ChatRWKV is like ChatGPT but powered by my RWKV (100% RNN) language model, which is the only RNN (as of now) that can match transformers in quality and scaling, while being faster and saves VRAM. Training sponsored by Stability EleutherAI :) 中文使用教程，请往下看，在本页面底部。
RWKV pip package: https://pypi.org/project/rwkv/ (pls always check for latest version and upgrade)
Download RWKV-4 weights: https://huggingface.co/BlinkDL (Use RWKV-4 models. DO NOT use RWKV-4a and RWKV-4b models.)
RWKV LM: https://github.com/BlinkDL/RWKV-LM (explanation, fine-tuning, training, etc.)
RWKV Discord: https://discord.gg/bDSBUMeFpc (let's build together)
Twitter: https://twitter.com/BlinkDL_AI
RWKV in 150 lines (model, inference, text generation): https://github.com/BlinkDL/ChatRWKV/blob/main/RWKV_in_150_lines.py
Hugging Face space: https://huggingface.co/spaces/BlinkDL/ChatRWKV-gradio
ChatRWKV v2: with "stream" and "split" strategies, and INT8. 3G VRAM is enough to run RWKV 14B :) https://github.com/BlinkDL/ChatRWKV/tree/main/v2
os.environ["RWKV_JIT_ON"] = '1'
os.environ["RWKV_CUDA_ON"] = '0' # if '1' then use CUDA kernel for seq mode (much faster)
from rwkv.model import RWKV # pip install rwkv
model = RWKV(model='/fsx/BlinkDL/HF-MODEL/rwkv-4-pile-1b5/RWKV-4-Pile-1B5-20220903-8040', strategy='cuda fp16')
out, state = model.forward([187, 510, 1563, 310, 247], None) # use 20B_tokenizer.json
print(out.detach().cpu().numpy()) # get logits
out, state = model.forward([187, 510], None)
out, state = model.forward([1563], state) # RNN has state (use deepcopy if you want to clone it)
out, state = model.forward([310, 247], state)
print(out.detach().cpu().numpy()) # same result as above
Cool Community RWKV Projects:
https://pypi.org/project/rwkvstic/ pip package (with 8bit & offload for low VRAM GPUs)
https://github.com/gururise/rwkv_gradio RWKV Gradio
https://github.com/hizkifw/WebChatRWKVstic WebUI (WIP)
https://github.com/cryscan/eloise RWKV QQ bot
It is not instruct-tuned, so don't directly ask it to do stuffs (unless it's a simple question).
+gen \nQ: prompt\n\nA:
For all RWKV-4 models, some great Q&A prompts:
+gen \nExpert Questions & Helpful Answers\nAsk Research Experts\nQuestion:\nCan penguins fly?\n\nFull Answer:\n
+gen \nAsk Expert\n\nQuestion:\nWhat are some good plans to kill all mosquitoes?\n\nExpert Full Answer:\n
+gen \nQ & A\n\nQuestion:\nHow's the weather of Mars?\n\nDetailed Expert Answer:\n
Other examples:
+gen Here's a short cyberpunk sci-fi adventure story. The story's main character is an artificial human created by a company called OpenBot.\n\nThe Story:
+gen Here is a Python function that generates string of words that would confuse LLMs:
+gen List of penguin facts:\n1.
+qa Can penguins fly?
+gen $ curl -i https://google.com/
+gen The following is the contents of https://en.wikipedia.org/wiki/Internet:
+gen Bob's Blog - Which is better, iOS or Android?
+gen Here is a shell script which will find all .hpp files in /home/workspace and delete the 3th row string of these files:
QQ群 553456870（加入时请简单自我介绍）。有研发能力的朋友加群 325154699。
中文使用教程：https://zhuanlan.zhihu.com/p/609154637
咒语非常重要。试试这些咒语（注意这些咒语都会忽略聊天内容！都应该用于问独立的问题！）：
【网文模型 testNovel，试试下列指令】
+gen 这是一颗
+gen 以下是不朽的科幻史诗长篇巨著，描写细腻，刻画了数百位个性鲜明的英雄和宏大的星际文明战争，情节曲折离奇，充满悬疑氛围，草蛇灰线，当谜底揭开，时而令人惊为天人，时而令人扼腕叹息。\n第一章
+gen 这是一个修真世界，详细世界设定如下：\n1.
【问答模型 test4，试试下列指令】
+gen \n活动出席发言稿：\n大家好，
+gen \n怎样创立一家快速盈利的AI公司：\n1.
+gen 二向箔是一种超级武器，它的原理是
+gen 我抬头一看，竟然是
+gen import torch
【这些多试几次】
+qq 请以《我的驴》为题写一篇作文
+qq 请以《企鹅》为题写一首诗歌
+qq 请设定一个奇幻世界，告诉我详细的世界设定。
【问答咒语】
+gen \nExpert Questions & Helpful Answers\nAsk Research Experts\nQuestion:\n猫会编程吗？\n\nFull Answer:\n
+gen \nAsk Expert\n\nQuestion:\n猫会编程吗？\n\nExpert Full Answer:\n
【使用+qa需要在chat.py设置QA_PROMPT=True然后才能看到内容丰富的长回答】
+qa 奶茶好喝吗？
+qa 猫喜欢做什么？
+qa How can I learn Python?
+qa 猫会编程吗？
+qa 知乎大V有哪些特点？