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Run Huggingface RWKV5 World Model

CPU

import torch
from transformers import AutoModelForCausalLM, AutoTokenizer

def generate_prompt(instruction, input=""):
    instruction = instruction.strip().replace('\r\n','\n').replace('\n\n','\n')
    input = input.strip().replace('\r\n','\n').replace('\n\n','\n')
    if input:
        return f"""Instruction: {instruction}

Input: {input}

Response:"""
    else:
        return f"""User: hi

Assistant: 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.

User: {instruction}

Assistant:"""


model = AutoModelForCausalLM.from_pretrained("RWKV/rwkv-4-world-3b", trust_remote_code=True).to(torch.float32)
tokenizer = AutoTokenizer.from_pretrained("RWKV/rwkv-4-world-3b", trust_remote_code=True)

text = "请介绍北京的旅游景点"
prompt = generate_prompt(text)

inputs = tokenizer(prompt, return_tensors="pt")
output = model.generate(inputs["input_ids"], max_new_tokens=333, do_sample=True, temperature=1.0, top_p=0.3, top_k=0, )
print(tokenizer.decode(output[0].tolist(), skip_special_tokens=True))

output:

User: hi

Assistant: 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.

User: 请介绍北京的旅游景点

Assistant: 北京是中国的首都,拥有众多的旅游景点,以下是其中一些著名的景点:
1. 故宫:位于北京市中心,是明清两代的皇宫,内有大量的文物和艺术品。
2. 天安门广场:是中国最著名的广场之一,是中国人民政治协商会议的旧址,也是中国人民政治协商会议的中心。
3. 颐和园:是中国古代皇家园林之一,有着悠久的历史和丰富的文化内涵。
4. 长城:是中国古代的一道长城,全长约万里,是中国最著名的旅游景点之一。
5. 北京大学:是中国著名的高等教育机构之一,有着悠久的历史和丰富的文化内涵。
6. 北京动物园:是中国最大的动物园之一,有着丰富的动物资源和丰富的文化内涵。
7. 故宫博物院:是中国最著名的博物馆之一,收藏了大量的文物和艺术品,是中国最重要的文化遗产之一。
8. 天坛:是中国古代皇家

GPU

import torch
from transformers import AutoModelForCausalLM, AutoTokenizer

def generate_prompt(instruction, input=""):
    instruction = instruction.strip().replace('\r\n','\n').replace('\n\n','\n')
    input = input.strip().replace('\r\n','\n').replace('\n\n','\n')
    if input:
        return f"""Instruction: {instruction}

Input: {input}

Response:"""
    else:
        return f"""User: hi

Assistant: 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.

User: {instruction}

Assistant:"""


model = AutoModelForCausalLM.from_pretrained("RWKV/rwkv-4-world-3b", trust_remote_code=True, torch_dtype=torch.float16).to(0)
tokenizer = AutoTokenizer.from_pretrained("RWKV/rwkv-4-world-3b", trust_remote_code=True)

text = "乌兰察布"
prompt = generate_prompt(text)

inputs = tokenizer(prompt, return_tensors="pt").to(0)
output = model.generate(inputs["input_ids"], max_new_tokens=128, do_sample=True, temperature=1.0, top_p=0.3, top_k=0, )
print(tokenizer.decode(output[0].tolist(), skip_special_tokens=True))

output:

User: hi

Assistant: 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.

User: 乌兰察布

Assistant: 乌兰察布市是中国新疆维吾尔自治区的一个地级市,位于新疆维吾尔自治区西南部,毗邻青海省。乌兰察布市是新疆维吾尔自治区的重要城市之一,也是新疆维吾尔自治区的第二大城市。乌兰察布市是新疆的重要经济中心之一,拥有丰富的自然资源和人口密度,是新疆的重要交通枢纽和商
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