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---
language:
- en
- zh
- fr
- es
- de
- pt
- ru
- it
- ja
- ko
- vi
- ar
tags:
- pytorch
- text-generation
- causal-lm
- rwkv
license: apache-2.0
datasets:
- cerebras/SlimPajama-627B
- EleutherAI/pile
- bigcode/starcoderdata
- oscar-corpus/OSCAR-2301
---
# RWKV-5 World (Training in Progress)
## I am now uploading latest training-in-progress checkpts to https://huggingface.co/BlinkDL/temp/tree/main (to avoid bloating git history)
## I am now uploading latest training-in-progress checkpts to https://huggingface.co/BlinkDL/temp/tree/main (to avoid bloating git history)
Use rwkv pip package 0.8.14+ for RWKV-5 inference: https://pypi.org/project/rwkv/
Online Demo: https://huggingface.co/spaces/BlinkDL/ChatRWKV-gradio
GUI: https://github.com/josStorer/RWKV-Runner (see Releases)
How it works: https://twitter.com/BlinkDL_AI/status/1685230712247795713
https://www.rwkv.com/
## Model Description
RWKV-5 trained on 100+ world languages (70% English, 15% multilang, 15% code).
World = Some_Pile + Some_SlimPajama + Some_StarCoder + Some_OSCAR + All_Wikipedia + All_ChatGPT_Data_I_can_find
RWKV-5 training: set --my_testing "r2r4" in latest RWKV-LM v4neo: https://github.com/BlinkDL/RWKV-LM
World v1 = 0.59T tokens
World v2 = 1.12T tokens
Imagine what happens when we use more data :) |