书生大模型实战营-L1-8G显存玩转书生大模型Demo

本文最后更新于:2024年9月30日 19:29

本节任务要点

基础任务(完成此任务即完成闯关)

  • 使用 Cli Demo 完成 InternLM2-Chat-1.8B 模型的部署,并生成 300 字小故事,记录复现过程并截图。

进阶任务(闯关不要求完成此任务)

  • 使用 LMDeploy 完成 InternLM-XComposer2-VL-1.8B 的部署,并完成一次图文理解对话,记录复现过程并截图。
  • 使用 LMDeploy 完成 InternVL2-2B 的部署,并完成一次图文理解对话,记录复现过程并截图。

实践流程

激活环境

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conda activate /root/share/pre_envs/icamp3_demo

命令行部署 InternLM2-Chat-1.8B

创建 cli_demo.py

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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)

执行python cli_demo.py

image-20240930164844623

Streamlit Web Demo 部署 InternLM2-Chat-1.8B

运行

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cd /root/project/Tutorial/tools
streamlit run streamlit_demo.py --server.address 127.0.0.1 --server.port 6006

生成小故事

image-20240930165511890

LMDeploy 部署 InternLM-XComposer2-VL-1.8B 模型

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conda activate /root/share/pre_envs/icamp3_demo
lmdeploy serve gradio /share/new_models/Shanghai_AI_Laboratory/internlm-xcomposer2-vl-1_8b --cache-max-entry-count 0.1

image-20240930170108212

LMDeploy 部署 InternVL2-2B 模型

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conda activate /root/share/pre_envs/icamp3_demo
lmdeploy serve gradio /share/new_models/OpenGVLab/InternVL2-2B --cache-max-entry-count 0.1

image-20240930170707469

总结

我们ai真是太厉害了,多模态未来可期!


书生大模型实战营-L1-8G显存玩转书生大模型Demo
https://junyaohu.github.io/2024/09/30/internlm-L1-8gdemo/
作者
JunyaoHu
发布于
2024年9月30日 10:00
更新于
2024年9月30日 19:29
许可协议