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基础任务:用 Cli Demo 完成 InternLM2-Chat-1.8B 模型的部署，并生成 300 字小故事

• 我没有按照教程来
• 启动开发机,并选择cu11.7
• 撰写部署环境脚本并执行
• vi demo_env.sh, 复制下面代码进去然后bash demo_env.sh

	conda create -n demo python=3.10 -y
	source activate demo
	pip install torch==2.0.1+cu117 torchvision==0.15.2+cu117 torchaudio==2.0.2 torchtext==0.15.2 -f https://mirror.sjtu.edu.cn/pytorch-wheels/cu117/?mirror_intel_list -f https://download.pytorch.org/whl/cu117/torch_stable.html
	pip install transformers sentencepiece einops \
	protobuf accelerate streamlit

• vi cli_demo.py, 复制下面代码进去然后conda activate demo && python cli_demo.py

import torch
from transformers import AutoTokenizer, AutoModelForCausalLM


model_name_or_path = "/root/share/new_models/Shanghai_AI_Laboratory/internlm2-chat-1_8b"

tokenizer = AutoTokenizer.from_pretrained(model_name_or_path, trust_remote_code=True, device_map='cuda:0')
model = AutoModelForCausalLM.from_pretrained(model_name_or_path, trust_remote_code=True, torch_dtype=torch.bfloat16, device_map='cuda:0')
model = model.eval()

system_prompt = """You are an AI assistant whose name is InternLM (书生·浦语).
- InternLM (书生·浦语) is a conversational language model that is developed by Shanghai AI Laboratory (上海人工智能实验室). It is designed to be helpful, honest, and harmless.
- InternLM (书生·浦语) can understand and communicate fluently in the language chosen by the user such as English and 中文.
"""

messages = [(system_prompt, '')]

print("=============Welcome to InternLM chatbot, type 'exit' to exit.=============")

while True:
    input_text = input("\nUser  >>> ")
    input_text = input_text.replace(' ', '')
    if input_text == "exit":
        break

    length = 0
    for response, _ in model.stream_chat(tokenizer, input_text, messages):
        if response is not None:
            print(response[length:], flush=True, end="")
            length = len(response)
            

- ^新建文件夹

• ^ 安装env

• 载入LLM,进行提问.发现占用5G VRAM

• ^ 问他生成一个黑白小狗的300字故事.(真慢啊1_8b!)