snapshot_date stringdate 2026-10-04 00:00:00 2026-10-04 00:00:00 | model_id stringlengths 11 59 | author stringlengths 4 21 | pipeline_tag stringlengths 9 30 ⌀ | downloads int64 7.25M 237M | likes int64 19 7.12k | trending_score float64 |
|---|---|---|---|---|---|---|
2026-10-04 | sentence-transformers/all-MiniLM-L6-v2 | sentence-transformers | sentence-similarity | 237,133,386 | 6,176 | null |
2026-10-04 | cross-encoder/ms-marco-MiniLM-L6-v2 | cross-encoder | text-ranking | 84,541,845 | 354 | null |
2026-10-04 | BAAI/bge-small-en-v1.5 | BAAI | feature-extraction | 62,671,221 | 597 | null |
2026-10-04 | sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 | sentence-transformers | sentence-similarity | 51,417,545 | 1,418 | null |
2026-10-04 | google/electra-base-discriminator | google | null | 46,003,086 | 191 | null |
2026-10-04 | google-bert/bert-base-uncased | google-bert | fill-mask | 38,930,746 | 3,386 | null |
2026-10-04 | BAAI/bge-m3 | BAAI | sentence-similarity | 34,394,329 | 3,808 | null |
2026-10-04 | Qwen/Qwen3-0.6B | Qwen | text-generation | 29,646,527 | 1,727 | null |
2026-10-04 | google-t5/t5-small | google-t5 | translation | 24,550,202 | 648 | null |
2026-10-04 | Comfy-Org/MiniMax-H3 | Comfy-Org | null | 22,960,987 | 2,120 | null |
2026-10-04 | amazon/chronos-2 | amazon | time-series-forecasting | 22,827,283 | 503 | null |
2026-10-04 | timm/mobilenetv3_small_100.lamb_in1k | timm | image-classification | 21,929,606 | 124 | null |
2026-10-04 | openai/clip-vit-base-patch32 | openai | zero-shot-image-classification | 20,791,318 | 1,577 | null |
2026-10-04 | sentence-transformers/all-mpnet-base-v2 | sentence-transformers | sentence-similarity | 19,366,264 | 1,381 | null |
2026-10-04 | BAAI/bge-reranker-v2-m3 | BAAI | text-classification | 17,019,450 | 1,224 | null |
2026-10-04 | jonatasgrosman/wav2vec2-large-xlsr-53-japanese | jonatasgrosman | automatic-speech-recognition | 16,330,293 | 88 | null |
2026-10-04 | FacebookAI/xlm-roberta-base | FacebookAI | fill-mask | 15,816,905 | 927 | null |
2026-10-04 | openai-community/gpt2 | openai-community | text-generation | 15,508,105 | 4,196 | null |
2026-10-04 | Qwen/Qwen3-VL-8B-Instruct | Qwen | image-text-to-text | 14,599,193 | 1,164 | null |
2026-10-04 | nomic-ai/nomic-embed-text-v1.5 | nomic-ai | sentence-similarity | 13,082,650 | 943 | null |
2026-10-04 | google/gemma-4-26B-A4B-it | google | image-text-to-text | 12,963,043 | 1,589 | null |
2026-10-04 | intfloat/multilingual-e5-small | intfloat | sentence-similarity | 11,370,518 | 437 | null |
2026-10-04 | hexgrad/Kokoro-82M | hexgrad | text-to-speech | 11,314,652 | 7,115 | null |
2026-10-04 | google/vit-base-patch16-224 | google | image-classification | 10,732,106 | 1,007 | null |
2026-10-04 | argmaxinc/whisperkit-coreml | argmaxinc | automatic-speech-recognition | 10,697,053 | 235 | null |
2026-10-04 | Qwen/Qwen3-8B | Qwen | text-generation | 10,145,616 | 2,071 | null |
2026-10-04 | BAAI/bge-base-en-v1.5 | BAAI | feature-extraction | 9,892,743 | 505 | null |
2026-10-04 | google/gemma-4-31B-it | google | image-text-to-text | 9,875,118 | 4,012 | null |
2026-10-04 | sentence-transformers/paraphrase-multilingual-mpnet-base-v2 | sentence-transformers | sentence-similarity | 9,837,859 | 525 | null |
2026-10-04 | Bingsu/adetailer | Bingsu | null | 9,796,208 | 795 | null |
2026-10-04 | BAAI/bge-large-en-v1.5 | BAAI | feature-extraction | 9,784,655 | 745 | null |
2026-10-04 | Qwen/Qwen3-Embedding-0.6B | Qwen | feature-extraction | 9,558,268 | 1,258 | null |
2026-10-04 | Comfy-Org/Krea-2 | Comfy-Org | null | 9,465,662 | 637 | null |
2026-10-04 | mudler/locate-anything.cpp-gguf | mudler | object-detection | 9,141,505 | 19 | null |
2026-10-04 | Qwen/Qwen3.5-9B | Qwen | image-text-to-text | 9,047,776 | 2,095 | null |
2026-10-04 | Qwen/Qwen2.5-0.5B-Instruct | Qwen | text-generation | 8,672,799 | 653 | null |
2026-10-04 | openai/clip-vit-large-patch14 | openai | zero-shot-image-classification | 8,641,079 | 2,103 | null |
2026-10-04 | trl-internal-testing/tiny-Qwen2ForCausalLM-2.5 | trl-internal-testing | text-generation | 8,538,488 | 56 | null |
2026-10-04 | Comfy-Org/z_image_turbo | Comfy-Org | null | 8,422,586 | 925 | null |
2026-10-04 | Qwen/Qwen2.5-7B-Instruct | Qwen | text-generation | 8,347,612 | 2,403 | null |
2026-10-04 | unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF | unsloth | text-generation | 8,240,846 | 1,102 | null |
2026-10-04 | distilbert/distilbert-base-uncased | distilbert | fill-mask | 8,158,868 | 1,474 | null |
2026-10-04 | facebook/contriever | facebook | null | 8,118,163 | 122 | null |
2026-10-04 | laion/clap-htsat-fused | laion | audio-classification | 7,981,157 | 150 | null |
2026-10-04 | FacebookAI/roberta-base | FacebookAI | fill-mask | 7,881,575 | 667 | null |
2026-10-04 | Qwen/Qwen3.5-4B | Qwen | image-text-to-text | 7,791,996 | 1,004 | null |
2026-10-04 | Qwen/Qwen3-4B | Qwen | text-generation | 7,669,919 | 720 | null |
2026-10-04 | meta-llama/Llama-3.2-1B-Instruct | meta-llama | text-generation | 7,575,085 | 1,778 | null |
2026-10-04 | Qwen/Qwen2.5-1.5B-Instruct | Qwen | text-generation | 7,260,924 | 863 | null |
2026-10-04 | intfloat/multilingual-e5-large | intfloat | feature-extraction | 7,254,069 | 1,260 | null |
Datamata AI Model Popularity Index
Weekly popularity of the most-downloaded and trending Hugging Face models: trailing downloads, likes, the model's task and its trending rank. One row per model from the most recent weekly snapshot.
- Latest snapshot: 2026-10-04
- Models in this release: 50
- Updated: weekly
- Licence: CC BY 4.0 — free to use and adapt, including commercially, with attribution.
- Source & methodology: https://www.datamatastudios.com/datasets
Quickstart
import pandas as pd
# Stream straight from the Hub — no download step needed
df = pd.read_csv("hf://datasets/datamatastudios/ai-model-popularity/ai-model-popularity.csv")
# Most-downloaded models right now
print(df.sort_values("downloads", ascending=False).head(10))
Or load it with the 🤗 datasets library:
from datasets import load_dataset
ds = load_dataset("datamatastudios/ai-model-popularity")
What you can answer with it
- Which Hugging Face models lead by downloads and likes right now.
- Which models are trending this week (
trending_score) versus steady high-download workhorses. - How popularity splits by task (
pipeline_tag) — text-generation, text-to-image, embeddings and more. - How a model's popularity moves over time, by appending each weekly snapshot.
Columns
| Column | Type | Description |
|---|---|---|
snapshot_date |
string | UTC date the snapshot was taken (YYYY-MM-DD). |
model_id |
string | Hugging Face model identifier (e.g. meta-llama/Llama-3-8B). |
author |
string | Owning org or user (the part of model_id before the slash). Blank for un-namespaced models. |
pipeline_tag |
string | Primary task the model is tagged with (e.g. text-generation, text-to-image). Blank if untagged. |
downloads |
number | Hugging Face downloads in the trailing 30 days on the snapshot date. |
likes |
number | Hugging Face likes on the snapshot date. |
trending_score |
number | Hugging Face trending score on the snapshot date. Blank for models that ranked by downloads only. |
How it is built
Each week we query the public Hugging Face Hub API for the top models by trailing-30-day downloads and the current trending models, recording each model's downloads, likes, task tag and trending score on the snapshot date. Full method and known limitations: https://www.datamatastudios.com/methodology.
Citation
Datamata Studios. "Datamata AI Model Popularity Index." 2026-10-04. https://www.datamatastudios.com/datasets. Licensed under CC BY 4.0.
- Downloads last month
- 8,667