See that purple banner on the Llama 4 models? It's Xet storage, and this is actually huge for anyone building with AI models. Let's geek out a little bit 🤓 
text
See that purple banner on the Llama 4 models? It's Xet storage, and this is actually huge for anyone building with AI models. Let's geek out a little bit 🤓 
new_line
new_line
Current problem: AI models are massive files using Git LFS. But with models getting bigger and downloads exploding, we needed something better.
text
Current problem: AI models are massive files using Git LFS. But with models getting bigger and downloads exploding, we needed something better.
new_line
Xet lets you version large files like code, with compression and deduplication, all Git-compatible. That means less bandwidth, faster sharing, and smoother collaboration.
text
Xet lets you version large files like code, with compression and deduplication, all Git-compatible. That means less bandwidth, faster sharing, and smoother collaboration.
new_line
new_line
Real numbers: ~25% deduplication on Llama 4 models, hitting ~40% for finetunes. 
text
Real numbers: ~25% deduplication on Llama 4 models, hitting ~40% for finetunes. 
new_line
new_line
Scale matters here - the Hub served 2B model downloads in 30 days, Llama models alone at 60M. The upcoming Llama 4 Behemoth has 2T parameters! Xet's chunk-based system was built exactly for this.
text
Scale matters here - the Hub served 2B model downloads in 30 days, Llama models alone at 60M. The upcoming Llama 4 Behemoth has 2T parameters! Xet's chunk-based system was built exactly for this.
new_line
new_line
This is the kind of engineering that makes the next wave of large models actually usable. Kudos to the team! 🧨
text
This is the kind of engineering that makes the next wave of large models actually usable. Kudos to the team! 🧨
new_line
new_line
Check out the models collection: 
text
Check out the models collection: 
https://huggingface.co/collections/meta-llama/llama-4-67f0c30d9fe03840bc9d0164
meta-llama/llama-4-67f0c30d9fe03840bc9d0164
collection
resource
https://huggingface.co/collections/meta-llama/llama-4-67f0c30d9fe03840bc9d0164
See that purple banner on the Llama 4 models? It's Xet storage, and this is actually huge for anyone building with AI models. Let's geek out a little bit 🤓 

Current problem: AI models are massive files using Git LFS. But with models getting bigger and downloads exploding, we needed something better.
Xet lets you version large files like code, with compression and deduplication, all Git-compatible. That means less bandwidth, faster sharing, and smoother collaboration.

Real numbers: ~25% deduplication on Llama 4 models, hitting ~40% for finetunes. 

Scale matters here - the Hub served 2B model downloads in 30 days, Llama models alone at 60M. The upcoming Llama 4 Behemoth has 2T parameters! Xet's chunk-based system was built exactly for this.

This is the kind of engineering that makes the next wave of large models actually usable. Kudos to the team! 🧨

Check out the models collection: https://huggingface.co/collections/meta-llama/llama-4-67f0c30d9fe03840bc9d0164
👍
Doctor-Chad-PhD John6666 Fishtiks autmoate dantezxcd
🚀
Chroma111 calmodovar