Datasets:

tensorust
/

hf-model-adoption-sample

+---
+license: other
+license_name: tensorust-sample-license
+license_link: https://tensorust.com/datasets/hf-model-adoption/
+pretty_name: "Open Model Adoption Tracker (free sample)"
+language:
+- en
+tags:
+- tensorust
+- sample
+- agent-ai-economy
+- government-data
+- finance
+size_categories:
+- n<1K
+configs:
+- config_name: sample
+  data_files:
+  - split: train
+    path: sample.csv
+- config_name: summary
+  data_files:
+  - split: train
+    path: summary_by_task.csv
+---
+# Open Model Adoption Tracker: free sample (Tensorust LLC)
+The 50,000 most-pulled open models on Hugging Face with downloads, likes and trend, rolled up by family and org: BERT family, Qwen and E5/BGE/GTE embeddings are the most-pulled named families.
+**Headline:** A lab's own download count understates its reach: most of an open model family's pulls go to other people's fine-tunes, quantizations and merges, and nobody reports that number.
+This repository is a **free teaser**, not the dataset. It holds 25 example rows and a summary table with no names in it. The full file has **50,000 rows** and is sold by Tensorust LLC: **[https://tensorust.com/datasets/hf-model-adoption/](https://tensorust.com/datasets/hf-model-adoption/)**.
+## Files here
+| file | what it is |
+|---|---|
+| `sample.csv` | 25 rows of the full file (the same sample shown on tensorust.com) |
+| `summary_by_task.csv` | row counts and totals by task across the full file, no entity names (groups with fewer than 3 rows are folded into "Other") |
+## Summary by task (largest groups)
+| Task | rows | Downloads, last 30 days |
+|---|---|---|
+| (blank) | 19,132 | 313,304,181 |
+| text-generation | 13,895 | 430,487,850 |
+| image-text-to-text | 4,137 | 315,766,154 |
+| text-to-image | 1,698 | 63,387,815 |
+| image-classification | 1,080 | 76,427,990 |
+| automatic-speech-recognition | 1,023 | 207,391,156 |
+| token-classification | 955 | 53,001,835 |
+| text-classification | 913 | 64,256,024 |
+| feature-extraction | 738 | 147,524,861 |
+| text-to-speech | 642 | 54,666,142 |
+| sentence-similarity | 617 | 362,820,092 |
+| fill-mask | 553 | 107,061,547 |
+| TOTAL | 50,000 | 2,636,516,536 |
+Full table: `summary_by_task.csv`.
+## What the full file has
+- 50,000 rows
+- Key fields: model_id, org, family, base_model, derivative, task, library, downloads_30d, downloads_all_time, likes
+- Parquet and CSV, a README with sources, method and limits, and the build script
+- Free 25-row sample (no personal contact data)
+Coverage: Top 50,000 models by 30-day downloads (Hugging Face hosts over two million); 9,182 orgs. Hugging Face API pull of Nov 6, 2026 (change columns compare with the Nov 5, 2026 pull of the top 200)
+### Columns in the full file
+| column | meaning |
+|---|---|
+| `model_id` | Model repo |
+| `org` | Publishing org or user |
+| `family` | Model family |
+| `base_model` | Declared base model |
+| `derivative` | original, fine-tune, quantized, adapter or merge |
+| `task` | Pipeline task |
+| `library` | Library |
+| `downloads_30d` | Downloads in the last 30 days |
+| `downloads_all_time` | All-time downloads |
+| `likes` | Likes |
+| `trending_score` | Hugging Face trending score |
+| `gated` | Gated access |
+| `license` | License tag |
+| `gguf` | Has GGUF files |
+| `created_at` | Created |
+| `last_modified` | Last modified |
+| `url` | Model page |
+| `downloads_30d_nov5` | 30-day downloads in the Nov 5 pull (top 200 only) |
+| `likes_nov5` | Likes on Nov 5 (top 200 only) |
+| `downloads_30d_change_1d` | Change since Nov 5 |
+| `likes_change_1d` | Like change since Nov 5 |
+| `rank_downloads_30d` | Rank by 30-day downloads |
+## Get the full file
+| tier | price | includes |
+|---|---|---|
+| Snapshot file | $900 | All 50,000 models and both rollups. |
+| Weekly tracker | $600 a month | A fresh pull every week with week-over-week change per model, family and org. |
+| Enterprise license | $12,000 a year | Daily pulls, full history, custom family definitions and use across your company. |
+Email **mattbusel@tensorust.com** with the tier and a billing contact, and we will send a proper invoice (ACH or card). The file is delivered once the invoice is paid. Details and the live sample: [https://tensorust.com/datasets/hf-model-adoption/](https://tensorust.com/datasets/hf-model-adoption/). All datasets: https://tensorust.com/datasets/
+## Method and limits
+Page through /api/models sorted by downloads, 1,000 at a time, with downloads, all-time downloads, likes, trending score, tags, task and library. Family comes from the base_model tag where present, else the model id, matched against named family patterns (build.py). Derivative type comes from the base_model relation tags. Rollups sum by org and by family. Change columns exist for the 200 models in the Nov 5 pull; each new pull extends the change history.
+Not usage or inference volume: a download is a file pull, and CI systems and mirrors inflate some counts. Not the whole Hub (top 50,000 by downloads). Family tagging is pattern-based and can misfile a model. Not affiliated with Hugging Face.
+## Sources
+- Hugging Face Hub API, /api/models sorted by downloads, https://huggingface.co/api/models (pulls of Nov 5 and Nov 6 2026)
+## License
+The sample and summary here are free to view, analyze and cite with attribution to "Tensorust LLC, https://tensorust.com/datasets/hf-model-adoption/". The full dataset is licensed separately per tier. No resale or redistribution of Tensorust data without a written license.
+Tensorust LLC, Tuckahoe NY. mattbusel@tensorust.com | https://tensorust.com

sample.csv ADDED Viewed

	@@ -0,0 +1,26 @@

+model_id,org,family,base_model,derivative,task,library,downloads_30d,downloads_all_time,likes,trending_score,gated,license,gguf,created_at,last_modified,url,downloads_30d_nov5,likes_nov5,downloads_30d_change_1d,likes_change_1d,rank_downloads_30d
+sentence-transformers/all-MiniLM-L6-v2,sentence-transformers,BERT family,nreimers/MiniLM-L6-H384-uncased,quantized,sentence-similarity,sentence-transformers,179340518,4225252334,6073,24.0,False,apache-2.0,False,2022-03-02T23:29:05.000Z,2026-06-01T06:29:13.000Z,https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2,180244226.0,6071.0,-903708.0,2.0,1
+cross-encoder/ms-marco-MiniLM-L6-v2,cross-encoder,BERT family,cross-encoder/ms-marco-MiniLM-L12-v2,quantized,text-ranking,sentence-transformers,64330758,686750176,439,1.0,False,apache-2.0,False,2022-03-02T23:29:05.000Z,2026-08-09T15:22:24.000Z,https://huggingface.co/cross-encoder/ms-marco-MiniLM-L6-v2,64909734.0,439.0,-578976.0,0.0,2
+BAAI/bge-small-en-v1.5,BAAI,E5/BGE/GTE embeddings,,original,feature-extraction,sentence-transformers,48008695,551658351,668,5.0,False,mit,False,2023-09-12T05:20:55.000Z,2024-02-22T03:36:23.000Z,https://huggingface.co/BAAI/bge-small-en-v1.5,48396039.0,666.0,-387344.0,2.0,3
+argmaxinc/whisperkit-coreml,argmaxinc,Whisper,,original,automatic-speech-recognition,whisperkit,41163594,123442573,260,0.0,False,mit,False,2024-02-28T08:05:21.000Z,2026-08-19T16:57:48.000Z,https://huggingface.co/argmaxinc/whisperkit-coreml,38067007.0,260.0,3096587.0,0.0,4
+Comfy-Org/MiniMax-H3,Comfy-Org,Other,MiniMaxAI/MiniMax-H3,fine-tune,,diffusion-single-file,32028280,83611707,2537,56.0,False,other,False,2026-07-30T22:36:12.000Z,2026-11-02T21:17:20.000Z,https://huggingface.co/Comfy-Org/MiniMax-H3,31938730.0,2529.0,89550.0,8.0,5
+openai-community/gpt2,openai-community,gpt2,,original,text-generation,transformers,30819442,966443213,3919,12.0,False,mit,False,2022-03-02T23:29:04.000Z,2024-02-19T10:57:45.000Z,https://huggingface.co/openai-community/gpt2,30423088.0,3915.0,396354.0,4.0,6
+google-bert/bert-base-uncased,google-bert,BERT family,,original,fill-mask,transformers,30393311,3286667079,3063,2.0,False,apache-2.0,False,2022-03-02T23:29:04.000Z,2024-02-19T11:06:12.000Z,https://huggingface.co/google-bert/bert-base-uncased,30006776.0,3060.0,386535.0,3.0,7
+BAAI/bge-m3,BAAI,E5/BGE/GTE embeddings,,original,sentence-similarity,sentence-transformers,30047805,359979070,3969,5.5,False,mit,False,2024-01-27T17:07:29.000Z,2024-07-03T14:50:10.000Z,https://huggingface.co/BAAI/bge-m3,30253933.0,3968.0,-206128.0,1.0,8
+sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2,sentence-transformers,BERT family,,original,sentence-similarity,sentence-transformers,27521613,669159707,1499,2.0,False,apache-2.0,False,2022-03-02T23:29:05.000Z,2026-01-28T10:02:26.000Z,https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2,27752721.0,1498.0,-231108.0,1.0,9
+autogluon/chronos-2,autogluon,t5,,original,time-series-forecasting,chronos-forecasting,27092791,102217723,94,1.0,False,apache-2.0,False,2025-10-06T18:52:51.000Z,2026-06-05T11:59:59.000Z,https://huggingface.co/autogluon/chronos-2,26281586.0,94.0,811205.0,0.0,10
+google-t5/t5-small,google-t5,T5,,original,translation,transformers,22290342,304073000,692,3.0,False,apache-2.0,False,2022-03-02T23:29:04.000Z,2023-06-30T02:31:26.000Z,https://huggingface.co/google-t5/t5-small,22579643.0,691.0,-289301.0,1.0,11
+Qwen/Qwen3-0.6B,Qwen,Qwen,Qwen/Qwen3-0.6B-Base,fine-tune,text-generation,transformers,21472241,260217258,1882,11.0,False,apache-2.0,False,2025-04-27T03:40:08.000Z,2025-07-26T03:46:27.000Z,https://huggingface.co/Qwen/Qwen3-0.6B,21747681.0,1877.0,-275440.0,5.0,12
+sentence-transformers/all-mpnet-base-v2,sentence-transformers,BERT family,,original,sentence-similarity,sentence-transformers,20391022,1372319336,1404,2.0,False,apache-2.0,False,2022-03-02T23:29:05.000Z,2025-08-19T10:14:25.000Z,https://huggingface.co/sentence-transformers/all-mpnet-base-v2,20288297.0,1404.0,102725.0,0.0,13
+openai/clip-vit-base-patch32,openai,CLIP/SigLIP,,original,zero-shot-image-classification,transformers,17628560,713128451,1274,2.0,False,,False,2022-03-02T23:29:05.000Z,2024-02-29T09:45:55.000Z,https://huggingface.co/openai/clip-vit-base-patch32,17638891.0,1273.0,-10331.0,1.0,14
+jonatasgrosman/wav2vec2-large-xlsr-53-japanese,jonatasgrosman,wav2vec/TTS,,original,automatic-speech-recognition,transformers,16198203,125831405,118,0.0,False,apache-2.0,False,2022-03-02T23:29:05.000Z,2022-12-14T01:58:09.000Z,https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-japanese,16153803.0,118.0,44400.0,0.0,15
+google/vit-base-patch16-224,google,ViT,,original,image-classification,transformers,15896367,206929706,1050,2.0,False,apache-2.0,False,2022-03-02T23:29:05.000Z,2023-09-05T15:27:12.000Z,https://huggingface.co/google/vit-base-patch16-224,16245542.0,1050.0,-349175.0,0.0,16
+timm/mobilenetv3_small_100.lamb_in1k,timm,Other,,original,image-classification,timm,14452463,1189507453,157,0.0,False,apache-2.0,False,2022-12-16T05:38:36.000Z,2026-10-30T09:10:51.000Z,https://huggingface.co/timm/mobilenetv3_small_100.lamb_in1k,14873217.0,157.0,-420754.0,0.0,17
+BAAI/bge-reranker-v2-m3,BAAI,E5/BGE/GTE embeddings,,original,text-classification,sentence-transformers,14401262,165173098,1291,6.0,False,apache-2.0,False,2024-03-15T13:32:18.000Z,2024-06-24T14:08:45.000Z,https://huggingface.co/BAAI/bge-reranker-v2-m3,14380023.0,1290.0,21239.0,1.0,18
+Qwen/Qwen3-14B,Qwen,Qwen,Qwen/Qwen3-14B-Base,fine-tune,text-generation,transformers,12857255,44885354,533,2.0,False,apache-2.0,False,2025-04-27T03:42:45.000Z,2025-07-26T03:49:23.000Z,https://huggingface.co/Qwen/Qwen3-14B,12937511.0,533.0,-80256.0,0.0,19
+hexgrad/Kokoro-82M,hexgrad,wav2vec/TTS,yl4579/StyleTTS2-LJSpeech,fine-tune,text-to-speech,,12034824,140964944,7368,46.0,False,apache-2.0,False,2024-12-26T00:20:08.000Z,2025-04-10T18:12:48.000Z,https://huggingface.co/hexgrad/Kokoro-82M,11880507.0,7350.0,154317.0,18.0,20
+nomic-ai/nomic-embed-text-v1.5,nomic-ai,E5/BGE/GTE embeddings,,original,sentence-similarity,sentence-transformers,11686117,176745147,988,0.0,False,apache-2.0,False,2024-02-10T06:32:35.000Z,2026-04-07T14:17:02.000Z,https://huggingface.co/nomic-ai/nomic-embed-text-v1.5,11693217.0,988.0,-7100.0,0.0,21
+Comfy-Org/Qwen-Image-2.1,Comfy-Org,Qwen,Qwen/Qwen-Image-2.1,fine-tune,text-to-image,diffusion-single-file,10543487,17980434,1284,42.0,False,other,False,2026-09-15T19:41:09.000Z,2026-10-29T23:54:55.000Z,https://huggingface.co/Comfy-Org/Qwen-Image-2.1,10596593.0,1276.0,-53106.0,8.0,22
+Comfy-Org/Wan-2.2,Comfy-Org,Wan/Hunyuan video,Wan-AI/Wan2.2-Animate-14B,fine-tune,image-to-video,diffusion-single-file,9723586,99704011,1003,14.0,False,apache-2.0,False,2025-07-27T06:56:12.000Z,2026-09-23T06:01:28.000Z,https://huggingface.co/Comfy-Org/Wan-2.2,9689488.0,999.0,34098.0,4.0,23
+Comfy-Org/Z-Image-Turbo,Comfy-Org,Other,Tongyi-MAI/Z-Image-Turbo,fine-tune,,diffusion-single-file,9601922,54931125,1016,7.0,False,apache-2.0,False,2025-11-26T01:00:52.000Z,2026-09-23T08:02:57.000Z,https://huggingface.co/Comfy-Org/Z-Image-Turbo,9591061.0,1016.0,10861.0,0.0,24
+google/electra-base-discriminator,google,BERT family,,original,,transformers,9539134,970281160,218,0.0,False,apache-2.0,False,2022-03-02T23:29:05.000Z,2024-02-29T10:20:20.000Z,https://huggingface.co/google/electra-base-discriminator,11551396.0,218.0,-2012262.0,0.0,25

summary_by_task.csv ADDED Viewed

	@@ -0,0 +1,57 @@

+Task,rows,"Downloads, last 30 days"
+(blank),19132,313304181
+text-generation,13895,430487850
+image-text-to-text,4137,315766154
+text-to-image,1698,63387815
+image-classification,1080,76427990
+automatic-speech-recognition,1023,207391156
+token-classification,955,53001835
+text-classification,913,64256024
+feature-extraction,738,147524861
+text-to-speech,642,54666142
+sentence-similarity,617,362820092
+fill-mask,553,107061547
+translation,419,33426712
+image-to-image,372,12750578
+any-to-any,279,26699160
+image-to-video,277,25463826
+image-feature-extraction,272,18485834
+text-to-video,258,5892492
+image-to-text,236,8340807
+zero-shot-image-classification,218,51420606
+reinforcement-learning,203,616536
+object-detection,190,7160934
+image-segmentation,175,6220314
+text-ranking,143,82471437
+audio-classification,138,15474569
+text-to-audio,126,4768484
+zero-shot-classification,123,6759012
+robotics,121,861231
+time-series-forecasting,99,73389091
+image-text-to-video,86,11108890
+question-answering,85,1989865
+audio-to-audio,74,5421840
+image-to-3d,73,8248765
+depth-estimation,67,5005342
+video-to-video,66,2984950
+summarization,61,2070119
+audio-text-to-text,60,2733327
+video-classification,47,1500554
+video-text-to-text,42,101121
+mask-generation,41,3993412
+visual-document-retrieval,39,678010
+voice-activity-detection,35,6216328
+visual-question-answering,28,723508
+image-text-to-image,25,292182
+zero-shot-object-detection,24,4054795
+keypoint-detection,24,553670
+tabular-classification,20,1204247
+other,19,95803
+unconditional-image-generation,12,57744
+multiple-choice,11,43187
+table-question-answering,9,27691
+text-to-3d,6,37404
+tabular-regression,5,659921
+graph-ml,5,40172
+document-question-answering,4,376419
+TOTAL,50000,2636516536