9d6d40ca851c3130f9f918205546fba08a541f4941f7d8463e1bbff7",
"service.py": "8d08033b43fc66e0b15639b4c8bdc2acf21960075ff38202021a115fc075756a",
"types.py": "92767e4e51aacdbf7a47f6c9fe636e6e53cfbfcc128b8aa311d013aca9ea727c",
"record_contracts.py": "b4a1b444c9eb84d3eb0be91934fd0ef3144c901b76dfdc9aba17d2e4f137a874",
"evaluation_reference.py": "3b586fba528bcae02a113e9f90fb5825cc85437517df3d9d41e39e2dab449683",
"episodes.py": "d2772a5f74064ffc2dc30f5c9f4f31b1af2680f29b39347c8b6ec480f58686a0",
"episode_metrics.py": "3eb7da4076418e89047d145b1fd91e3eadde6eda474dbe5948a6d6d30fd0b0d3",
"document_quality.py": "91fc5d0f9e227488367b1a3b89be3013147661e0aa64731c46e1cd961fd65b18"
},
"normalization_artifacts": {
"flake.lock": "42bad7791ef69530577c036a45a545a8734df47c8db2601280c34634e66e52a3",
"flake.nix": "5be860e97e139e1ef0e745f6ee61058d4545b04cc0ef8258ef4b7f04107fcb4f",
"uv.lock": "d29fdf67210e1a51d04252bc73941b40745f77b9afac34afe54dd94c747b27c5",
"configs/libpostal-data.sha256": "71763ad90ba7c9c438dab4fab54cd0f50228edb539b30a075e4228b80c9debcf"
}
}