G1-MINI has now seen around 8B tokens during its current run, and pretraining is still going strong.
Our E1 (Efficiency-1) prototype has also reached 15B pretraining tokens. E1 has 1B total parameters while activating under 100M parameters per token. It features adaptive activation, meaning easier tokens can use less compute while harder tokens receive more.
We plan to open-source E1 ASAP! π
Weβre also excited to announce Project Prism, which will provide limited access to our upcoming Orion Flagship model, powered by our T2 architecture.
Note: T2 here refers to the architecture, not our T2 (Thinker-2) model.
Applications for Project Prism are available through the org page, with more details coming soon!
Finally, welcome @soyL061215, who joined the Hugging Face org today! π
just recieved my stack of 10 floppy disks - you know what that means
floppyx4 is canceled, floppyx10 is next
here's the intended specs: - official tokenizer (the actual tokenizer for gpt-2) - actual gpu training (barely) - sharegpt (if i can afford it computationally) - full thing fitting on 10 floppy disks (not just the safetensors file) - and if needed different arch (like llama)