复制以下语句

python3 -m venv myvenv

source myvenv/bin/activate



pip install modelscope
pip install transformers_stream_generator
pip install transformers
pip install tiktoken
pip install accelerate
pip install bitsandbytes


touch run.py
vi run.py

复制下面代码粘贴 到 run.py

import os
import platform
from modelscope import AutoModelForCausalLM, AutoTokenizer, GenerationConfig

model_id = 'qwen/Qwen-7B-Chat'
revision = 'v1.0.1'
tokenizer = AutoTokenizer.from_pretrained(model_id, revision=revision, trust_remote_code=True)
# use fp16
model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto", revision=revision, 
                                             trust_remote_code=True, fp16=True).eval()
model.generation_config = GenerationConfig.from_pretrained(model_id,
                                                           trust_remote_code=True)  # 可指定不同的生成长度、top_p等相关超参

stop_stream = False


def clear_screen():
    if platform.system() == "Windows":
        os.system("cls")
    else:
        os.system("clear")


def print_history(history):
    for pair in history:
        print(f"\nUser：{pair[0]}\nQwen-7B：{pair[1]}")


def main():
    history, response = [], ''
    global stop_stream
    clear_screen()
    print("欢迎使用 Qwen-7B 模型，输入内容即可进行对话，clear 清空对话历史，stop 终止程序")
    while True:
        query = input("\nUser：")
        if query.strip() == "stop":
            break
        if query.strip() == "clear":
            history = []
            clear_screen()
            print("欢迎使用 Qwen-7B 模型，输入内容即可进行对话，clear 清空对话历史，stop 终止程序")
            continue
        for response in model.chat(tokenizer, query, history=history, stream=True):
            if stop_stream:
                stop_stream = False
                break
            else:
                clear_screen()
                print_history(history)
                print(f"\nUser: {query}")
                print("\nQwen-7B：", end="")
                print(response)

        history.append((query, response))


if __name__ == "__main__":
    main()

按下以下按键: ESC键 :wq 回车
就保存好了

然后就运行

python run.py