当前位置: 首页> 财经> 股票 > 厦门网页设计工作室_企业信息化平台建设方案_百度网址浏览大全_快速推广

厦门网页设计工作室_企业信息化平台建设方案_百度网址浏览大全_快速推广

时间:2025/7/11 19:01:03来源:https://blog.csdn.net/we2006mo/article/details/147251558 浏览次数:0次
厦门网页设计工作室_企业信息化平台建设方案_百度网址浏览大全_快速推广

文档:官方文档

Data Agents

我这里就说下细节,我是

小兵我是在在服务器里部署的,不建议小的服务器部署,会GG了

1. 前置环境

因为DB-GPT 越来越强大了,只用pip来管理依赖包的话不太优雅,因此使用 uv 来管理。我最近写的项目也再慢慢转 uv 了,也推荐大家慢慢转过来。本教程讲解以 代理模型 为例, 也就是 openai-proxy

1.1 uv 安装
 

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
当然我这里用到的是conda来进行虚拟环境
1.2项目拉取
git clone https://github.com/eosphoros-ai/DB-GPT.git
cd DB-GPT

 

弄好后,记得把sqlite3 的数据也弄好哦,特别提醒

拉取完后,我是本地部署的

1.3Local(本地模型):
uv sync --all-packages --extra "base" --extra "cuda121" --extra "hf" --extra "rag" --extra "storage_chromadb" --extra "quant_bnb" --extra "dbgpts"

安装完包后

可以提前把模型下载

git clone https://www.modelscope.cn/Qwen/Qwen2.5-14B-Instruct.gitgit clone https://hf-mirror.com/BAAI/bge-large-zh-v1.5.git

这里大概33G+,请耐心等待

2.最后

1步骤
cd E:\DB-GPT\

2进入环境
conda activate dbgpt_env_7

3.执行系统运行
uv run dbgpt start webserver --config .\configs\dbgpt-local-qwen.toml

这里提醒一下,local本地一定运行对应的配置文件

[system]
# Load language from environment variable(It is set by the hook)
language = "${env:DBGPT_LANG:-zh}"
api_keys = []
encrypt_key = "your_secret_key"# Server Configurations
[service.web]
host = "0.0.0.0"
port = 5670[service.web.database]
type = "sqlite"
path = "pilot/meta_data/dbgpt.db"[rag.storage]
[rag.storage.vector]
type = "chroma"
persist_path = "pilot/data"# Model Configurations
[models]
[[models.llms]]
name = "Qwen2.5-0.5B-Instruct"
provider = "hf"
# If not provided, the model will be downloaded from the Hugging Face model hub
# uncomment the following line to specify the model path in the local file system
# path = "the-model-path-in-the-local-file-system"
path = "models/Qwen2.5-0.5B-Instruct"[[models.embeddings]]
name = "BAAI/bge-large-zh-v1.5"
provider = "hf"
# If not provided, the model will be downloaded from the Hugging Face model hub
# uncomment the following line to specify the model path in the local file system
# path = "the-model-path-in-the-local-file-system"
path = "models/BAAI/bge-large-zh-v1.5"

配置文件根据实际的情况来改

特别注意

# Model Configurations
[models]
[[models.llms]]
name = "Qwen2.5-0.5B-Instruct"
provider = "hf"
# If not provided, the model will be downloaded from the Hugging Face model hub
# uncomment the following line to specify the model path in the local file system
# path = "the-model-path-in-the-local-file-system"
path = "models/Qwen2.5-0.5B-Instruct"[[models.embeddings]]
name = "BAAI/bge-large-zh-v1.5"
provider = "hf"
# If not provided, the model will be downloaded from the Hugging Face model hub
# uncomment the following line to specify the model path in the local file system
# path = "the-model-path-in-the-local-file-system"
path = "models/BAAI/bge-large-zh-v1.5"

这里的路径和模型名称一定要对上,否则无法加载

提示如果本地部署,内容不够建议32G以上,这是最少的。

关键字:厦门网页设计工作室_企业信息化平台建设方案_百度网址浏览大全_快速推广

版权声明:

本网仅为发布的内容提供存储空间,不对发表、转载的内容提供任何形式的保证。凡本网注明“来源:XXX网络”的作品,均转载自其它媒体,著作权归作者所有,商业转载请联系作者获得授权,非商业转载请注明出处。

我们尊重并感谢每一位作者,均已注明文章来源和作者。如因作品内容、版权或其它问题,请及时与我们联系,联系邮箱:809451989@qq.com,投稿邮箱:809451989@qq.com

责任编辑: