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This is full finetuned model from RWKV 4 world 7B CHNTuned model using data from Readflow tech (readflow.com.cn) ,

finetuned for 32k context length, used to summary news article

using inf-ctx training https://github.com/SynthiaDL/TrainChatGalRWKV with fixed VRAM

you can test summary prompt using RWKV runner(https://github.com/josStorer/RWKV-Runner) in chat mode , and check conversation files in examples folders.

https://discord.gg/pWH5MkvtNR

QQ图片20230721210758.jpg


这是和会读Readflow合作的模型( readflow.com.cn),用于超长微信文章的摘要,训练了32k的context长度,能一次性输入整篇文章进行摘要,如下图以及在example文件夹中的例子,

23k tokens一次性输入摘要,不增显存,如果有state状态,可以秒出,可以反复重试多种可能性,

“Assistant:"是模型输出内容

可以使用runner进行测试 https://github.com/josStorer/RWKV-Runner

RWKV world的token对中文以及各类语言效率很高,token和字比例,基本是1:1,甚至1:n,欢迎测试,并加入微调QQ群讨论439087067

微信截图_20230720145202.png

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