| { |
| "runtime": "tessera", |
| "file": "tessera-v1.safetensors", |
| "bytes": 3490312, |
| "sha256": "e72e56e9fde6dbc9cad354b4f9a1faf5f666fd81b02087088add56ed42947d46", |
| "metadata": { |
| "created": "2026-10-08", |
| "decoder_contract": "tessera-bio-context96-address-continuation-v1", |
| "description": "Experimental contact extraction for United States documents", |
| "detector_architecture": "{\"name\":\"detector-context96-rms-v2\",\"dilations\":[1,2,4,8,16,1,64],\"kernel\":3,\"channels\":96,\"operator\":\"post-residual-channel-rms-v2\",\"epsilon\":0.00001,\"learned_parameters\":0,\"margin_tokens\":96,\"overlap_tokens\":448,\"window_tokens\":2048,\"max_entity_tokens\":256,\"decoder_contract\":\"tessera-bio-context96-address-continuation-v1\"}", |
| "detector_best_sha256": "dff703e33e2b284b2af87891275a3cb4d532b66fea266c3220731bcc49c9f752", |
| "detector_feature_config": "{\"contract\":\"tessera-detector-tab-cells25-v1\",\"flag_bits\":25}", |
| "detector_input_policy": "known_us", |
| "detector_input_snapshot_sha256": "d8e40a0ad5487ef74518cfdcef4f0a5fb3d98f4e98bac18d213489d2be371d4c", |
| "detector_labels": "[\"O\",\"B-PERSON\",\"I-PERSON\",\"B-ORG\",\"I-ORG\",\"B-ADDRESS\",\"I-ADDRESS\"]", |
| "detector_network": "{\"hidden\":96,\"kernel\":3,\"dilations\":[1,2,4,8,16,1,64]}", |
| "detector_parameter_sha256": "904a9a66a105e5265bd6581e2c29c016891b7b643dc73a38336a31e0212fe609", |
| "detector_postprocess_contract": "address_labeled_fields_v1", |
| "detector_quantized_sha256": "3e54fca2d8a69a3d2d8fce649577cce9426eaa397be63da465c17eba5085d37a", |
| "detector_training_complete": "true", |
| "detector_training_updates": "6160", |
| "dev_target_met": "false", |
| "evaluation_scope": "reviewed fixed-final fit; DEV never selected updates or checkpoints within the fit, but DEV observations informed the choice among runs and data variants, so DEV scores are not an unbiased estimate; learning gate is a TRAIN sanity check; no fresh unseen evaluation", |
| "experimental_quality_accepted": "true", |
| "experimental_regions": "[\"US\"]", |
| "feature_config": "{\"ngram_sizes\":[2,3,4],\"hash_buckets\":32768,\"hash_seed\":0,\"max_ngrams_per_token\":64,\"flag_bits\":23,\"script_rows\":13,\"shape_rows\":64}", |
| "format": "2", |
| "fresh_unseen_evaluation_pending": "true", |
| "general_accuracy_claim": "false", |
| "learning_gate_passed": "true", |
| "license": "CC-BY-4.0", |
| "model_name": "Tessera", |
| "model_scope": "US", |
| "model_version": "0.4.0", |
| "nets": "parser,detector", |
| "parser_best_sha256": "9c5d0ec78099d58d7ffc9d1b20ca3c4a7e31cbc5cf598afb63a9d11bf48a73ba", |
| "parser_input_snapshot_sha256": "46d8b63046534c904b233f5090d3d4cc0b0d1ddd403d4621858bb453c991ba48", |
| "parser_labels": "[\"O\",\"B-house_number\",\"I-house_number\",\"B-road\",\"I-road\",\"B-unit\",\"I-unit\",\"B-level\",\"I-level\",\"B-suburb\",\"I-suburb\",\"B-city\",\"I-city\",\"B-district\",\"I-district\",\"B-region\",\"I-region\",\"B-postcode\",\"I-postcode\",\"B-country\",\"I-country\",\"B-po_box\",\"I-po_box\"]", |
| "parser_network": "{\"hidden\":96,\"kernel\":3,\"dilations\":[1,2,4,8]}", |
| "parser_quantized_sha256": "ffb631258693b17cfb12a23b8bb0372512dbdaa04b1bdfbde1703e0e6da30576", |
| "phone_metadata_version": "libphonenumber v9.0.33 generated tables", |
| "quantization": "per-channel symmetric int8", |
| "release_approval_scope": "reviewed-fit-experimental-release-v1", |
| "release_approval_sha256": "7b9c860daacc3fd7eefd535b1249d54ab051c3f195470c0a2bd82dc713f078c1", |
| "report_url": "", |
| "repository": "https://github.com/theiskaa/tessera", |
| "runtime_version": "0.2.0", |
| "status": "experimental", |
| "supported_regions": "[]", |
| "tokenizer_contract": "tessera-tokenize-legacy-v1", |
| "training_snapshot": "parser-inputs:46d8b63046534c904b233f5090d3d4cc0b0d1ddd403d4621858bb453c991ba48,detector-inputs:d8e40a0ad5487ef74518cfdcef4f0a5fb3d98f4e98bac18d213489d2be371d4c" |
| } |
| } |
|
|
