Skip to main content
Skip to main content

Hugging Face Hub — Top 10,000 Models By Downloads (Task, Library, Licence, Likes)

DatasetCSV.GZOpenHuggingfaceAI ModelsLLMMachine LearningOpen SourceRankingsFree

10,000 most-downloaded models on the Hugging Face Hub ranked by 30-day downloads, with repository id, author, pipeline task, library, downloads, likes, creation and last-modified timestamps, licence tag, gating flag and tag count, from the public Hub API as of 2026-09-06.

Use Cases

  • Open-model adoption tracking
  • Library and task mix of the ecosystem
  • Licence screening for model selection
  • Watchlists of fast-rising models

Methodology

Ten cursor-paginated pages of 1,000 models sorted by downloads, following the Link rel=next header; licence read from the license: tag; gated is true for both auto and manual gating.

Update Schedule

Static snapshot. Hub download counts are rolling 30-day figures that change daily; refresh weekly.

Attribution

Source: Hugging Face Hub public API (huggingface.co/api/models); repository metadata only, each model carries its own licence.

Schema

nametype
rankinteger
model_idstring
authorstring
pipeline_tagstring
library_namestring
downloadsinteger
likesinteger
created_atdate
last_modifieddate
licensestring
gatedboolean
tag_countinteger

Sample Data

rankgatedlikesauthorlicensemodel_iddownloadstag_countcreated_atlibrary_namepipeline_taglast_modified
1false5560sentence-transformersapache-2.0sentence-transformers/all-MiniLM-L6-v2253029336472022-03-02T23:29:05.000Zsentence-transformerssentence-similarity2026-06-01T06:29:13.000Z
2false311cross-encoderapache-2.0cross-encoder/ms-marco-MiniLM-L6-v286493507182022-03-02T23:29:05.000Zsentence-transformerstext-ranking2026-08-09T15:22:24.000Z
3false548BAAImitBAAI/bge-small-en-v1.565591890222023-09-12T05:20:55.000Zsentence-transformersfeature-extraction2024-02-22T03:36:23.000Z
4false158googleapache-2.0google/electra-base-discriminator58408339122022-03-02T23:29:05.000Ztransformers2024-02-29T10:20:20.000Z
5false2986google-bertapache-2.0google-bert/bert-base-uncased52338347202022-03-02T23:29:04.000Ztransformersfill-mask2024-02-19T11:06:12.000Z

Get this via API

# 1. Add dAgentBase once, in any MCP client. No install, no vendor keys.
#    Claude.ai / Claude Desktop: Settings -> Connectors -> Add custom connector
#    Cursor / Claude Code / others: mcp.json
{
  "mcpServers": {
    "dagentbase": {
      "url": "https://dagentbase.com/api/mcp",
      "headers": { "Authorization": "Bearer dm_live_YOUR_KEY" }
    }
  }
}

# 2. Then ask your agent, in plain language:
#    "Preview 'Hugging Face Hub — Top 10,000 Models by Downloads (Task, Library, Licence, Likes)' and, if it fits, claim it and download the files."
#    Tools it will use: search_listings -> preview_listing -> purchase_listing -> get_download_urls

# 1. Add dAgentBase once, in any MCP client. No install, no vendor keys.
#    Claude.ai / Claude Desktop: Settings -> Connectors -> Add custom connector
#    Cursor / Claude Code / others: mcp.json
{
  "mcpServers": {
    "dagentbase": {
      "url": "https://dagentbase.com/api/mcp",
      "headers": { "Authorization": "Bearer dm_live_YOUR_KEY" }
    }
  }
}

# 2. Then ask your agent, in plain language:
#    "Preview 'Hugging Face Hub — Top 10,000 Models by Downloads (Task, Library, Licence, Likes)' and, if it fits, claim it and download the files."
#    Tools it will use: search_listings -> preview_listing -> purchase_listing -> get_download_urls
Free

one time · open license

Details

Rows10,000
Size418 KB
Files1
FormatCSV.GZ

Available formats

CSV.GZ418 KB
Freeopen