DRIVE: Data Curation Best Practices for Reinforcement Learning with Verifiable Reward in Competitive Code Generation Paper • 2511.06307 • Published Nov 9, 2025 • 52
RWKV-X Collection RWKV-X is a family of long-context models based on RWKV-7, enhanced with Sparse Attention and capable of handling context windows up to 64K tokens. • 1 item • Updated Apr 9, 2025
RWKV-7 "Goose" with Expressive Dynamic State Evolution Paper • 2503.14456 • Published Mar 18, 2025 • 153 • 12
Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence Paper • 2404.05892 • Published Apr 8, 2024 • 40
RWKV-7 "Goose" with Expressive Dynamic State Evolution Paper • 2503.14456 • Published Mar 18, 2025 • 153
RWKV-7 "Goose" with Expressive Dynamic State Evolution Paper • 2503.14456 • Published Mar 18, 2025 • 153
Running on T4 498 RWKV-Gradio-1 💻 498 Generate text responses based on prompts with customizable settings
Running on T4 Featured 646 RWKV-Gradio-2 🚀 646 Generate text responses to prompts with customizable settings