artifact_id string | namespace string | value string |
|---|---|---|
artifact_0001abeba5c788bc2d2058b9e5d19358a1c7ec0215f5a509c18c4bd19e1c4982 | huggingface:model | TransQuest/monotransquest-da-ru_en-reddit_wikiquotes |
artifact_0002618fe59b20064b0662f513800e603380210b7b9569f22405f17b2351c1ec | keras-hub:preset | keras_hub/src/models/resnet/resnet_presets.py:backbone_presets:resnet_vd_101_ssld_imagenet |
artifact_00040b39d1ca0b0a465f7723424494f2363755462af94f766592078fa25c5887 | huggingface:model | Salesforce/cods-bart-large-xsum-samsum |
artifact_00056343a23f953b7ba2147242766c99c53d7011aaf9e4767e77a4989d7b7fdd | huggingface:model | Vamsi/T5_Paraphrase_Paws |
artifact_0008cd97dc4093ce70ec01b5a400320b2d423c684dde38ecc0a69f4ad1e0f32c | arxiv | 2106.16163 |
artifact_0008cd97dc4093ce70ec01b5a400320b2d423c684dde38ecc0a69f4ad1e0f32c | huggingface:model | MultiBertGunjanPatrick/multiberts-seed-4-900k |
artifact_0009af096a0651e155e3835ce2067ea69e8bf97cde715596d7128adbf0bc5f8c | huggingface:model | Ender/Jfxosn |
artifact_001bfd1695660f3210fb3404295a24caa0974ab70ca753e196b275f3739ac5fd | huggingface:model | Pyke/bart-finetuned-on-patent-Deepspeed-Test13 |
artifact_0023d7862d9f768d07d9b5327f4c09f0c5d7e37280c4e47da11ac83e30ff7cbf | huggingface:model | Jeevesh8/multiberts_seed_7_ft_1 |
artifact_002488bb648a92cb3a069284a69a60ee8baa28cf4ab973fe88a3a83a64b25ec6 | huggingface:model | ali2066/finetuned_token_itr0_2e-05_all_16_02_2022-21_08_55 |
artifact_00303d39057991dcf2df9cfaf38d1a1d5d3503cccd2613d9dd8da68e6e324f91 | huggingface:model | ali2066/distilBERT_token_itr0_1e-05_editorials_01_03_2022-15_12_47 |
artifact_00340d6a46c1616bd73f6394097d9334c23d258dca129358c072a9400dbb6259 | huggingface:model | Helsinki-NLP/opus-mt-en-guw |
artifact_003794e618ee23a056f3084f667b832157c3618040e6c8ea2de5ba816c765b14 | keras-hub:preset | keras_hub/src/models/bert/bert_presets.py:backbone_presets:bge_small_v1.5_zh |
artifact_003cf67afc9e2c28658dcf7947a0bebeec68f51525192e2b7742e478b71783ea | openrouter:model | nvidia/nemotron-3.5-content-safety |
artifact_003f9d063d0f2e883dfdc59359097a3490a16591c59285478539c6edc50446cd | huggingface:model | aXhyra/demo_irony_42 |
artifact_0055676ac4811fbef282a9939a84e3697765eb03951a6c9e1b717a17793a40f9 | timm:model | cait_xxs24_384 |
artifact_0058a872bcc948670ed8a6990bde8fe3c01bc938252992aa52fd34e9d98c7932 | keras-hub:preset | keras_hub/src/models/mobilenet/mobilenet_presets.py:backbone_presets:mobilenet_v3_small_050_imagenet |
artifact_00600ea3fe23bd95f298e1e8e8a13f0f82d167744d547cc1c4f3ee6085b30b63 | huggingface:model | Shubham-Kumar-DTU/DialoGPT-small-goku |
artifact_0064945cbc055a178d2e65f728166a9a779672fecfc1aaba82a4f6314aa877c8 | arxiv | 2103.06678 |
artifact_0064945cbc055a178d2e65f728166a9a779672fecfc1aaba82a4f6314aa877c8 | huggingface:model | CAMeL-Lab/bert-base-arabic-camelbert-mix-ner |
artifact_006a24b438e8c7766ad14bead53759dabd9d4046b4192038ac1ee6e0ed5b7db7 | huggingface:model | Lalita/marianmt-th-zh_cn |
artifact_006fa1a0c1a648cc966761613e0b4fc62904b052c54169bb1cc796a321e666d0 | huggingface:model | Helsinki-NLP/opus-mt-fr-pon |
artifact_006ff99d3ed9adfe9af2ab2ab596533e5b5bcb86ef003304c3bf3f03e7731125 | modelscope:model | alex191/minimax_h3_ref2v_turbo_4step_v0.1_comfyui_bf16 |
artifact_00702b46ce8396e1de6735904a9cfc5edf31a00794bf583e4eaa3c4413d57221 | arxiv | 2104.08247 |
artifact_00702b46ce8396e1de6735904a9cfc5edf31a00794bf583e4eaa3c4413d57221 | huggingface:model | AdapterHub/roberta-base-pf-trec |
artifact_0070b3b566fde0d85eeac5c8794ab6f90340639cc0d018c7ac496d0ece163589 | huggingface:model | Aakansha/hs |
artifact_0073b9e157b65db1d4e18ba782aa024ad4d7267b584c8597bcf473e185254700 | huggingface:model | Glorietheus/Amanda |
artifact_007801b03d6d43c6f320c9c4c7f2e1d46a02c981a2c4c53ebad4ed986d2477f4 | huggingface:model | HooshvareLab/bert-fa-base-uncased-sentiment-deepsentipers-binary |
artifact_0082a037810b78d688ca572b6ac2e5dee3fee8e87ac797df66cebc9327e778b1 | huggingface:model | Helsinki-NLP/opus-mt-en-et |
artifact_008c4360f8e04be62b1952567d67c72b09dd0753ad61bce04d6af087374153b0 | huggingface:model | NbAiLab/nb-bert-base-ner |
artifact_008f3167249bb425bda5cc712468edf9abbb36a31de817df5c43303b85bac8d0 | huggingface:model | AlbertHSU/ChineseFoodBert |
artifact_00950c301029396c6dd0f762e24010990b25c5df43f4155e0dcfdc2221e64ed0 | timm:model | mobilenetv3_rw |
artifact_00962decb5c0002255a7ba59ac3a30d00dbd607707b90ac9096360414e85c27a | arxiv | 1908.10084 |
artifact_00962decb5c0002255a7ba59ac3a30d00dbd607707b90ac9096360414e85c27a | huggingface:model | DataikuNLP/paraphrase-albert-small-v2 |
artifact_00971d06e5afbb89858e6321af5d2f3cd62e70cda91aa0b4d19873d2eace1087 | huggingface:model | Culmenus/opus-mt-de-is-finetuned-de-to-is_ancc |
artifact_009c62a58b2dba766e91429c9e128681f8f20843acc9a8b4ac54cb8e64a9e1b2 | torchvision:weight-enum | MViT_V1_B_Weights |
artifact_009c98bd1edf112b14fd396b9060994e607831b106f25379491f679bd659b6a9 | huggingface:model | Edomonndo/opus-mt-ja-en-finetuned-ja-to-en_xml |
artifact_009f00028ebde3ea658e6c1c60141021659158b5178f9f69cf57c1ab80689a5c | huggingface:model | Leonel/DialoGPT-small-chandler |
artifact_00a7c508a7f3a15b4df043eb008a03b9702151e203455298f50d57d50af14bdc | huggingface:model | Aliskin/xlm-roberta-base-finetuned-marc |
artifact_00a8788747e8986b3b6b5a3b8580935ef628dc6564735213a456e21d4b077ae9 | onnx:model-zoo-artifact | validated/vision/object_detection_segmentation/yolov3 |
artifact_00aa4c51b79a5ecb1ff188ba8771143acaf2a05d691ba23bf75c2fed4be6b34f | huggingface:model | anas-awadalla/spanbert-base-cased-few-shot-k-128-finetuned-squad-seed-6 |
artifact_00ae24cdd75752ad9b8d1127b90ae1f5fee47901abbeeb6b6caeaa49673a596d | huggingface:model | JeremyS/distilbert-base-uncased-finetuned-cola |
artifact_00b17473cd2e5a8fac903b6fad19b77bfd80b592b419abcd8dd574376b2ed988 | timm:model | eca_botnext26ts_256 |
artifact_00b193eb3b7970a7616e811b50ab91afe933642abab437ac01da6b72f7d83a11 | huggingface:model | SetFit/distilbert-base-uncased__subj__train-8-5 |
artifact_00b1f5687fcd38b62f38c6d8f9801f0e24ad92d0e7286eddfd2cb18f259ccbb4 | openrouter:model | openai/gpt-3.5-turbo-0613 |
artifact_00c0828fd8c599c3730803e5e0fc50f02626350ab4f6b062e49fcf3a48da918f | huggingface:model | TaahaKazi/joke-generator |
artifact_00c2634fc837744dd332833da85ce3599273e9d0b9825153f30599d403e658e2 | huggingface:model | Vuong/wav2vec2-large-xls-r-300m-turkish-colab |
artifact_00d58a7b9e6f1dc14b03949039ae89de51820e8376e4a8ed21b500da2dee7b6f | huggingface:model | Ysa/Chat-Pizza |
artifact_00e24dfe8fec3595d781351d4cdb916bdb0c5a3f0bd703f0956b778f3e5e1121 | huggingface:model | Motahar/clickbait-identification-content-transformer-finetuning |
artifact_00e9007e4e1c1c95c02aa7787d23e044f3a57689a2bf7899703feaac48028f8c | huggingface:model | Deniskin/essays_small_2000 |
artifact_00ec718e10a9d5414af8b9424e3215305f8c9449bd289a306ea530d8d888ddf7 | huggingface:model | Helsinki-NLP/opus-mt-iso-es |
artifact_00edb5366cbb7d015f82f08869fd0c4e07ebfdd7c36c13a6748a62e04e2052bf | huggingface:model | Edwardlzy/blenderbot_small-90M-finetuned-xsum |
artifact_00f5ef4807cd6e6b9406c3767ebb6132ddae4cdacc79d0150b8ddf0401bdfd2b | huggingface:model | Aviora/news2vec |
artifact_00f6a27ba4335fc6f3702c22a17af3cf4007f491539e83d99b05a1027f304570 | arxiv | 1901.07291 |
artifact_00f6a27ba4335fc6f3702c22a17af3cf4007f491539e83d99b05a1027f304570 | arxiv | 1910.09700 |
artifact_00f6a27ba4335fc6f3702c22a17af3cf4007f491539e83d99b05a1027f304570 | huggingface:model | FacebookAI/xlm-clm-enfr-1024 |
artifact_00fa008be30d1d77fe3a4a303e94967a766917dea946b86e43bb77357b28d53a | huggingface:model | MGeelen96/DeBERTa_legal_SBD |
artifact_00ff86f9ff4a6a9566bf9a75a7bcd060c7eecad5e131d671c95d8b722fae7c00 | huggingface:model | akreal/tiny-random-t5 |
artifact_01023390a2d8a86091c50a7fe250888a254554b90c82281c0fe2d5ebb4c06c6b | modelscope:model | Comfy-Org/SeedVR2 |
artifact_0104c6f403e83a53db5f664ccba5a94c36311cbb43d727a3315c50cc5e3d1685 | huggingface:model | ZehaoLiu/distilbert-base-uncased-finetuned-squad1 |
artifact_0106ffcdfd224612e2c9e116c2cdec928da0126931c2769b1a85f6eb6084177e | huggingface:model | Shushant/biobert-v1.1-biomedicalQuestionAnswering |
artifact_010a6ac422dacd8c12e43fbed20f44fd6efffe87364470d86b3d7ee5b90bd47b | openrouter:model | openai/gpt-6-luna |
artifact_010c712bff25307cb505e05ea82cdd926b9254707886e39669d9ef021f5260ba | huggingface:model | Helsinki-NLP/opus-mt-sg-sv |
artifact_01154c7935a55bf7805edcc4577d7543cf33d823c1696db3b4d441d66ba595df | huggingface:model | Tsubasaz/clinical-pubmed-bert-base-512 |
artifact_011c29f4c3ef2a6bd199e541a492b3a8e88c6046b67afac3e79b3bdf3ed9e091 | huggingface:model | Helsinki-NLP/opus-mt-tvl-es |
artifact_011cc1699a7073e273495a7f9dce4dab22fad986652f38f92d0f161dcf0a5f4a | timm:model | iformer_l |
artifact_01221925798fa05e0b93fb93eb2191fb67bca79fbbe73341ba3e330995577126 | huggingface:model | Lucdi90/DialoGPT-medium-XiaoBot |
artifact_0123fc892e3fcbf1c0b484df433f2eb4d7f069c0b3bc0f2f680f3b671c8a1c1c | keras-hub:preset | keras_hub/src/models/mit/mit_presets.py:backbone_presets:mit_b0_ade20k_512 |
artifact_012851946f5c142276051d18ad51454ac22e7b7a0395e1b34c2bbf0c54b38ab7 | huggingface:model | RizqFarIDN/DialoGPT-small-harrypotter |
artifact_012894da5b2bbcd3abb95519e02812698813b4e503bb1dfca67d609b2f31b292 | huggingface:model | akhooli/mbart-large-cc25-en-ar |
artifact_0130580b720943018e024331b1b0590e51882ae9301e8c39e58434e7a4c07f56 | huggingface:model | anas-awadalla/bert-base-uncased-few-shot-k-128-finetuned-squad-seed-4 |
artifact_013baed46c1e4acc0ad11c3f46779ee1596fd00b4f7eb17276b5356b54a35d90 | huggingface:model | ThinkCERCA/counterargument_hugging |
artifact_0141f368fc8c6a206fc4784e4cf6f5e0c5875f714f4cf83d60c6c3bd79961701 | huggingface:model | RASMUS/wav2vec2-xlsr-fi-lm-1B |
artifact_0151c1ec387e2f3d17dc5485f386f2fc3a3722feaa08b30cb239919502521f3d | huggingface:model | Simovod/DialoGPT-small-joshua34 |
artifact_01637526a073616908b03a689679f4dc92c303a88c7d09333d9d762db9462777 | huggingface:model | anas-awadalla/roberta-base-few-shot-k-1024-finetuned-squad-seed-6 |
artifact_0164eb65a70c514f933a4c7e73ab4aaee0ea701b1e904eeccb0813b193cb426c | huggingface:model | CoderEFE/DialoGPT-medium-marx |
artifact_0169e8fda6c6d25e1cd6bd34313a608a977ba8a168ffc972f33f5ee47922f73f | huggingface:model | Aliyyu/Keren |
artifact_016a4819f0f6e6b766fb0fd48814c3bf33b2f0812eb8d1b5f3d392b2f739a114 | modelscope:model | unsloth/Qwen3.5-2B-GGUF |
artifact_016a8e5ee20f15c3019a919d4281d6fd36b44f7281e3212754c2900406df7ceb | huggingface:model | Luciano/bert-base-portuguese-cased-finetuned-peticoes |
artifact_0173a18b683003c0e80d0156e8d336ff000c326c008016be432ce8b6398e5d27 | huggingface:model | allenai/dsp_roberta_base_tapt_rct_180K |
artifact_017e3bd8b1714356641187527994ccf40f8c275e5f43dc6eeb39df3de29645c0 | timm:model | vit_pe_lang_gigantic_patch14_448 |
artifact_0190821a25b11b3fa4068f589ffed0bc2a72ca47a75fa4499acac30a829ce643 | huggingface:model | JihyukKim/cbert-aleqd-s100-b36-g2-ib-hn |
artifact_0190ac2d10fdac49001942e1c97cb588fde6ed5201f9580d9ece5dc2539e50d0 | huggingface:model | Helsinki-NLP/opus-mt-sv-bzs |
artifact_019d66f26d8f1ba788a0d5a744948ac8d99880fba90ca3d4dc2d9ac27e7a0c6f | huggingface:model | Helsinki-NLP/opus-mt-fi-bcl |
artifact_019f94486ddaad70d91fd46f5acb6704fc6bb0b8bc264124c30e7423e55c0ce5 | huggingface:model | PremalMatalia/roberta-base-best-squad2 |
artifact_01a8edf8b7c5ea16e8cf9e59b6d56e9868a4ebe0d12f01f6c5349c180cdb87e4 | arxiv | 1908.10084 |
artifact_01a8edf8b7c5ea16e8cf9e59b6d56e9868a4ebe0d12f01f6c5349c180cdb87e4 | huggingface:model | DataikuNLP/paraphrase-multilingual-MiniLM-L12-v2 |
artifact_01a9a8f0964f96ecdf3a45eb6be7fe23d17cf178c27649e4f6502296f41ac289 | huggingface:model | ShauryaP24/DialoGPT-small-pratyush |
artifact_01af13ab24835bb2be4cf1a547ef24759afeccaf98129d885ac80065ec9dd49e | huggingface:model | Helsinki-NLP/opus-mt-iso-fr |
artifact_01be64ad69835fcb09155094f9fe120d7d9f540557650ca917b4e83f502c1b11 | openrouter:model | google/gemini-3.5-flash:batch |
artifact_01c797dd7f99d6201d6fa884c690ec20de0b4a498272115950e5ada01ceac17e | huggingface:model | Helsinki-NLP/opus-mt-tl-es |
artifact_01ca61d7c6bb6ebe57957d8c2f942d70ed418dafa676bf1c2c80f4499ddd54c6 | huggingface:dataset | Abdou/dz-sentiment-yt-comments |
artifact_01ca61d7c6bb6ebe57957d8c2f942d70ed418dafa676bf1c2c80f4499ddd54c6 | huggingface:model | Abdou/arabert-base-algerian |
artifact_01cb023420da86ec2f253c0101e9cb149149334a185e9e887f032147000afb52 | huggingface:model | alexander-karpov/bert-eatable-classification-en-ru |
artifact_01cf8f4030c3841e09394685cf6a9a073166c02d92500345fbef86152bad3a86 | huggingface:model | Hamas/DialoGPT-large-jake |
artifact_01d25fcd6c2e17186e92c39ac4cb9ebe9e49af84c54754510482fa66649d57b4 | huggingface:model | Helsinki-NLP/opus-mt-war-fi |
artifact_01d9b0ec8fd792f2bebe953a87d82deea3861ba219de2c8399b23d3b076d443a | huggingface:model | Whitez/Chickenbot |
artifact_01df8e414e5ad96bb69a5989b20d6c54063d8bdab48d7c36fee117ccb553ffe1 | huggingface:model | Temur/qartvelian-roberta-base |
artifact_01dfed2fb667836336f3fdc9e8d74d69c7920d006015be98861929d80b95d189 | huggingface:model | EhsanYB/distilbert-finetuned-ner |
artifact_01e1282a850a3df97d50ef1ef9c53de1de7350ce0fb7989e636d0f46e261f3bb | modelscope:model | kusuriuri/IndexTTS-2-vLLM |
MODELOME v0.1.0
MODELOME is a provenance-preserving catalog of model, method, and technique entries with source-attributed identifiers and resource references. It is a metadata dataset; it contains no model weights or media.
Snapshot
This bounded snapshot has 44 shards and 26,082 entry rows, comprising 25,816 distinct exact entry IDs and 266 repeated rows across shards. Shard counts are summed without global deduplication; repeated IDs remain present in their source shards. This is partial coverage, not an exhaustive inventory.
The release-index.json records shard prefixes, counts, source observations, and integrity digests. The core shard replaces the v10 core with a newer Hugging Face continuation: 101 pages and 10,100 records seen, with upstream total unavailable and a resumable cursor. Source checkpoints describe the observed coverage. In particular, TensorFlow Hub reached cursor 475 of 2,371 eligible paths and remains partial, with 1,896 paths unvisited. The overlap-report.json records integrity and cross-shard identity checks: there are no exact-ID name conflicts, no normalized-name conflicts for repeated IDs, and no shared (member.source, member.source_record_id) pairs across shards.
Forty exact IDs repeat between the architecture-audio and Torchaudio shards. These are source-corroborating rows with consistent names; they are retained in both shards. ESPnet's validated_by_espnet status is preserved: 160 rows are true and two are false. The false rows remain historical source-listed identities with declared references and do not assert current validation or operational weights. Twelve source-declared same_artifact links remain in the language shard; no global merge is performed.
Files and layout
Each shard has the same bundle layout beneath its prefix. The root shard uses these paths directly; additional shards are under their indexed sources/<prefix>/ paths.
entries/entries.jsonlcontains one JSON object per entry, including its exact ID, canonical name, aliases, identifiers, tags, source members, resources, releases, citations, and declared model relations.metadata/*.parquetcontains normalized relational tables for models, artifacts, identifiers, aliases, releases, and source links.manifest.jsonand the entry manifest record counts and SHA-256 checksums for each shard.seeds.jsonlpreserves the reusable entry seeds used to form the catalog.
Source declarations and references remain attached to their provenance. Source-level terms and licenses continue to apply; users should follow the cited sources for their materials.
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