---
language:
- en
- zh
- de
- fr
- es
- pt
- ru
- it
- ja
- ko
- vi
- ar
tags:
- pytorch
- text-generation
- causal-lm
- rwkv
license: apache-2.0
datasets:
- EleutherAI/pile
- togethercomputer/RedPajama-Data-1T
---

# RWKV-4 World

## Model Description

RWKV-4 trained on 100+ world languages (70% English, 15% multilang, 15% code).

How to use:
* use latest rwkv pip package (0.7.4+)
* use https://github.com/BlinkDL/ChatRWKV/blob/main/v2/benchmark_world.py to test it
* larger models are stronger even though not fully trained yet

The differences between World & Raven:
* set pipeline = PIPELINE(model, "rwkv_vocab_v20230424") instead of 20B_tokenizer.json (EXACTLY AS WRITTEN HERE. "rwkv_vocab_v20230424" is included in rwkv 0.7.4+)
* use Question/Answer or User/AI or Human/Bot for chat. **DO NOT USE Bob/Alice or Q/A**
* use **fp32** (will overflow in fp16 at this moment - fixable in future) or bf16 (slight degradation)

NOTE: the new greedy tokenizer (https://github.com/BlinkDL/ChatRWKV/blob/main/tokenizer/rwkv_tokenizer.py) will tokenize '\n\n' as one single token instead of ['\n','\n']

QA prompt (replace \n\n in xxx to \n):
```
Instruction: xxx
Input: xxx
Response:
```

A good chat prompt (replace \n\n in xxx to \n):
```
Question: hi

Answer: Hi. I am your assistant and I will provide expert full response in full details. Please feel free to ask any question and I will always answer it.

Question: xxx

Answer:
```