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Banerjee

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reacted to jsulz's post with 🔥 2 days ago
The Llama 4 release - https://huggingface.co/collections/meta-llama/llama-4-67f0c30d9fe03840bc9d0164 - was a big one for the https://huggingface.co/xet-team with every model backed by the storage infrastructure of the future for the Hub. It's been a wild few days, and especially 🤯 to see every tensor file with a Xet logo next to it instead of LFS. The attached graph shows requests per second to our content-addressed store (CAS) right as the release went live. yellow = GETs; dashed line = launch time. You can definitely tell when the community started downloading 👀 h/t to @rajatarya for the graph, the entire Xet crew to bring us to this point, and special shoutout to Rajat, @port8080, @brianronan , @seanses , and @znation who made sure the bytes kept flying all weekend ⚡️
reacted to jsulz's post with 🔥 5 days ago
Huge week for https://huggingface.co/xet-team as Llama 4 is the first major model on Hugging Face uploaded with Xet providing the backing! Every byte downloaded comes through our infrastructure. Using Xet on Hugging Face is the fastest way to download and iterate on open source models and we've proved it with Llama 4 giving a boost of ~25% across all models. We expect builders on the Hub to see even more improvements, helping power innovation across the community. With the models on our infrastructure, we can peer in and see how well our dedupe performs across the Llama 4 family. On average, we're seeing ~25% dedupe, providing huge savings to the community who iterate on these state-of-the-art models. The attached image shows a few selected models and how they perform on Xet. Thanks to the https://huggingface.co/meta-llama team for launching on Xet!
upvoted an article 5 days ago
Welcome Llama 4 Maverick & Scout on Hugging Face!
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