search

BlinkDL / RWKV-LM

RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
Apache License 2.0
12.32k stars 838 forks source link

RWKV only show lower GPU memory occupancy when inference? #250

Open thucz opened 1 month ago

thucz commented 1 month ago

I tried to use RWKV(e.g., Vision-RWKV) in CV tasks. But I found RWKV shows similar GPU memory occupancy to full-attention Transformer (like ViT) when training. I found both RWKV and Vision-RWKV only present their inference memory occupancy in the paper.

The high memory consume is not friendly for my tasks. Do you have any advice?

BlinkDL commented 1 month ago

Hi may I know your ctxlen

thucz commented 1 month ago

ctx_len is 8192