model_id stringlengths 11 59 | org stringlengths 4 21 | family stringlengths 2 21 | base_model stringclasses 9
values | derivative stringclasses 3
values | task stringlengths 9 30 ⌀ | library stringclasses 6
values | downloads_30d int64 9.54M 179M | downloads_all_time int64 18M 4.23B | likes int64 94 7.37k | trending_score float64 0 56 | gated bool 1
class | license stringclasses 3
values | gguf bool 1
class | created_at stringlengths 24 24 | last_modified stringlengths 24 24 | url stringlengths 34 82 | downloads_30d_nov5 float64 9.59M 180M | likes_nov5 float64 94 7.35k | downloads_30d_change_1d float64 -2,012,262 3.1M | likes_change_1d float64 0 18 | rank_downloads_30d int64 1 25 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
sentence-transformers/all-MiniLM-L6-v2 | sentence-transformers | BERT family | nreimers/MiniLM-L6-H384-uncased | quantized | sentence-similarity | sentence-transformers | 179,340,518 | 4,225,252,334 | 6,073 | 24 | 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 | 180,244,226 | 6,071 | -903,708 | 2 | 1 |
cross-encoder/ms-marco-MiniLM-L6-v2 | cross-encoder | BERT family | cross-encoder/ms-marco-MiniLM-L12-v2 | quantized | text-ranking | sentence-transformers | 64,330,758 | 686,750,176 | 439 | 1 | 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 | 64,909,734 | 439 | -578,976 | 0 | 2 |
BAAI/bge-small-en-v1.5 | BAAI | E5/BGE/GTE embeddings | null | original | feature-extraction | sentence-transformers | 48,008,695 | 551,658,351 | 668 | 5 | false | mit | false | 2023-09-12T05:20:55.000Z | 2024-02-22T03:36:23.000Z | https://huggingface.co/BAAI/bge-small-en-v1.5 | 48,396,039 | 666 | -387,344 | 2 | 3 |
argmaxinc/whisperkit-coreml | argmaxinc | Whisper | null | original | automatic-speech-recognition | whisperkit | 41,163,594 | 123,442,573 | 260 | 0 | false | mit | false | 2024-02-28T08:05:21.000Z | 2026-08-19T16:57:48.000Z | https://huggingface.co/argmaxinc/whisperkit-coreml | 38,067,007 | 260 | 3,096,587 | 0 | 4 |
Comfy-Org/MiniMax-H3 | Comfy-Org | Other | MiniMaxAI/MiniMax-H3 | fine-tune | null | diffusion-single-file | 32,028,280 | 83,611,707 | 2,537 | 56 | false | other | false | 2026-07-30T22:36:12.000Z | 2026-11-02T21:17:20.000Z | https://huggingface.co/Comfy-Org/MiniMax-H3 | 31,938,730 | 2,529 | 89,550 | 8 | 5 |
openai-community/gpt2 | openai-community | gpt2 | null | original | text-generation | transformers | 30,819,442 | 966,443,213 | 3,919 | 12 | false | mit | false | 2022-03-02T23:29:04.000Z | 2024-02-19T10:57:45.000Z | https://huggingface.co/openai-community/gpt2 | 30,423,088 | 3,915 | 396,354 | 4 | 6 |
google-bert/bert-base-uncased | google-bert | BERT family | null | original | fill-mask | transformers | 30,393,311 | 3,286,667,079 | 3,063 | 2 | 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 | 30,006,776 | 3,060 | 386,535 | 3 | 7 |
BAAI/bge-m3 | BAAI | E5/BGE/GTE embeddings | null | original | sentence-similarity | sentence-transformers | 30,047,805 | 359,979,070 | 3,969 | 5.5 | false | mit | false | 2024-01-27T17:07:29.000Z | 2024-07-03T14:50:10.000Z | https://huggingface.co/BAAI/bge-m3 | 30,253,933 | 3,968 | -206,128 | 1 | 8 |
sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 | sentence-transformers | BERT family | null | original | sentence-similarity | sentence-transformers | 27,521,613 | 669,159,707 | 1,499 | 2 | 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 | 27,752,721 | 1,498 | -231,108 | 1 | 9 |
autogluon/chronos-2 | autogluon | t5 | null | original | time-series-forecasting | chronos-forecasting | 27,092,791 | 102,217,723 | 94 | 1 | false | apache-2.0 | false | 2025-10-06T18:52:51.000Z | 2026-06-05T11:59:59.000Z | https://huggingface.co/autogluon/chronos-2 | 26,281,586 | 94 | 811,205 | 0 | 10 |
google-t5/t5-small | google-t5 | T5 | null | original | translation | transformers | 22,290,342 | 304,073,000 | 692 | 3 | false | apache-2.0 | false | 2022-03-02T23:29:04.000Z | 2023-06-30T02:31:26.000Z | https://huggingface.co/google-t5/t5-small | 22,579,643 | 691 | -289,301 | 1 | 11 |
Qwen/Qwen3-0.6B | Qwen | Qwen | Qwen/Qwen3-0.6B-Base | fine-tune | text-generation | transformers | 21,472,241 | 260,217,258 | 1,882 | 11 | false | apache-2.0 | false | 2025-04-27T03:40:08.000Z | 2025-07-26T03:46:27.000Z | https://huggingface.co/Qwen/Qwen3-0.6B | 21,747,681 | 1,877 | -275,440 | 5 | 12 |
sentence-transformers/all-mpnet-base-v2 | sentence-transformers | BERT family | null | original | sentence-similarity | sentence-transformers | 20,391,022 | 1,372,319,336 | 1,404 | 2 | 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 | 20,288,297 | 1,404 | 102,725 | 0 | 13 |
openai/clip-vit-base-patch32 | openai | CLIP/SigLIP | null | original | zero-shot-image-classification | transformers | 17,628,560 | 713,128,451 | 1,274 | 2 | false | null | false | 2022-03-02T23:29:05.000Z | 2024-02-29T09:45:55.000Z | https://huggingface.co/openai/clip-vit-base-patch32 | 17,638,891 | 1,273 | -10,331 | 1 | 14 |
jonatasgrosman/wav2vec2-large-xlsr-53-japanese | jonatasgrosman | wav2vec/TTS | null | original | automatic-speech-recognition | transformers | 16,198,203 | 125,831,405 | 118 | 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 | 16,153,803 | 118 | 44,400 | 0 | 15 |
google/vit-base-patch16-224 | google | ViT | null | original | image-classification | transformers | 15,896,367 | 206,929,706 | 1,050 | 2 | 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 | 16,245,542 | 1,050 | -349,175 | 0 | 16 |
timm/mobilenetv3_small_100.lamb_in1k | timm | Other | null | original | image-classification | timm | 14,452,463 | 1,189,507,453 | 157 | 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 | 14,873,217 | 157 | -420,754 | 0 | 17 |
BAAI/bge-reranker-v2-m3 | BAAI | E5/BGE/GTE embeddings | null | original | text-classification | sentence-transformers | 14,401,262 | 165,173,098 | 1,291 | 6 | 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 | 14,380,023 | 1,290 | 21,239 | 1 | 18 |
Qwen/Qwen3-14B | Qwen | Qwen | Qwen/Qwen3-14B-Base | fine-tune | text-generation | transformers | 12,857,255 | 44,885,354 | 533 | 2 | false | apache-2.0 | false | 2025-04-27T03:42:45.000Z | 2025-07-26T03:49:23.000Z | https://huggingface.co/Qwen/Qwen3-14B | 12,937,511 | 533 | -80,256 | 0 | 19 |
hexgrad/Kokoro-82M | hexgrad | wav2vec/TTS | yl4579/StyleTTS2-LJSpeech | fine-tune | text-to-speech | null | 12,034,824 | 140,964,944 | 7,368 | 46 | false | apache-2.0 | false | 2024-12-26T00:20:08.000Z | 2025-04-10T18:12:48.000Z | https://huggingface.co/hexgrad/Kokoro-82M | 11,880,507 | 7,350 | 154,317 | 18 | 20 |
nomic-ai/nomic-embed-text-v1.5 | nomic-ai | E5/BGE/GTE embeddings | null | original | sentence-similarity | sentence-transformers | 11,686,117 | 176,745,147 | 988 | 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 | 11,693,217 | 988 | -7,100 | 0 | 21 |
Comfy-Org/Qwen-Image-2.1 | Comfy-Org | Qwen | Qwen/Qwen-Image-2.1 | fine-tune | text-to-image | diffusion-single-file | 10,543,487 | 17,980,434 | 1,284 | 42 | false | other | false | 2026-09-15T19:41:09.000Z | 2026-10-29T23:54:55.000Z | https://huggingface.co/Comfy-Org/Qwen-Image-2.1 | 10,596,593 | 1,276 | -53,106 | 8 | 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 | 9,723,586 | 99,704,011 | 1,003 | 14 | 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 | 9,689,488 | 999 | 34,098 | 4 | 23 |
Comfy-Org/Z-Image-Turbo | Comfy-Org | Other | Tongyi-MAI/Z-Image-Turbo | fine-tune | null | diffusion-single-file | 9,601,922 | 54,931,125 | 1,016 | 7 | 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 | 9,591,061 | 1,016 | 10,861 | 0 | 24 |
google/electra-base-discriminator | google | BERT family | null | original | null | transformers | 9,539,134 | 970,281,160 | 218 | 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 | 11,551,396 | 218 | -2,012,262 | 0 | 25 |
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/.
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/. 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
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