Tools
Training code and models are live on Hugging Face. Dan Fu (Together AI's VP of Kernels) led the work. Together AI provided compute. Blog: ht…
Training code and models are live on Hugging Face. Dan Fu (Together AI's VP of Kernels) led the work. Together AI provided compute. Blog: https://www.together.ai/blog/parcae Paper: https://arxiv.org/a
Training code and models are live on Hugging Face. Dan Fu (Together AI's VP of Kernels) led the work. Together AI provided compute. Blog: https://www.together.ai/blog/parcae Paper: https://arxiv.org/abs/2604.12946 Models: https://huggingface.co/collections/SandyResearch/parcae
Related
- What if you could get 1.3B Transformer quality from a 770M model? That's not a compression result. It's a different architecture. Parcae, fr…
- The edge inference implication: memory, not compute, is the binding constraint. Parcae opens a new axis. Scale quality by looping deeper, no…
- Parcae: Doing more with fewer parameters using stable looped models
Source: Together AI (X) | 2026-04-15