# SOME DESCRIPTIVE TITLE.
# Copyright (C) 2023, csunny
# This file is distributed under the same license as the DB-GPT package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2023.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: DB-GPT 0.1.0\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2023-06-14 21:47+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language: zh_CN\n"
"Language-Team: zh_CN <LL@li.org>\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Generated-By: Babel 2.12.1\n"

#: ../../getting_started/getting_started.md:1 d1c1cb0cdf374e60924001460f369485
msgid "Quickstart Guide"
msgstr "使用指南"

#: ../../getting_started/getting_started.md:3 5c76cdb6530644ed872329ecc1bd51ec
msgid ""
"This tutorial gives you a quick walkthrough about use DB-GPT with you "
"environment and data."
msgstr "本教程为您提供了关于如何使用DB-GPT的使用指南。"

#: ../../getting_started/getting_started.md:5 8c442e4870e549359920ec83d4a77083
msgid "Installation"
msgstr "安装"

#: ../../getting_started/getting_started.md:7 d302009cb3f64959872d278c4aad7cfa
msgid "To get started, install DB-GPT with the following steps."
msgstr "请按照以下步骤安装DB-GPT"

#: ../../getting_started/getting_started.md:9 7deb38572ec74f5392ba09749a2b350b
msgid "1. Hardware Requirements"
msgstr "1. 硬件要求"

#: ../../getting_started/getting_started.md:10 7ee61b468637478cad173fa4685ef952
msgid ""
"As our project has the ability to achieve ChatGPT performance of over "
"85%, there are certain hardware requirements. However, overall, the "
"project can be deployed and used on consumer-grade graphics cards. The "
"specific hardware requirements for deployment are as follows:"
msgstr "由于我们的项目有能力达到85%以上的ChatGPT性能，所以对硬件有一定的要求。但总体来说，我们在消费级的显卡上即可完成项目的部署使用，具体部署的硬件说明如下:"

#: ../../getting_started/getting_started.md e9f0871662384ab9a24711856a27fdfb
msgid "GPU"
msgstr "GPU"

#: ../../getting_started/getting_started.md 0dca27585b9c4357bd4f7b52ff664673
msgid "VRAM Size"
msgstr "显存大小"

#: ../../getting_started/getting_started.md fe84cb97a226490eb940dfcf6e581272
msgid "Performance"
msgstr "显存大小"

#: ../../getting_started/getting_started.md bfdc630854674c5db6be46114a67542d
msgid "RTX 4090"
msgstr "RTX 4090"

#: ../../getting_started/getting_started.md 5e38a7184e024b09be3a858084b60344
#: 629db58b707c48a2ae93d7396bcd0d67
msgid "24 GB"
msgstr "24 GB"

#: ../../getting_started/getting_started.md 625714d5b7cb4550a81305b5c2410980
msgid "Smooth conversation inference"
msgstr "可以流畅的进行对话推理，无卡顿"

#: ../../getting_started/getting_started.md 8334aa5646b84a4ba6c0df7a55e52f6e
msgid "RTX 3090"
msgstr "RTX 3090"

#: ../../getting_started/getting_started.md 84771e5190084d6fab19fa8f3b5e2a30
msgid "Smooth conversation inference, better than V100"
msgstr "可以流畅进行对话推理，有卡顿感，但好于V100"

#: ../../getting_started/getting_started.md 0a539471bf6648e5827d9e10549b81e3
msgid "V100"
msgstr "V100"

#: ../../getting_started/getting_started.md 8bed4645111a4001b5967678a54c6037
msgid "16 GB"
msgstr "16 GB"

#: ../../getting_started/getting_started.md f3ec49d1591d4cdc9f967c9df5bb8245
msgid "Conversation inference possible, noticeable stutter"
msgstr "可以进行对话推理，有明显卡顿"

#: ../../getting_started/getting_started.md:18 6006a3d8744746dbab615b438eb6234b
msgid "2. Install"
msgstr "2. 安装"

#: ../../getting_started/getting_started.md:20 eea3037d218843b78e56412490ae6a62
msgid ""
"This project relies on a local MySQL database service, which you need to "
"install locally. We recommend using Docker for installation."
msgstr "本项目依赖一个本地的 MySQL 数据库服务，你需要本地安装，推荐直接使用 Docker 安装。"

#: ../../getting_started/getting_started.md:25 4a220bf247c549eaa0d059f29e1c3a7d
msgid ""
"We use [Chroma embedding database](https://github.com/chroma-core/chroma)"
" as the default for our vector database, so there is no need for special "
"installation. If you choose to connect to other databases, you can follow"
" our tutorial for installation and configuration.  For the entire "
"installation process of DB-GPT, we use the miniconda3 virtual "
"environment. Create a virtual environment and install the Python "
"dependencies."
msgstr ""
"向量数据库我们默认使用的是Chroma内存数据库，所以无需特殊安装，如果有需要连接其他的同学，可以按照我们的教程进行安装配置。整个DB-"
"GPT的安装过程，我们使用的是miniconda3的虚拟环境。创建虚拟环境，并安装python依赖包"

#: ../../getting_started/getting_started.md:35 b51c85b6ec0f4c45afc648d98424a79f
msgid ""
"Once the environment is installed, we have to create a new folder "
"\"models\" in the DB-GPT project, and then we can put all the models "
"downloaded from huggingface in this directory"
msgstr ""
"环境安装完成后，我们必须在DB-"
"GPT项目中创建一个新文件夹\"models\"，然后我们可以把从huggingface下载的所有模型放到这个目录下。"

#: ../../getting_started/getting_started.md:43 617f2b53e33e4e7a96b3aef879a1ebe7
msgid ""
"The model files are large and will take a long time to download. During "
"the download, let's configure the .env file, which needs to be copied and"
" created from the .env.template"
msgstr "模型文件很大，需要很长时间才能下载。在下载过程中，让我们配置.env文件，它需要从。env.template中复制和创建。"

#: ../../getting_started/getting_started.md:49 0f403de4e9574c3a9058495df8c21961
msgid ""
"You can configure basic parameters in the .env file, for example setting "
"LLM_MODEL to the model to be used"
msgstr "您可以在.env文件中配置基本参数，例如将LLM_MODEL设置为要使用的模型。"

#: ../../getting_started/getting_started.md:51 e3dce051a2e64478872433890b06cb5d
msgid "3. Run"
msgstr "3. 运行"

#: ../../getting_started/getting_started.md:52 b7ec5fab25b249b5bc811d08049307c3
msgid ""
"You can refer to this document to obtain the Vicuna weights: "
"[Vicuna](https://github.com/lm-sys/FastChat/blob/main/README.md#model-"
"weights) ."
msgstr ""
"关于基础模型, 可以根据[Vicuna](https://github.com/lm-"
"sys/FastChat/blob/main/README.md#model-weights) 合成教程进行合成。"

#: ../../getting_started/getting_started.md:54 6cab130775394122bfb040ea9797c694
msgid ""
"If you have difficulty with this step, you can also directly use the "
"model from [this link](https://huggingface.co/Tribbiani/vicuna-7b) as a "
"replacement."
msgstr ""
"如果此步有困难的同学，也可以直接使用[此链接](https://huggingface.co/Tribbiani/vicuna-"
"7b)上的模型进行替代。"

#: ../../getting_started/getting_started.md:56 381fc71965dd44adac2141677e0dd085
msgid "Run server"
msgstr "运行模型服务"

#: ../../getting_started/getting_started.md:61 47001c4d9f9449fab0dadefd02b76f6d
msgid ""
"Starting `llmserver.py` with the following command will result in a "
"relatively stable Python service with multiple processes."
msgstr ""

#: ../../getting_started/getting_started.md:66 ae3b8aa1e8694715a721717ab4bc182e
msgid "Run gradio webui"
msgstr "运行模型服务"

#: ../../getting_started/getting_started.md:72 0ad4bbedf5ed498686dafb8b148bf63c
msgid ""
"Notice:  the webserver need to connect llmserver,  so you need change the"
" .env file. change the MODEL_SERVER = \"http://127.0.0.1:8000\" to your "
"address.  It's very important."
msgstr ""
"注意: 在启动Webserver之前, 需要修改.env 文件中的MODEL_SERVER = "
"\"http://127.0.0.1:8000\", 将地址设置为你的服务器地址。"

#~ msgid ""
#~ "Starting `llmserver.py` with the following "
#~ "command will result in a relatively "
#~ "stable Python service with multiple "
#~ "processes."
#~ msgstr "使用以下命令启动llmserver.py将会得到一个相对稳定的Python服务，并且具有多个进程。"

