Update README.md

README.md

@@ -11,6 +11,7 @@ So it's combining the best of RNN and transformer - **great performance, fast in
 **ChatRWKV v2:** with "stream" and "split" strategies. **3G VRAM is enough to run RWKV 14B :)** https://github.com/BlinkDL/ChatRWKV/tree/main/v2
 ```
 os.environ["RWKV_JIT_ON"] = '1'
+os.environ["RWKV_CUDA_ON"] = '0' # if '1' then use CUDA kernel for seq mode (much faster)
 from rwkv.model import RWKV                         # everything in /v2/rwkv folder
 model = RWKV(model='/fsx/BlinkDL/HF-MODEL/rwkv-4-pile-1b5/RWKV-4-Pile-1B5-20220903-8040', strategy='cuda fp16')