A new architectural design for sequence models, Eagle (RWKV-5) and Finch (RWKV-6), has been introduced as successors to RWKV-4. These models feature multi-headed matrix-valued states and dynamic recurrence, scaling up to 7.5b and 3.1b billion multilingual models respectively. The architecture combines RNN and Transformer strengths for diverse tasks.
[CL] Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence https://t.co/YMZFtUJ51d - Introduces two new architectures: Eagle (RWKV-5) and Finch (RWKV-6), improving upon RWKV-4 with multi-headed matrix-valued states, dynamic recurrence, and other mechanisms… https://t.co/Ibpig2C90d
Eagle & Finch, successors to RWKV-4, enhance sequence modeling with scalable, efficient architecture, blending RNN & Transformer strengths for diverse tasks: https://t.co/KVaWV4UuI4 https://t.co/SUx6Q4y0bw
🦅 Eagle & 🐦 Finch The RWKV v5 and v6 architecture paper is here https://t.co/9aCLn0yplJ Both of which, improve over RWKV-4, scaled up to 7.5b and 3.1b billion multilingual models respectively Open-source code, weights, and dataset Apache 2 licensed, under Linux Foundation
Eagle and Finch RWKV with Matrix-Valued States and Dynamic Recurrence We present Eagle (RWKV-5) and Finch (RWKV-6), sequence models improving upon the RWKV (RWKV-4) architecture. Our architectural design advancements include multi-headed matrix-valued states and a https://t.co/yQeafeIPVz
Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence Presents the latest RWKV models, i.e., Eagle (RWKV-5) and Finch (RWKV-6) repo: https://t.co/vK78aSL89l hf: https://t.co/39gmGEu6iX abs: https://t.co/O6zqNxXx0v https://t.co/iXMaXZJP1N
Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence https://t.co/tuZ5KijjvF code: https://t.co/z7qMGvL8S4 Describes RWKV-5 and RWKV-6 which significantly improve over RWKV-4, scaled up to 7.5b and 3.1b billion multilingual models respectively. Completely… https://t.co/MBpbCYXGSr