Datasets:

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cfahlgren1

/

hub-stats

like 60

Identifies the top 10 most prominent tags for models and datasets created in each quarter of 2025, providing insights into trending topics and areas of focus.

This query reveals the top 200 authors based on total downloads, their download ratio, and the cumulative download ratio, providing a deep insight into model popularity and author influence.

Identifies and tracks trending AI model releases by week, showing download patterns and key model characteristics that indicate high-impact developments in the field.

Identifies top organizations by the number of models, datasets, and spaces they have contributed, highlighting major players in the AI and tech sectors.

Identifies top 50 authors based on the total number of models, datasets, and spaces they have created, offering insights into the most active contributors to the Hugging Face ecosystem.

Displays the top 10 format tags used in the dataset, showing their counts and percentages, along with a visual bar chart representation.

Provides detailed growth analysis of models and datasets by quarter, showing both absolute and percentage growth, which helps in understanding trends over time.

Identifies models with a 'developer' role in their chat templates, revealing insights into which authors and pipeline tags are associated with such configurations.

Provides a detailed daily breakdown of paper submissions, highlighting the percentage with organizational affiliations and the count of unique organizations, offering insights into academic collaboration trends over the past 30 days.

Provides a monthly count of models created over the last 12 months, revealing trends in model creation activity.

Displays the yearly growth of repositories created by 'allenai' across models, datasets, and spaces, providing a visual representation of their activity over time.

Provides a year-by-year breakdown of the number of datasets and models created by Nvidia in the past 5 years, highlighting trends and annual growth.

Provides a time-series analysis of the number of Nvidia datasets created over the past two years, visualized as a text-based bar chart, offering insights into Nvidia's dataset creation trends.

Shows the cumulative growth of models, datasets, and spaces over time, revealing trends in the growth of different types of content on the Hugging Face Hub.

This query reveals popular base models and their variations (finetune, merge, adapter, quantized) by counts, providing insights into the diversity and usage trends of different model types.

This query reveals the most frequently occurring keys in the cardData JSON objects, providing insights into the data structure and potential common attributes.

Counts the number of models per author and provides a visual distribution bar, revealing which authors have the most models and helping to identify prolific contributors.

Displays the top 10 models by total downloads along with their share of the total downloads, revealing which models are most popular.

Shows the monthly percentage of papers that include a GitHub repository, revealing trends in the presence of associated code over time.

Provides a detailed monthly breakdown of model counts across various task categories, revealing trends and popular tasks over time.

Reveals the frequency and distribution of different task categories, highlighting the most common categories in the dataset.

Provides a breakdown of download counts for different llama model variants, highlighting their popularity and usage.

Reveals the total downloads for models grouped into different size ranges, providing insights into the popularity and usage patterns of models of varying scales.

Reveals the distribution of model sizes versus download counts, offering insights into which sizes are most popular among users.

Lists the top 100 base models and the number of models they are associated with, visually represented as a bar chart.