Model Pulse
📈
6
Hugging Face model download stats, history & trends
Tardelli Stekel
tardellirs
·
AI & ML interests
None yet
Recent Activity
updated a Space 37 minutes ago
tardellirs/model-pulse reacted to theirpost with 🔥 about 4 hours ago
I built Model Pulse: daily download history for every model on the Hub 📈
A model page tells you its downloads for the last 30 days, but not how it got there. Model Pulse rebuilds the day-by-day history for 1.6M models, back to July 2024, from the daily snapshots in @cfahlgren1's hub-stats dataset.
A few things the data shows:
- The Hub now serves ~100M model downloads a day, up from ~62M a year ago
- Vision-language models grew about 7x in that year, to 10.7M downloads a day
- 37% of Qwen3-8B's monthly downloads go to its 6,283 quantizations, fine-tunes and merges, not to the original
What you can do with it:
- Open any model, e.g. https://huggingface.co/spaces/tardellirs/model-pulse?model=Qwen/Qwen3-8B
- Compare up to five models on one chart
- Browse weekly rankings: fastest growing, new this month, biggest families, top organizations
- Add a live badge to your model card (monthly downloads, sparkline and weekly trend)
The data is open too: https://huggingface.co/datasets/modelpulse/model-pulse-data
I'd love feedback, especially from model authors: what would you want to see about your own models? updated a collection about 5 hours ago
Hugging Face Hub analyticsOrganizations
updated a
Space 37 minutes ago
reacted to their post with 🔥 about 4 hours ago
Post
707
I built Model Pulse: daily download history for every model on the Hub 📈
A model page tells you its downloads for the last 30 days, but not how it got there. Model Pulse rebuilds the day-by-day history for 1.6M models, back to July 2024, from the daily snapshots in @cfahlgren1 's hub-stats dataset.
A few things the data shows:
- The Hub now serves ~100M model downloads a day, up from ~62M a year ago
- Vision-language models grew about 7x in that year, to 10.7M downloads a day
- 37% of Qwen3-8B's monthly downloads go to its 6,283 quantizations, fine-tunes and merges, not to the original
What you can do with it:
- Open any model, e.g. tardellirs/model-pulse
- Compare up to five models on one chart
- Browse weekly rankings: fastest growing, new this month, biggest families, top organizations
- Add a live badge to your model card (monthly downloads, sparkline and weekly trend)
The data is open too: modelpulse/model-pulse-data
I'd love feedback, especially from model authors: what would you want to see about your own models?
A model page tells you its downloads for the last 30 days, but not how it got there. Model Pulse rebuilds the day-by-day history for 1.6M models, back to July 2024, from the daily snapshots in @cfahlgren1 's hub-stats dataset.
A few things the data shows:
- The Hub now serves ~100M model downloads a day, up from ~62M a year ago
- Vision-language models grew about 7x in that year, to 10.7M downloads a day
- 37% of Qwen3-8B's monthly downloads go to its 6,283 quantizations, fine-tunes and merges, not to the original
What you can do with it:
- Open any model, e.g. tardellirs/model-pulse
- Compare up to five models on one chart
- Browse weekly rankings: fastest growing, new this month, biggest families, top organizations
- Add a live badge to your model card (monthly downloads, sparkline and weekly trend)
The data is open too: modelpulse/model-pulse-data
I'd love feedback, especially from model authors: what would you want to see about your own models?
- 2 replies
updated a
collection about 5 hours ago
replied to their post about 8 hours ago
Thanks a lot, you're right, and your numbers check out exactly: 17 gaps, 92 missing days, 6.48B downloads (14.6%) missing from row sums. I went with your first option. hub_series.parquet now has one row per calendar day, with each gap's per-day average written to every day it covers, so sums are exact and the charts get a continuous series. The file in modelpulse/model-pulse-data is already updated (583 consecutive days, total 44.4B), and the daily job writes gaps the same way from now on. The report's headline numbers came from month-end cumulative totals, so they're unchanged. Really appreciate you checking it against series/, that's exactly why the data is open.
liked a
Space about 10 hours ago
posted an update about 10 hours ago
Post
707
I built Model Pulse: daily download history for every model on the Hub 📈
A model page tells you its downloads for the last 30 days, but not how it got there. Model Pulse rebuilds the day-by-day history for 1.6M models, back to July 2024, from the daily snapshots in @cfahlgren1 's hub-stats dataset.
A few things the data shows:
- The Hub now serves ~100M model downloads a day, up from ~62M a year ago
- Vision-language models grew about 7x in that year, to 10.7M downloads a day
- 37% of Qwen3-8B's monthly downloads go to its 6,283 quantizations, fine-tunes and merges, not to the original
What you can do with it:
- Open any model, e.g. tardellirs/model-pulse
- Compare up to five models on one chart
- Browse weekly rankings: fastest growing, new this month, biggest families, top organizations
- Add a live badge to your model card (monthly downloads, sparkline and weekly trend)
The data is open too: modelpulse/model-pulse-data
I'd love feedback, especially from model authors: what would you want to see about your own models?
A model page tells you its downloads for the last 30 days, but not how it got there. Model Pulse rebuilds the day-by-day history for 1.6M models, back to July 2024, from the daily snapshots in @cfahlgren1 's hub-stats dataset.
A few things the data shows:
- The Hub now serves ~100M model downloads a day, up from ~62M a year ago
- Vision-language models grew about 7x in that year, to 10.7M downloads a day
- 37% of Qwen3-8B's monthly downloads go to its 6,283 quantizations, fine-tunes and merges, not to the original
What you can do with it:
- Open any model, e.g. tardellirs/model-pulse
- Compare up to five models on one chart
- Browse weekly rankings: fastest growing, new this month, biggest families, top organizations
- Add a live badge to your model card (monthly downloads, sparkline and weekly trend)
The data is open too: modelpulse/model-pulse-data
I'd love feedback, especially from model authors: what would you want to see about your own models?
- 2 replies
updated a
Space about 12 hours ago
published a
Space about 12 hours ago
updated a
dataset about 13 hours ago
liked a
dataset about 13 hours ago
published a
Space about 13 hours ago
published a
dataset about 13 hours ago
updated a
Space 19 days ago
liked a
Space 20 days ago
updated a
dataset about 1 month ago
liked 2
datasets about 1 month ago
published a
dataset about 2 months ago
liked a
model about 2 months ago