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.
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
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