【基础岛·第2关】8G 显存玩转书生大模型 Demo

• 创建开发机
• 环境配置
• Cli Demo 部署 InternLM2-Chat-1.8B 模型

创建开发机

我们选择 10% 的开发机，镜像选择为 Cuda-12.2。在输入开发机名称后，点击创建开发机

环境配置

在 /root/share/pre_envs 中配置好了预置环境 icamp3_demo
可以通过如下指令进行激活：

conda activate /root/share/pre_envs/icamp3_demo

Cli Demo 部署 InternLM2-Chat-1.8B 模型

首先，我们创建一个目录，用于存放我们的代码。并创建一个 cli_demo.py。

mkdir -p /root/demo
touch /root/demo/cli_demo.py

然后，我们将下面的代码复制到 cli_demo.py 中。

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)

运行代码，询问了一个关于24节气的问题