---
license: cc-by-4.0
pretty_name: Datamata AI Model Popularity Index
language:
  - en
tags:
  - ai
  - machine-learning
  - hugging-face
  - model-popularity
  - llm
  - model-trends
size_categories:
  - n<1K
source_datasets:
  - original
configs:
  - config_name: default
    data_files: ai-model-popularity.csv
---

![Datamata AI Model Popularity Index](dataset-cover-image.png)

# 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:** 2026-07-05
- **Models in this release:** 50
- **Updated:** weekly
- **Licence:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) — free to use and adapt, including commercially, with attribution.
- **Source & methodology:** <https://www.datamatastudios.com/datasets>

## Quickstart

```python
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:

```python
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." 2026-07-05. https://www.datamatastudios.com/datasets. Licensed under CC BY 4.0.