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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
End of preview. Expand in Data Studio

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.jsonl contains one JSON object per entry, including its exact ID, canonical name, aliases, identifiers, tags, source members, resources, releases, citations, and declared model relations.
  • metadata/*.parquet contains normalized relational tables for models, artifacts, identifiers, aliases, releases, and source links.
  • manifest.json and the entry manifest record counts and SHA-256 checksums for each shard.
  • seeds.jsonl preserves 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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