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Shows daily download history, likes and derivative families for models on the Hugging Face Hub since July 2024, with a model comparison chart and weekly rankings. It suits model builders and researchers.
Model Pulse is a kit in the Research category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.
pip install -U huggingface_hub hf download tardellirs/model-pulse --repo-type space --local-dir model-pulse cd model-pulse
Model Pulse tracks how models on the Hugging Face Hub are downloaded and liked. It keeps daily history going back to July 2024. It also separates direct use from use through models derived from it.
Model builders, researchers and analysts who want to see which models are growing and which families dominate. It is an independent project and has no tie to Hugging Face.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| AI research | Researchers | Track how a model's downloads and likes change over time | Look up a model and read its daily history |
| Model publishing | Model authors | See how much of their reach comes from quantizations and fine-tunes | Check a base model's derivative family |
| Analysis | Analysts and writers | Put as many as five models side by side on a single chart | Chart several competing models together |
| Community | Hub users | Read the weekly rankings for new breakouts | See which models grew fastest this week |
If you need download numbers for something other than Hub models, you can skip it.
| Use case | Who | What they get back |
|---|---|---|
| Look up one model | Researchers | Daily downloads, likes and derivative families |
| Compare models | Analysts | Up to five models drawn on one chart |
| Watch the weekly rankings | Community members | Lists of the most downloaded, fastest growing and new breakouts |
| Add a badge to a README | Model authors | Monthly downloads with a sparkline, updated daily |
To use it online you need nothing. To keep a copy of the page you need Python and pip for the download.
pip install -U huggingface_hub hf download tardellirs/model-pulse --repo-type space --local-dir model-pulse cd model-pulse
Open the page and browse the rankings, or ask for one model by adding a model parameter to the page address in the form below. A second parameter picks a special view, either galaxy or wrapped.
?model=org/name ?view=galaxy ?view=wrapped
| Tool | What it does |
|---|---|
| Model lookup | Shows one model's daily download history, likes and derivative families |
| Compare | Draws up to five models on one chart |
| Derivative share | Shows how much reach comes from quantizations, fine-tunes, adapters and merges |
| Galaxy | Draws every model built on a base model as a galaxy |
| Wrapped | Summarizes one author's past year on the Hub as six cards |
| Weekly rankings | Ranks models by downloads, speed of growth, new breakouts and family size, and ranks organizations |
You look up Qwen/Qwen3-8B. You see its daily downloads and likes since July 2024, and how much of its reach comes from quantizations, fine-tunes, adapters and merges of it.
If you are new to this, open the Space and read the weekly rankings first. Then look up one model you already use and see how its downloads have moved.
If you know the field, the numbers come from daily snapshots of cfahlgren1/hub-stats, compiled into the dataset modelpulse/model-pulse-data. Splitting a model's reach by quantizations, fine-tunes, adapters and merges separates direct use from use through derivatives. Download counts are the Hub's own, so they carry whatever limits those counts have.
Shows daily download history, likes and derivative families for models on the Hugging Face Hub since July 2024, with a model comparison chart and weekly rankings. It suits model builders and researchers.
Made by tardellirs on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.
What it is: Model Pulse tracks how models on the Hugging Face Hub are downloaded and liked. It keeps daily history going back to July 2024. It also separates direct use from use through models derived from it.
Who it suits: Model builders, researchers and analysts who want to see which models are growing and which families dominate. It is an independent project and has no tie to Hugging Face.
Title: Who watches model trends
Industry | Who uses it | How they use it | Example
AI research | Researchers | Track how a model's downloads and likes change over time | Look up a model and read its daily history
Model publishing | Model authors | See how much of their reach comes from quantizations and fine-tunes | Check a base model's derivative family
Analysis | Analysts and writers | Put as many as five models side by side on a single chart | Chart several competing models together
Community | Hub users | Read the weekly rankings for new breakouts | See which models grew fastest this week
If you need download numbers for something other than Hub models, you can skip it.
Where to use it:
Use case | Who | What they get back
Look up one model | Researchers | Daily downloads, likes and derivative families
Compare models | Analysts | Up to five models drawn on one chart
Watch the weekly rankings | Community members | Lists of the most downloaded, fastest growing and new breakouts
Add a badge to a README | Model authors | Monthly downloads with a sparkline, updated daily
How to set it up: To use it online you need nothing. To keep a copy of the page you need Python and pip for the download.
pip install -U huggingface_hub
hf download tardellirs/model-pulse --repo-type space --local-dir model-pulse
cd model-pulse
How to use it: Open the page and browse the rankings, or ask for one model by adding a model parameter to the page address in the form below. A second parameter picks a special view, either galaxy or wrapped.
?model=org/name
?view=galaxy
?view=wrapped
Tool | What it does
Model lookup | Shows one model's daily download history, likes and derivative families
Compare | Draws up to five models on one chart
Derivative share | Shows how much reach comes from quantizations, fine-tunes, adapters and merges
Galaxy | Draws every model built on a base model as a galaxy
Wrapped | Summarizes one author's past year on the Hub as six cards
Weekly rankings | Ranks models by downloads, speed of growth, new breakouts and family size, and ranks organizations
Example: You look up Qwen/Qwen3-8B. You see its daily downloads and likes since July 2024, and how much of its reach comes from quantizations, fine-tunes, adapters and merges of it.
For newcomers and experts: If you are new to this, open the Space and read the weekly rankings first. Then look up one model you already use and see how its downloads have moved.
If you know the field, the numbers come from daily snapshots of cfahlgren1/hub-stats, compiled into the dataset modelpulse/model-pulse-data. Splitting a model's reach by quantizations, fine-tunes, adapters and merges separates direct use from use through derivatives. Download counts are the Hub's own, so they carry whatever limits those counts have.
Daily snapshots of Hub stats
Compiled into one dataset
The page reads that dataset
You see history, rankings and families
Good to know:
Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.
README.md 5 KB
Listed Hugging Face Spaces in the same category that share the most tags with this one.
| Product | Likes | Built with | License | Last change |
|---|---|---|---|---|
| Model Pulse This page | 214 | static | apache-2.0 | |
| Model Pulse by emanforhelpShares analytics · data-visualization · downloads | 7 | static | apache-2.0 | |
| Paper PulseShares statistics · leaderboard · static | 27 | static | apache-2.0 | |
| Arena LeaderboardShares leaderboard · static | 5,039 | static | apache-2.0 | |
| MTEB-BR LeaderboardShares leaderboard · static | 126 | static | apache-2.0 | |
| Icelandic LLM LeaderboardShares leaderboard · static | 20 | static | cc-by-4.0 |
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