RWKV (pronounced RwaKuv) is an RNN with great LLM performance and parallelizable like a Transformer. Check RWKV-7 "Goose" reasoning models.
It's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctxlen, and free text embedding. And it's 100% attention-free, and a Linux Foundation AI project.
RWKV-Projects
RWKV-LM
Training RWKV (and latest developments)
RWKV App
RWKV App for Android / iOS / PC / Mac / Linux
Albatross
Very efficient inference (7B fp16 bsz960 = 10250+ tps on 5090)
RWKV-Runner
RWKV GUI with API (desktop)
RWKV pip package
RWKV pip reference (slower) package
RWKV-PEFT
Finetuning RWKV (9GB VRAM can finetune 7B)
RWKV-server
WebGPU inference (NVIDIA/AMD/Intel), nf4/int8/fp16
More... (600+ RWKV projects)
Use RWKV
RWKV-7 weights
All latest RWKV weights
RWKV-7 GGUF weights
GGUF RWKV weights
RWKV-7 Ollama weights
Ollama GGUF RWKV weights
RWKV-related papers
RWKV wiki
with history of RWKV from v1 to v7 (note: AI-written)
RWKV-Papers
RWKV-8 explained
RWKV-7 explained
RWKV-7 illustrated
RWKV-6 illustrated
