Hugging Face AI Model Directory — 12K Models with Metadata
About this data
Comprehensive directory of 12,000 AI/ML models from the Hugging Face Hub, ranked by popularity. Each record includes the model identifier, author, model name, pipeline task (text-generation, image-classification, sentence-similarity, etc.), ML library (transformers, diffusers, sentence-transformers, etc.), total download count, monthly downloads, community likes, framework tags, creation date, privacy status, and gating information. Covers the top 12,000 most-downloaded models across 30+ task categories and 20+ ML frameworks. Useful for AI/ML ecosystem analysis, model popularity trends, framework adoption research, and building model recommendation systems. Sources: Hugging Face Hub public API (huggingface.co/api/models). Columns: model_id, author, model_name, pipeline_task, library, downloads_total, downloads_monthly, likes, tags, created_at, last_modified, is_private, gated
Schema
| Name | Type | Description |
|---|---|---|
| model_id | string | |
| author | string | |
| model_name | string | |
| pipeline_task | string | |
| library | string | |
| downloads_total | string | |
| downloads_monthly | string | |
| likes | string | |
| tags | string | |
| created_at | string | |
| last_modified | string | |
| is_private | string | |
| gated | string |
Sample Data
Preview a sample of the data before downloading.
For AI Agents
# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
"mcpServers": {
"databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
}
}
# 2. Your agent can then call:
search_datasets({ query: "Hugging Face AI Model Director" })
// Found: 756c67ea-99ee-42c9-91fc-a7932c70eecb
get_download_url({ dataset_id: "756c67ea-99ee-42c9-91fc-a7932c70eecb" }) // free — no API key needed# Free dataset — no API key required: curl https://api.databazaar.io/datasets/756c67ea-99ee-42c9-91fc-a7932c70eecb/download-url