fixes

docs/docs/integrations/llms/rwkv.mdx

@@ -1,12 +1,12 @@
-# RWKV-4
+# RWKV
 
 >[RWKV](https://www.rwkv.com/) (pronounced RwaKuv) language model is an RNN 
 > with GPT-level LLM performance, 
 > and it can also be directly trained like a GPT transformer (parallelizable).
 >
 >It's combining the best of RNN and transformer - great performance, fast inference, 
 > fast training, saves VRAM, "infinite" ctxlen, and free text embedding. 
-> Moreover it's 100% attention-free, and a LFAI project.
+> Moreover, it's 100% attention-free, and a LFAI project.
 
 
 ## Installation and Setup
@@ -20,7 +20,7 @@ pip install rwkv tokenizer
 - Download a [RWKV model](https://huggingface.co/BlinkDL/rwkv-4-raven/tree/main) and place it in your desired directory
 - Download a [tokens file](https://raw.githubusercontent.com/BlinkDL/ChatRWKV/main/20B_tokenizer.json)
 
-### Rwkv-4 models recommended VRAM
+### Rwkv models recommended VRAM
 
 | Model | 8bit | bf16/fp16 | fp32 |
 |-------|------|-----------|------|