Kenny

platypii

https://hyperparam.app

AI & ML interests

None yet

Recent Activity

liked a model 7 days ago

openai/gpt-oss-120b

updated a Space 12 days ago

hyperparam/hyperparam

liked a dataset 5 months ago

angie-chen55/javascript-github-code

View all activity

Organizations

liked a model 7 days ago

openai/gpt-oss-120b

Text Generation • 120B • Updated 4 days ago • 490k • • 3.24k

updated a Space 12 days ago

Hyperparam

⚡

Hyperparam dataset viewer - browse any dataset on the Hub

liked a dataset 5 months ago

angie-chen55/javascript-github-code

Viewer • Updated Jun 15, 2022 • 11.8M • 550 • 15

reacted to jsulz's post with 👍 5 months ago

Post

2058

If you've been following along with the Xet Team's (

xet-team ) work, you know we've been working to migrate the Hugging Face Hub from Git LFS and to Xet.

Recently, we launched a waitlist to join the movement to Xet (join here! https://huggingface.co/join/xet ) but getting to this point was a journey.

From the initial proof of concept in August, to launching on the Hub internally, to migrating a set of repositories and routing a small chunk of download traffic on the Hub through our infrastructure. Every step of the way has been full of challenges, big and small, and well worth the effort.

Over the past few weeks, with real traffic flowing through our services we’ve tackled some truly gnarly issues (unusual upload/download patterns, memory leaks, load imbalances, and more) and resolved each without major disruptions.

If you're curious about how this sliver of Hub infrastructure looks as we routed traffic through it for the first time (and want a deep dive full of Grafana and Kibana charts 🤓) I have a post for you.

Here's an inside look into the day of our first migrations and the weeks following, where we pieced together solutions in real time.

https://huggingface.co/blog/xet-on-the-hub