From Files to Chunks: Improving Hugging Face Storage Efficiency
โข
25
Jared Sulzdorf PRO
jsulz
AI & ML interests
NLP + (Law|Medicine) & Ethics
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reacted to
elliesleightholm's
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with ๐ค
about 1 hour ago
posted
an
update
about 18 hours ago
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jsulz's activity
reacted to
elliesleightholm's
post with ๐ค
about 1 hour ago
Post
168
I made a beginners guide to Hugging Face Spaces ๐ค I hope it's useful to some of you :)
YouTube video: https://www.youtube.com/watch?v=xqdTFyRdtjQ
Blog: https://www.marqo.ai/blog/how-to-create-a-hugging-face-space
YouTube video: https://www.youtube.com/watch?v=xqdTFyRdtjQ
Blog: https://www.marqo.ai/blog/how-to-create-a-hugging-face-space
- 4 replies
posted
an
update
about 18 hours ago
Post
859
When the XetHub crew joined Hugging Face this fall,
@erinys
and I started brainstorming how to share our work to replace Git LFS on the Hub. Uploading and downloading large models and datasets takes precious time. Thatโs where our chunk-based approach comes in.
Instead of versioning files (like Git and Git LFS), we version variable-sized chunks of data. For the Hugging Face community, this means:
โฉ Only upload the chunks that changed.
๐ Download just the updates, not the whole file.
๐ง We store your file as deduplicated chunks
In our benchmarks, we found that using CDC to store iterative model and dataset version led to transfer speedups of ~2x, but this isnโt just a performance boost. Itโs a rethinking of how we manage models and datasets on the Hub.
We're planning on our new storage backend to the Hub in early 2025 - check out our blog to dive deeper, and let us know: how could this improve your workflows?
https://huggingface.co/blog/from-files-to-chunks
Instead of versioning files (like Git and Git LFS), we version variable-sized chunks of data. For the Hugging Face community, this means:
โฉ Only upload the chunks that changed.
๐ Download just the updates, not the whole file.
๐ง We store your file as deduplicated chunks
In our benchmarks, we found that using CDC to store iterative model and dataset version led to transfer speedups of ~2x, but this isnโt just a performance boost. Itโs a rethinking of how we manage models and datasets on the Hub.
We're planning on our new storage backend to the Hub in early 2025 - check out our blog to dive deeper, and let us know: how could this improve your workflows?
https://huggingface.co/blog/from-files-to-chunks
reacted to
reach-vb's
post with ๐ค๐ฅ
2 days ago
Post
3918
What a brilliant week for Open Source AI!
Qwen 2.5 Coder by Alibaba - 0.5B / 1.5B / 3B / 7B / 14B/ 32B (Base + Instruct) Code generation LLMs, with 32B tackling giants like Gemnini 1.5 Pro, Claude Sonnet
Qwen/qwen25-coder-66eaa22e6f99801bf65b0c2f
LLM2CLIP from Microsoft - Leverage LLMs to train ultra-powerful CLIP models! Boosts performance over the previous SOTA by ~17%
microsoft/llm2clip-672323a266173cfa40b32d4c
Athene v2 Chat & Agent by NexusFlow - SoTA general LLM fine-tuned from Qwen 2.5 72B excels at Chat + Function Calling/ JSON/ Agents
Nexusflow/athene-v2-6735b85e505981a794fb02cc
Orca Agent Instruct by Microsoft - 1 million instruct pairs covering text editing, creative writing, coding, reading comprehension, etc - permissively licensed
microsoft/orca-agentinstruct-1M-v1
Ultravox by FixieAI - 70B/ 8B model approaching GPT4o level, pick any LLM, train an adapter with Whisper as Audio Encoder
reach-vb/ultravox-audio-language-model-release-67373b602af0a52b2a88ae71
JanusFlow 1.3 by DeepSeek - Next iteration of their Unified MultiModal LLM Janus with RectifiedFlow
deepseek-ai/JanusFlow-1.3B
Common Corpus by Pleais - 2,003,039,184,047 multilingual, commercially permissive and high quality tokens!
PleIAs/common_corpus
I'm sure I missed a lot, can't wait for the next week!
Put down in comments what I missed! ๐ค
Qwen 2.5 Coder by Alibaba - 0.5B / 1.5B / 3B / 7B / 14B/ 32B (Base + Instruct) Code generation LLMs, with 32B tackling giants like Gemnini 1.5 Pro, Claude Sonnet
Qwen/qwen25-coder-66eaa22e6f99801bf65b0c2f
LLM2CLIP from Microsoft - Leverage LLMs to train ultra-powerful CLIP models! Boosts performance over the previous SOTA by ~17%
microsoft/llm2clip-672323a266173cfa40b32d4c
Athene v2 Chat & Agent by NexusFlow - SoTA general LLM fine-tuned from Qwen 2.5 72B excels at Chat + Function Calling/ JSON/ Agents
Nexusflow/athene-v2-6735b85e505981a794fb02cc
Orca Agent Instruct by Microsoft - 1 million instruct pairs covering text editing, creative writing, coding, reading comprehension, etc - permissively licensed
microsoft/orca-agentinstruct-1M-v1
Ultravox by FixieAI - 70B/ 8B model approaching GPT4o level, pick any LLM, train an adapter with Whisper as Audio Encoder
reach-vb/ultravox-audio-language-model-release-67373b602af0a52b2a88ae71
JanusFlow 1.3 by DeepSeek - Next iteration of their Unified MultiModal LLM Janus with RectifiedFlow
deepseek-ai/JanusFlow-1.3B
Common Corpus by Pleais - 2,003,039,184,047 multilingual, commercially permissive and high quality tokens!
PleIAs/common_corpus
I'm sure I missed a lot, can't wait for the next week!
Put down in comments what I missed! ๐ค
reacted to
m-ric's
post with ๐ฅ
5 days ago
Post
3624
๐ง๐ต๐ฒ ๐ป๐ฒ๐
๐ ๐ฏ๐ถ๐ด ๐๐ผ๐ฐ๐ถ๐ฎ๐น ๐ป๐ฒ๐๐๐ผ๐ฟ๐ธ ๐ถ๐ ๐ป๐ผ๐ ๐ฆ, ๐ถ๐'๐ ๐๐๐ฏ ๐ฃ๐ผ๐๐๐! [INSERT STONKS MEME WITH LASER EYES]
See below: I got 105k impressions since regularly posting Hub Posts, coming close to my 275k on Twitter!
โ๏ธ Computed with the great dataset maxiw/hf-posts
โ๏ธ Thanks to Qwen2.5-Coder-32B for showing me how to access dict attributes in a SQL request!
cc @merve who's far in front of me
See below: I got 105k impressions since regularly posting Hub Posts, coming close to my 275k on Twitter!
โ๏ธ Computed with the great dataset maxiw/hf-posts
โ๏ธ Thanks to Qwen2.5-Coder-32B for showing me how to access dict attributes in a SQL request!
cc @merve who's far in front of me
- 9 replies
reacted to
cfahlgren1's
post with ๐ฅ
6 days ago
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2190
Why use Google Drive when you can have:
โข Free storage with generous limits๐
โข Dataset Viewer (Sorting, Filtering, FTS) ๐
โข Third Party Library Support
โข SQL Console ๐ง
โข Security ๐
โข Community, Reach, and Visibility ๐
It's a no brainer!
Check out our post on what you get instantly out of the box when you create a dataset.
https://huggingface.co/blog/researcher-dataset-sharing
โข Free storage with generous limits๐
โข Dataset Viewer (Sorting, Filtering, FTS) ๐
โข Third Party Library Support
โข SQL Console ๐ง
โข Security ๐
โข Community, Reach, and Visibility ๐
It's a no brainer!
Check out our post on what you get instantly out of the box when you create a dataset.
https://huggingface.co/blog/researcher-dataset-sharing
- 1 reply
reacted to
maxiw's
post with โค๏ธ
8 days ago
Post
4483
I was curious to see what people post here on HF so I created a dataset with all HF Posts:
maxiw/hf-posts
Some interesting stats:
Top 5 Authors by Total Impressions:
-----------------------------------
@merve : 171,783 impressions (68 posts)
@fdaudens : 135,253 impressions (81 posts)
@singhsidhukuldeep : 122,591 impressions (81 posts)
@akhaliq : 119,526 impressions (78 posts)
@MonsterMMORPG : 112,500 impressions (45 posts)
Top 5 Users by Number of Reactions Given:
----------------------------------------
@osanseviero : 1278 reactions
@clem : 910 reactions
@John6666 : 899 reactions
@victor : 674 reactions
@samusenps : 655 reactions
Top 5 Most Used Reactions:
-------------------------
โค๏ธ: 7048 times
๐ฅ: 5921 times
๐: 4856 times
๐: 2549 times
๐ค: 2065 times
Some interesting stats:
Top 5 Authors by Total Impressions:
-----------------------------------
@merve : 171,783 impressions (68 posts)
@fdaudens : 135,253 impressions (81 posts)
@singhsidhukuldeep : 122,591 impressions (81 posts)
@akhaliq : 119,526 impressions (78 posts)
@MonsterMMORPG : 112,500 impressions (45 posts)
Top 5 Users by Number of Reactions Given:
----------------------------------------
@osanseviero : 1278 reactions
@clem : 910 reactions
@John6666 : 899 reactions
@victor : 674 reactions
@samusenps : 655 reactions
Top 5 Most Used Reactions:
-------------------------
โค๏ธ: 7048 times
๐ฅ: 5921 times
๐: 4856 times
๐: 2549 times
๐ค: 2065 times
-
- 9 replies
reacted to
erinys's
post with ๐
about 1 month ago
Post
2123
๐ Super cool visualization of global PUT requests to Hugging Face over 24 hours, coded by object size, thanks to
@port8080
!
We're putting this analysis to work to help us architect a more geo-distributed system for the HF storage backend.
Originally shared on LinkedIn: https://www.linkedin.com/posts/ajitbanerjee_one-of-the-joys-of-working-on-the-xethub-activity-7252688424732614656-tFGD
We're putting this analysis to work to help us architect a more geo-distributed system for the HF storage backend.
Originally shared on LinkedIn: https://www.linkedin.com/posts/ajitbanerjee_one-of-the-joys-of-working-on-the-xethub-activity-7252688424732614656-tFGD
posted
an
update
about 1 month ago
Post
1638
The Hugging Face Hub hosts over 1.5M Model, Dataset, and Space repositories. To scale to 10M+, the XetHub team (https://huggingface.co/xet-team) is replacing Git LFS with a new technology that improves storage and transfer capabilities with some future developer experience benefits to boot.
Thanks to @yuchenglow and @port8080 (for their analysis covering LFS usage from March 2022โSept 2024), we now have insights into what weโre storing. Check out the Gradio app to explore:
- Storage growth over time
- File types over all repositories
- Some simple optimizations we're investigating
xet-team/lfs-analysis
Thanks to @yuchenglow and @port8080 (for their analysis covering LFS usage from March 2022โSept 2024), we now have insights into what weโre storing. Check out the Gradio app to explore:
- Storage growth over time
- File types over all repositories
- Some simple optimizations we're investigating
xet-team/lfs-analysis
reacted to
fdaudens's
post with ๐ฅ
about 1 month ago
Post
1970
This is how AI can be useful in journalism: Just tested DataTalk - a tool that lets you dig through campaign finance data with just your words.
It's transforming complex FEC filings and OpenSecrets datasets into actionable insights for journalists.
Key features for newsrooms:
- Natural language queries on FEC data
- Rapid insights on donors, spending, special interests
- SQL access for deep dives
Tested it out:
- Retrieved how much Harris and Trump raised
- Found top donors instantly (#1 is Timothy Mellonโhave you heard about him?)
- Uncovered big self-funders like David Trone ($62M)
Pros:
- Saves hours of data wrangling
- Surfaces story leads quickly
- Transparent AI retrieving steps makes this tool auditable
Awesome work by Stanford University Open Virtual Assistant Lab, Big Local News, and Columbia University - Graduate School of Journalism. Expert-guided.
Remember: Always verify. Use for leads, not final copy. But this is gold for finding new leads.
How might this change campaign finance reporting? What other datasets need this treatment?
Try it out: https://www.datatalk.genie.stanford.edu/
#AIJournalism #campaignfinance #datajournalism #election2024
It's transforming complex FEC filings and OpenSecrets datasets into actionable insights for journalists.
Key features for newsrooms:
- Natural language queries on FEC data
- Rapid insights on donors, spending, special interests
- SQL access for deep dives
Tested it out:
- Retrieved how much Harris and Trump raised
- Found top donors instantly (#1 is Timothy Mellonโhave you heard about him?)
- Uncovered big self-funders like David Trone ($62M)
Pros:
- Saves hours of data wrangling
- Surfaces story leads quickly
- Transparent AI retrieving steps makes this tool auditable
Awesome work by Stanford University Open Virtual Assistant Lab, Big Local News, and Columbia University - Graduate School of Journalism. Expert-guided.
Remember: Always verify. Use for leads, not final copy. But this is gold for finding new leads.
How might this change campaign finance reporting? What other datasets need this treatment?
Try it out: https://www.datatalk.genie.stanford.edu/
#AIJournalism #campaignfinance #datajournalism #election2024
reacted to
clem's
post with โค๏ธ
about 1 month ago
Post
4148
Open-source AI creates healthy competition in a field where natural tendencies lead to extreme concentration of power. Imagine a world where only one or two companies could build software. This is the biggest risk and ethical challenge of them all IMO. Let's fight this!
- 3 replies
reacted to
Wauplin's
post with ๐ฅ๐ค
about 2 months ago
Post
2718
What a great milestone to celebrate! The huggingface_hub library is slowly becoming a cornerstone of the Python ML ecosystem when it comes to interacting with the
@huggingface
Hub. It wouldn't be there without the hundreds of community contributions and feedback! No matter if you are loading a model, sharing a dataset, running remote inference or starting jobs on our infra, you are for sure using it! And this is only the beginning so give a star if you wanna follow the project ๐ https://github.com/huggingface/huggingface_hub
-
- 1 reply
reacted to
erinys's
post with โค๏ธ
about 2 months ago
Post
1937
We shut down XetHub today after almost 2 years. What we learned from launching our Git-scaled product from scratch:
- Don't make me change my workflow
- Data inertia is real
- ML best practices are still evolving
Closing the door on our public product lets us focus on our new goal of scaling HF Hub's storage backend to improve devX for a larger community. We'd love to hear your thoughts on what experiences we can improve!
Read the full post: https://xethub.com/blog/shutting-down-xethub-learnings-and-takeaways
- Don't make me change my workflow
- Data inertia is real
- ML best practices are still evolving
Closing the door on our public product lets us focus on our new goal of scaling HF Hub's storage backend to improve devX for a larger community. We'd love to hear your thoughts on what experiences we can improve!
Read the full post: https://xethub.com/blog/shutting-down-xethub-learnings-and-takeaways
-
- 6 replies
reacted to
fdaudens's
post with ๐ค๐
about 2 months ago
Post
3337
๐ 1,000,000 public models milestone achieved on Hugging Face! ๐คฏ
This chart by @cfahlgren1 shows the explosive growth of open-source AI. It's not just about numbers - it's a thriving community combining cutting-edge ML with real-world applications. cfahlgren1/hub-stats
Can't wait to see what's next!
This chart by @cfahlgren1 shows the explosive growth of open-source AI. It's not just about numbers - it's a thriving community combining cutting-edge ML with real-world applications. cfahlgren1/hub-stats
Can't wait to see what's next!
-
- 2 replies
reacted to
erinys's
post with ๐ฅ
about 2 months ago
Post
1370
We did a thing! Eight weeks into our Hugging Face tenure, we can demo a round-trip of Xet-backed files from our local machine to a prod Hugging Face S3 bucket and back. ๐
Itโs been exciting to dive into how the Hub is built and design our steel thread through the infrastructure. Now that the thread is up, we can kick off project Capacious Extremis ๐ช to add all the other goodies: authentication, authorization, deduplication, privacy, and more.
What does this mean for you? Youโre one step closer to โก faster downloads, uploads, and iterative development on Hugging Face Hub!โจThis is our first step toward replacing Git LFS as the Hub's storage backend: https://huggingface.co/blog/xethub-joins-hf
Check out the demo on LinkedIn to see the transfer in action: https://www.linkedin.com/posts/annux_youve-heard-of-blue-steel-but-have-activity-7245062126535405568-3cvJ
Itโs been exciting to dive into how the Hub is built and design our steel thread through the infrastructure. Now that the thread is up, we can kick off project Capacious Extremis ๐ช to add all the other goodies: authentication, authorization, deduplication, privacy, and more.
What does this mean for you? Youโre one step closer to โก faster downloads, uploads, and iterative development on Hugging Face Hub!โจThis is our first step toward replacing Git LFS as the Hub's storage backend: https://huggingface.co/blog/xethub-joins-hf
Check out the demo on LinkedIn to see the transfer in action: https://www.linkedin.com/posts/annux_youve-heard-of-blue-steel-but-have-activity-7245062126535405568-3cvJ
reacted to
asoria's
post with ๐
about 2 months ago
Post
2357
๐ I wrote a tutorial on how to get started with the fine-tuning process using Hugging Face tools, providing an end-to-end workflow.
The tutorial covers creating a new dataset using the new SQL Console ๐ข and fine-tuning a model with SFT, guided by the Notebook Creator App ๐.
๐ You can read the full article here:
https://huggingface.co/blog/asoria/easy-fine-tuning-with-hf
asoria/auto-notebook-creator
The tutorial covers creating a new dataset using the new SQL Console ๐ข and fine-tuning a model with SFT, guided by the Notebook Creator App ๐.
๐ You can read the full article here:
https://huggingface.co/blog/asoria/easy-fine-tuning-with-hf
asoria/auto-notebook-creator
posted
an
update
about 2 months ago
Post
1910
In August, the XetHub team joined Hugging Face
- https://huggingface.co/blog/xethub-joins-hf - and weโve been rolling up our sleeves to bring the best of both worlds together. We started with a deep dive into the current state of files stored with Git LFS on the Hub.
Getting this information was no small feat. We had to:
* Analyze a complete database dump of all repositories and files stored in Git LFS across Hugging Face.
* Parse through metadata on file sizes and types to accurately map the storage breakdown across Spaces, Models, and Datasets.
You can read more about the findings (with some jaw-dropping stats + charts) here https://www.linkedin.com/feed/update/urn:li:activity:7244486280351285248
- https://huggingface.co/blog/xethub-joins-hf - and weโve been rolling up our sleeves to bring the best of both worlds together. We started with a deep dive into the current state of files stored with Git LFS on the Hub.
Getting this information was no small feat. We had to:
* Analyze a complete database dump of all repositories and files stored in Git LFS across Hugging Face.
* Parse through metadata on file sizes and types to accurately map the storage breakdown across Spaces, Models, and Datasets.
You can read more about the findings (with some jaw-dropping stats + charts) here https://www.linkedin.com/feed/update/urn:li:activity:7244486280351285248
reacted to
davanstrien's
post with โค๏ธ
2 months ago
Post
1503
The Hugging Face Semantic Dataset Search Space is back in action! You can find similar datasets by ID or perform a semantic search of dataset cards.
Give it a try: librarian-bots/huggingface-datasets-semantic-search
Give it a try: librarian-bots/huggingface-datasets-semantic-search
- 1 reply