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Subsets and Splits
Top Authors by Downloads
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.
AllenAI Yearly Repo Growth
Displays the yearly growth of repositories created by 'allenai' across models, datasets, and spaces, providing a visual representation of their activity over time.
NVIDIA Yearly Dataset & Model Counts
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.
Nvidia Dataset Releases by Quarter
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.
Cumulative Hub Growth by Month
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.
Top Base Models by Usage
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.
Model Card Key Frequency
This query reveals the most frequently occurring keys in the cardData JSON objects, providing insights into the data structure and potential common attributes.
Model Count by Author
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.
Top 10 Models by Downloads
Displays the top 10 models by total downloads along with their share of the total downloads, revealing which models are most popular.
Monthly Papers with GH Repo Percentage
Shows the monthly percentage of papers that include a GitHub repository, revealing trends in the presence of associated code over time.
Task Category Model Counts
Provides a detailed monthly breakdown of model counts across various task categories, revealing trends and popular tasks over time.
Task Category Frequency Distribution
Reveals the frequency and distribution of different task categories, highlighting the most common categories in the dataset.
LLaMA Model Downloads Summary
Provides a breakdown of download counts for different llama model variants, highlighting their popularity and usage.
Model Size vs Downloads
Reveals the total downloads for models grouped into different size ranges, providing insights into the popularity and usage patterns of models of varying scales.
Model Size vs Downloads
Reveals the distribution of model sizes versus download counts, offering insights into which sizes are most popular among users.
Most Direct Derivative Models by Org
Lists the top 100 base models and the number of models they are associated with, visually represented as a bar chart.
Top Orgs by Base Model Unduplicated
Identifies and counts the most common base model names used in the dataset, visualizing the distribution with a bar chart for better understanding and comparison.
Top Datasets by Popularity
Lists top trending datasets along with their likes-to-downloads ratio, providing a visual representation that highlights popularity and engagement.
Distill Qwen 7B Models Count
Lists models containing "distill", "qwen", and "7b" in their cardData, providing a count and preview which reveals specific model entries worth investigating.
Top Authors by Likes
Reveals the top 200 authors by total likes, identifying the most popular model creators in the dataset.
Tag Normalized Scores
Identifies the most influential and popular tagged items by normalizing and summing counts, likes, and downloads, highlighting hidden insights into data tagging patterns.
Tag Split and Count
Reveals the frequency of different tag combinations, helping to understand the structure and potential relationships between tags.
Tag Counts and Percentages
Calculates both the absolute and relative frequency of each tag, revealing the most common and significant tags within the dataset.
Tag Distribution and Percentage
Reveals the distribution of major tag categories across the datasets, showing both absolute counts and relative percentages, which helps in understanding the prevalence of different types of data categories.
Monthly Model Creation Stats
Provides a monthly count of models created along with a cumulative total, revealing growth trends over time.