diff --git a/README.zh.md b/README.zh.md
index 35333eb3b..4412382ba 100644
--- a/README.zh.md
+++ b/README.zh.md
@@ -148,25 +148,29 @@ DB-GPT基于 [FastChat](https://github.com/lm-sys/FastChat) 构建大模型运
 - [DB-GPT-Web](https://github.com/csunny/DB-GPT-Web)  多端交互前端界面
 
 ## Image
+
 🌐 [AutoDL镜像](https://www.codewithgpu.com/i/csunny/DB-GPT/dbgpt-0.3.1-v2)
 
 🌐 [阿里云镜像](http://dbgpt.site/web/#/p/dc4bb97e0bc15302dbf3a5d5571142dd)
 
 ## 安装
-[快速开始](https://db-gpt.readthedocs.io/projects/db-gpt-docs-zh-cn/zh_CN/latest/getting_started/getting_started.html)
+
+![Docker](https://img.shields.io/badge/docker-%230db7ed.svg?style=for-the-badge&logo=docker&logoColor=white)
+![Linux](https://img.shields.io/badge/Linux-FCC624?style=for-the-badge&logo=linux&logoColor=black)
+![macOS](https://img.shields.io/badge/mac%20os-000000?style=for-the-badge&logo=macos&logoColor=F0F0F0)
+
+[**快速开始
+**](https://db-gpt.readthedocs.io/projects/db-gpt-docs-zh-cn/zh_CN/latest/getting_started/getting_started.html)
 
 ### 多语言切换
-  在.env 配置文件当中，修改LANGUAGE参数来切换使用不同的语言，默认是英文(中文zh, 英文en, 其他语言待补充)
 
-### 平台部署
-- autodl
-  [autodl镜像](https://www.codewithgpu.com/i/csunny/DB-GPT/csunny-db-gpt)，从头搭建可参考镜像说明，或通过`docker pull`获取共享镜像，按照文档中的说明操作即可，若有问题，欢迎评论。
+在.env 配置文件当中，修改LANGUAGE参数来切换使用不同的语言，默认是英文(中文zh, 英文en, 其他语言待补充)
 
 ## 使用说明
 
 ### 多模型使用
-  [使用指南](https://db-gpt.readthedocs.io/projects/db-gpt-docs-zh-cn/zh_CN/latest/modules/llms.html)
 
+[使用指南](https://db-gpt.readthedocs.io/projects/db-gpt-docs-zh-cn/zh_CN/latest/modules/llms.html)
 
 如果在使用知识库时遇到与nltk相关的错误，您需要安装nltk工具包。更多详情，请参见：[nltk文档](https://www.nltk.org/data.html)
 Run the Python interpreter and type the commands:
diff --git a/docs/getting_started/install/deploy/deploy.md b/docs/getting_started/install/deploy/deploy.md
index 49f31d732..a2595cdff 100644
--- a/docs/getting_started/install/deploy/deploy.md
+++ b/docs/getting_started/install/deploy/deploy.md
@@ -61,8 +61,11 @@ Once the environment is installed, we have to create a new folder "models" in th
 
 ```{tip}
 Notice make sure you have install git-lfs
+
 centos:yum install git-lfs
+
 ubuntu:app-get install git-lfs
+
 macos:brew install git-lfs
 ```
 
@@ -99,10 +102,16 @@ You can configure basic parameters in the .env file, for example setting LLM_MOD
 ```bash
 $ python pilot/server/dbgpt_server.py
 ```
+
 Open http://localhost:5000 with your browser to see the product.
 
-If you want to access an external LLM service, you need to 1.set the variables LLM_MODEL=YOUR_MODEL_NAME MODEL_SERVER=YOUR_MODEL_SERVER（eg:http://localhost:5000） in the .env file.
+```tip
+If you want to access an external LLM service, you need to
+
+1.set the variables LLM_MODEL=YOUR_MODEL_NAME, MODEL_SERVER=YOUR_MODEL_SERVER（eg:http://localhost:5000） in the .env file.
+
 2.execute dbgpt_server.py in light mode
+```
 
 If you want to learn about dbgpt-webui, read https://github./csunny/DB-GPT/tree/new-page-framework/datacenter
 
@@ -110,8 +119,7 @@ If you want to learn about dbgpt-webui, read https://github./csunny/DB-GPT/tree/
 $ python pilot/server/dbgpt_server.py --light
 ```
 
-
-### 4. Multiple GPUs
+### Multiple GPUs
 
 DB-GPT will use all available gpu by default. And you can modify the setting `CUDA_VISIBLE_DEVICES=0,1` in `.env` file to use the specific gpu IDs.
 
@@ -127,7 +135,7 @@ CUDA_VISIBLE_DEVICES=3,4,5,6 python3 pilot/server/dbgpt_server.py
 
 You can modify the setting `MAX_GPU_MEMORY=xxGib` in `.env` file to configure the maximum memory used by each GPU.
 
-### 5. Not Enough Memory
+### Not Enough Memory
 
 DB-GPT supported 8-bit quantization and 4-bit quantization.
 
diff --git a/docs/locales/zh_CN/LC_MESSAGES/faq.po b/docs/locales/zh_CN/LC_MESSAGES/faq.po
index 9ea1f19ca..958b9c3d2 100644
--- a/docs/locales/zh_CN/LC_MESSAGES/faq.po
+++ b/docs/locales/zh_CN/LC_MESSAGES/faq.po
@@ -8,7 +8,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: DB-GPT 👏👏 0.3.0\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2023-08-16 18:31+0800\n"
+"POT-Creation-Date: 2023-08-17 21:23+0800\n"
 "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
 "Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
 "Language: zh_CN\n"
@@ -19,22 +19,129 @@ msgstr ""
 "Content-Transfer-Encoding: 8bit\n"
 "Generated-By: Babel 2.12.1\n"
 
-#: ../../faq.md:8 ded9afcc91594bce8950aa688058a5b6
+#: ../../faq.md:1 a39cbc25271841d79095c1557a817a76
+msgid "FAQ"
+msgstr ""
+
+#: ../../faq.md:2 b08ce199a11b4d309142866a637bc3d0
+msgid "Q1: text2vec-large-chinese not found"
+msgstr ""
+
+#: ../../faq.md:4 754a61fa05a846f4847bd988c4049ceb
+msgid ""
+"A1: make sure you have download text2vec-large-chinese embedding model in"
+" right way"
+msgstr ""
+
+#: ../../faq.md:16 5a3d32eacdd94f59bb4039c3d6380fc9
+msgid ""
+"Q2: execute `pip install -r requirements.txt` error, found some package "
+"cannot find correct version."
+msgstr ""
+
+#: ../../faq.md:19 54b322726a074d6d9c1a957310774aba
+msgid "A2: change the pip source."
+msgstr ""
+
+#: ../../faq.md:26 ../../faq.md:33 0c238f86900243e5b5e9a49e4ef37063
+#: 245e48f636524172b1b9ba4144946007
+msgid "or"
+msgstr ""
+
+#: ../../faq.md:41 f2f7025f324c4065abf244a3adb4e4f6
+msgid "Q3:Access denied for user 'root@localhost'(using password :NO)"
+msgstr ""
+
+#: ../../faq.md:43 f14fd1c2d2ed454491e0a876fd2971a4
+msgid "A3: make sure you have installed mysql instance in right way"
+msgstr ""
+
+#: ../../faq.md:45 6d499bfb6c0142ec838f68696f793c3d
+msgid "Docker:"
+msgstr ""
+
+#: ../../faq.md:49 71137fe8a30d42e7943dd2a4402b2094
+msgid "Normal: [download mysql instance](https://dev.mysql.com/downloads/mysql/)"
+msgstr ""
+
+#: ../../faq.md:52 ec5d5f79cbe54328902e6e9b820276e7
+msgid "Q4:When I use openai(MODEL_SERVER=proxyllm) to chat"
+msgstr ""
+
+#: ../../faq.md:58 d2cbee8bbfd54b4b853ccbdbf1c30c97
+msgid "A4: make sure your openapi API_KEY is available"
+msgstr ""
+
+#: ../../faq.md:60 c506819975c841468af1899730df3ed1
 msgid "Q5:When I Chat Data and Chat Meta Data, I found the error"
 msgstr "Chat Data and Chat Meta Data报如下错"
 
-#: ../../faq.md:13 25237221f65c47a2b62f5afbe637d6e7
+#: ../../faq.md:67 af52123acad74c28a50f93d53da6afa9
 msgid "A5: you have not create your database and table"
 msgstr "需要创建自己的数据库"
 
-#: ../../faq.md:14 8c9024f1f4d7414499587e3bdf7d56d1
+#: ../../faq.md:68 05bf6d858df44157bfb5480f9e8759fb
 msgid "1.create your database."
 msgstr "1.先创建数据库"
 
-#: ../../faq.md:20 afc7299d3b4e4d98b17fd6157d440970
+#: ../../faq.md:74 363d4fbb2a474c64a54c2659844596b5
 msgid "2.create table {$your_table} and insert your data.  eg:"
 msgstr "然后创建数据表，模拟数据"
 
+#: ../../faq.md:88 5f3a9b9d7e6f444a87deb17b5a1a45af
+msgid "Q6:How to change Vector DB Type in DB-GPT."
+msgstr ""
+
+#: ../../faq.md:90 ee1d4dfa813942e1a3d1219f21bc041f
+msgid "A6: Update .env file and set VECTOR_STORE_TYPE."
+msgstr ""
+
+#: ../../faq.md:91 71e9e9905bdb46e1925f66a6c12a6afd
+msgid ""
+"DB-GPT currently support Chroma(Default), Milvus(>2.1), Weaviate vector "
+"database. If you want to change vector db, Update your .env, set your "
+"vector store type, VECTOR_STORE_TYPE=Chroma (now only support Chroma and "
+"Milvus(>2.1), if you set Milvus, please set MILVUS_URL and MILVUS_PORT) "
+"If you want to support more vector db, you can integrate yourself.[how to"
+" integrate](https://db-gpt.readthedocs.io/en/latest/modules/vector.html)"
+msgstr ""
+
+#: ../../faq.md:107 d6c4ed8ff8244aa8aef6ea8d8f0a5555
+msgid "Q7:When I use vicuna-13b, found some illegal character like this."
+msgstr ""
+
+#: ../../faq.md:112 911a5051c37244e1b6ea9d3b1bd1fd97
+msgid ""
+"A7: set KNOWLEDGE_SEARCH_TOP_SIZE smaller or set KNOWLEDGE_CHUNK_SIZE "
+"smaller, and reboot server."
+msgstr ""
+
+#: ../../faq.md:114 0566430bbc0541709ed60b81c7372175
+msgid ""
+"Q8:space add error (pymysql.err.OperationalError) (1054, \"Unknown column"
+" 'knowledge_space.context' in 'field list'\")"
+msgstr ""
+
+#: ../../faq.md:117 37419da934b44575bd39bcffffa81482
+msgid "A8:"
+msgstr ""
+
+#: ../../faq.md:118 1c5f46dbccc342329b544ac174a79994
+msgid "1.shutdown dbgpt_server(ctrl c)"
+msgstr ""
+
+#: ../../faq.md:120 35bb76e9d9ec4230a8fab9aed475a4d7
+msgid "2.add column context for table knowledge_space"
+msgstr ""
+
+#: ../../faq.md:124 e198605e42d4452680359487abc349a3
+msgid "3.execute sql ddl"
+msgstr ""
+
+#: ../../faq.md:129 88495f3e66c448faab9f06c4c5cd27ef
+msgid "4.restart dbgpt server"
+msgstr ""
+
 #~ msgid "FAQ"
 #~ msgstr "FAQ"
 
diff --git a/docs/locales/zh_CN/LC_MESSAGES/getting_started/install/deploy/deploy.po b/docs/locales/zh_CN/LC_MESSAGES/getting_started/install/deploy/deploy.po
index 8977ed4db..44440d3f1 100644
--- a/docs/locales/zh_CN/LC_MESSAGES/getting_started/install/deploy/deploy.po
+++ b/docs/locales/zh_CN/LC_MESSAGES/getting_started/install/deploy/deploy.po
@@ -8,7 +8,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: DB-GPT 👏👏 0.3.5\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2023-08-16 23:15+0800\n"
+"POT-Creation-Date: 2023-08-17 21:23+0800\n"
 "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
 "Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
 "Language: zh_CN\n"
@@ -20,34 +20,34 @@ msgstr ""
 "Generated-By: Babel 2.12.1\n"
 
 #: ../../getting_started/install/deploy/deploy.md:1
-#: de443fce549545518824a89604028a2e
+#: de0b03c3b94a4e2aad7d380f532b85c0
 msgid "Installation From Source"
 msgstr "源码安装"
 
 #: ../../getting_started/install/deploy/deploy.md:3
-#: d7b1a80599004c589c9045eba98cc5c9
+#: 65a034e1a90f40bab24899be901cc97f
 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/install/deploy/deploy.md:5
-#: 0ba98573194c4108aedaa2669915e949
+#: 33b15956f7ef446a9aa4cac014163884
 msgid "Installation"
 msgstr "安装"
 
 #: ../../getting_started/install/deploy/deploy.md:7
-#: b8f465fcee2b45009bb1c6356df06b20
+#: ad64dc334e8e43bebc8873afb27f7b15
 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/install/deploy/deploy.md:9
-#: fd5031c97e304023bd6880cd10d58413
+#: 33e12a5bef6c45dbb30fbffae556b664
 msgid "1. Hardware Requirements"
 msgstr "1. 硬件要求"
 
 #: ../../getting_started/install/deploy/deploy.md:10
-#: 05f570b3999f465982c2648f658aed82
+#: dfd3b7c074124de78169f34168b7c757
 msgid ""
 "As our project has the ability to achieve ChatGPT performance of over "
 "85%, there are certain hardware requirements. However, overall, the "
@@ -56,176 +56,176 @@ msgid ""
 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/install/deploy/deploy.md
-#: 5c5ee902c51d4e44aeeac3fa99910098
+#: 3d4530d981bf4dbab815a11c74bfd897
 msgid "GPU"
 msgstr "GPU"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: a3199d1f11474451a06a11503c4e8c74 e3d7c2003b444cb886aec34aaba4acfe
+#: 348c8f9b734244258416ea2e11b76caa f2f5e55b8c9b4c7da0ac090e763a9f47
 msgid "VRAM Size"
 msgstr "显存"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 3bd4ce6f9201483fa579d42ebf8cf556
+#: 9e099897409f42339bc284c378318a72
 msgid "Performance"
 msgstr "Performance"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 8256a27b6a534edea5646589d65eb34e
+#: 65bd67a198a84a5399f4799b505e062c
 msgid "RTX 4090"
 msgstr "RTX 4090"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 25c1f69adc5d4a058dbd28ea4414c3f8 ed85dab6725b4f0baf13ff67a7032777
+#: 75e7f58f8f5d42f081a3e4d2e51ccc18 d897e949b37344d084f6917b977bcceb
 msgid "24 GB"
 msgstr "24 GB"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: f57d2a02d8344a3d9870c1c21728249d
+#: 9cba72a2be3c41bda797ff447b63e448
 msgid "Smooth conversation inference"
 msgstr "Smooth conversation inference"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: aa1e607b65964d43ad93fc9b3cff7712
+#: 90ea71d2099c47acac027773e69d2b23
 msgid "RTX 3090"
 msgstr "RTX 3090"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: c0220f95d58543b498bdf896b2c1a2a1
+#: 7dd339251a1a45be9a45e0bb30bd09f7
 msgid "Smooth conversation inference, better than V100"
 msgstr "Smooth conversation inference, better than V100"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: acf0daf6aa764953b43464c8d6688dd8
+#: 8abe188052464e6aa395392db834c842
 msgid "V100"
 msgstr "V100"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 902f8c48bdad47d587acb1990b4d45b7 e53c23b23b414025be52191beb6d33da
+#: 0b5263806a19446991cbd59c0fec6ba7 d645833d7e854eab81102374bf3fb7d8
 msgid "16 GB"
 msgstr "16 GB"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 68f4b835131c4753b1ba690f3b34daea fac3351a3901481c9e0c5204d6790c75
+#: 83bb5f40fa7f4e9389ac6abdb6bbb285 f9e58862a0cb488194d7ad536f359f0d
 msgid "Conversation inference possible, noticeable stutter"
 msgstr "Conversation inference possible, noticeable stutter"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: d4b9ff72353b4a10bff0647bf50bfe5c
+#: 281f7b3c9a9f450798e5cc7612ea3890
 msgid "T4"
 msgstr "T4"
 
 #: ../../getting_started/install/deploy/deploy.md:19
-#: ddc9544667654f539ca91ac7e8af1268
+#: 7276d432615040b3a9eea3f2c5764319
 msgid ""
 "if your VRAM Size is not enough, DB-GPT supported 8-bit quantization and "
 "4-bit quantization."
 msgstr "如果你的显存不够，DB-GPT支持8-bit和4-bit量化版本"
 
 #: ../../getting_started/install/deploy/deploy.md:21
-#: a6ec9822bc754670bbfc1a8a75e71eb2
+#: f68d085e03d244ed9b5ccec347466889
 msgid ""
 "Here are some of the VRAM size usage of the models we tested in some "
 "common scenarios."
 msgstr "这里是量化版本的相关说明"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: b307fe62a5564cadbf3f2d1387165c6b
+#: 8d397d7ee603448b97153192e6d3e372
 msgid "Model"
 msgstr "Model"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 718fb2ff4fcc488aba8963fc6ad5ea8c
+#: 4c789597627447278e89462690563faa
 msgid "Quantize"
 msgstr "Quantize"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 6079a14fca3d43bfbf14021fcd1534c7 785489b458ca4578bfd586c495b5abb9
+#: a8d7c76224544ce69f376ac7cb2f5a3b dbf2beb53d7e491393b00848d63d7ffa
 msgid "vicuna-7b-v1.5"
 msgstr "vicuna-7b-v1.5"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 1d6a5c19584247d89fb2eb98bcaecc83 278d03ee54e749e1b5f20204ddc36149
-#: 69c01cb441894f059e91400502cd33ae 7fa7d4922bfb4b3bb44b98ea02ff7e78
-#: b8b4566e3a994919b9821cd536504936 d6f4afc865cb40b085b5fc79a09bc7f9
-#: ef05aa05a2d2411a91449ccc18a76211
+#: 1bd5afee2af84597b5a423308e92362c 46d030b6ff1849ebb22b590e6978d914
+#: 4cf8f3ebb0b743ffb2f1c123a25b75d0 6d96be424e6043daa2c02649894aa796
+#: 83bb935f520c4c818bfe37e13034b2a7 92ba161085374917b7f82810b1a2bf00
+#: ca5ccc49ba1046d2b4b13aaa7ceb62f5
 msgid "4-bit"
 msgstr "4-bit"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 1266b6e1dde64dab9e6d8bba2f3f6d09 8ab98ed2c80c48ab9e9694131ffcac67
-#: b94deb7b80c24ce8a694984511e5a02a
+#: 1173b5ee04cb4686ba34a527bc618bdb 558136997f4d49998f2f4e6a9bb656b0
+#: 8d203a9a70684cbaa9d937af8450847f
 msgid "8 GB"
 msgstr "8 GB"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 065f1cf1a1b94ad5803f95f8f019d882 0689708416e14942a76c2808a26bc26e
-#: 29dc55e7659a4d6a999a347c346e1327 5f0fa6c729db4cd7ab42dbdc73ca4e40
-#: 6401e59dc85541a0b20cb2d2c26e4fd0 9071acd973b24d5582f8d879d5e55931
-#: 96f12483ac7447baab6592538cfd567c
+#: 033458b772e3493b80041122e067e194 0f3eda083eac4739b2cf7d21337b145e
+#: 6404eaa486cf45a69a27b0f87a7f6302 8e850aa3acf14ab2b231be74ddb34e86
+#: ba258645f41f47a693aacbbc0f38e981 df67cac599234c4ba667a9b40eb6d9bc
+#: fc07aeb321434722a320fed0afe3ffb8
 msgid "8-bit"
 msgstr "8-bit"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 2d56e3dc1f6a4035a770f7b94c8e0f96 5eebdf37bc544624be5d1b6dabda4716
-#: b9fd2505b4644257b91777bc68d5f41e e7056c195656413f92a0c78b5d14219c
-#: e7b87586700e4da0aaccff0b4c7c54f7 eb5ad729ae784c7cb8dd52fbb12699ae
+#: 3ed2cb5787c14f268c446b03d5531233 68e7f0b0e8ad44ee86a86189bb3b553d
+#: 8b4ea703d1df45c5be90d83c4723f16f cb606e0a458746fd86307c1e8aea08f1
+#: d5da58dbde3c4bb4ac8b464a0a507c62 e8e140c610ec4971afe1b7ec2690382a
 msgid "12 GB"
 msgstr "12 GB"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 529ead731c98461b8cb5452c4e72ab23 7cce32961a654ed2a31edc82724e6a1f
+#: 512cd29c308c4d3ab66dbe63e7ea8f48 78f8307ab96c4245a1f09abcd714034c
 msgid "vicuna-13b-v1.5"
 msgstr "vicuna-13b-v1.5"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 0085b850f3574ba6bf3b3654123882dd 69b2df6df91c49b2b26f6749bf6dc657
-#: 714e9441566e4c8bbdeaad944e64c699
+#: 48849903b3cb4888b6dd3d5efcbb24fb 83178c05f6cf431f82bb1d6d25b2645e
+#: 979e3ab64df14753b0987bdd49bd5cc6
 msgid "20 GB"
 msgstr "20 GB"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 133b65fb88f74645ae5db5cd0009bb35 1e7dedf510e94a47b23eaef61f9687b1
+#: 0496046d1fb644c28361959b395231d7 3871c7c4432b4a15a9888586cdc70eda
 msgid "llama-2-7b"
 msgstr "llama-2-7b"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 0951d03bb6544a2391dcd72eea47c1a7 89f93c8aadc84a0d97d3d89ee55d06bf
+#: 0c7c632d7c4d44fabfeed58fcc13db8f 78ee1adc6a7e4fa188706a1d5356059f
 msgid "llama-2-13b"
 msgstr "llama-2-13b"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 6e5a32858b20441daa4b2584faa46ec4 8bcd62d8cf4f49aebb7d97cd9e015252
+#: 15a9341d4a6649908ef88045edd0cb93 d385381b0b4d4eff96a93a9d299cf516
 msgid "llama-2-70b"
 msgstr "llama-2-70b"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 7f7333221b014cc6857fd9a9e358d85c
+#: de37a5c2b02a498b9344b24f626db9dc
 msgid "48 GB"
 msgstr "48 GB"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 77c24e304e9e4de7b62f99ce29a66a70
+#: e897098f81314ce4bf729aee1de7354c
 msgid "80 GB"
 msgstr "80 GB"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 32c04dc45efb45bcb516640a6d15cce1 e04ad78be6774c32bc53ddd7951cedae
+#: 0782883260f840db8e8bf7c10b5ddf62 b03b5c9343454119ae11fcb2dedf9f90
 msgid "baichuan-7b"
 msgstr "baichuan-7b"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 0fe379939b164e56b0d93113e85fbd98 3400143cf1b94edfbf5da63ed388b08c
+#: 008a7d56e8dc4242ae3503bbbf4db153 65ea9ba20adb45519d65da7b16069fa8
 msgid "baichuan-13b"
 msgstr "baichuan-13b"
 
 #: ../../getting_started/install/deploy/deploy.md:40
-#: 7a05f116e0904d0d84d9fc98e5465494
+#: 1e434048c4844cc1906d83dd68af6d8c
 msgid "2. Install"
 msgstr "2. Install"
 
 #: ../../getting_started/install/deploy/deploy.md:45
-#: 8f4d6c2b69cb46288f593b6c2aa7701e
+#: c6190ea13c024ddcb8e45ea22a235c3b
 msgid ""
 "We use Sqlite as default database, so there is no need for database "
 "installation.  If you choose to connect to other databases, you can "
@@ -240,12 +240,12 @@ msgstr ""
 " Miniconda](https://docs.conda.io/en/latest/miniconda.html)"
 
 #: ../../getting_started/install/deploy/deploy.md:54
-#: 3ffaf7fed0c8422b9ceb2ab82d6ddd4d
+#: ee1e44044b73460ea8cd2f6c2eb6100d
 msgid "Before use DB-GPT Knowledge"
 msgstr "在使用知识库之前"
 
 #: ../../getting_started/install/deploy/deploy.md:60
-#: 2c2ef86e379d4db18bdfdba6133a0b2f
+#: 6a9ff4138c69429bb159bf452fa7ee55
 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 "
@@ -253,44 +253,56 @@ msgid ""
 msgstr "如果你已经安装好了环境需要创建models, 然后到huggingface官网下载模型"
 
 #: ../../getting_started/install/deploy/deploy.md:63
-#: 73a766538b3d4cfaa8d7a68b3c9915b8
-msgid ""
-"Notice make sure you have install git-lfs centos:yum install git-lfs "
-"ubuntu:app-get install git-lfs macos:brew install git-lfs"
+#: 1299b19bd0f24cc896c59e2c8e7e656c
+msgid "Notice make sure you have install git-lfs"
 msgstr ""
-"注意下载模型之前确保git-lfs已经安ubuntu:app-get install git-lfs macos:brew install "
-"git-lfs"
 
-#: ../../getting_started/install/deploy/deploy.md:83
-#: 3c26909ece094ecb9f6343d15cca394a
+#: ../../getting_started/install/deploy/deploy.md:65
+#: 69b3433c8e5c4cbb960e0178bdd6ac97
+msgid "centos:yum install git-lfs"
+msgstr ""
+
+#: ../../getting_started/install/deploy/deploy.md:67
+#: 50e3cfee5fd5484bb063d41693ac75f0
+msgid "ubuntu:app-get install git-lfs"
+msgstr ""
+
+#: ../../getting_started/install/deploy/deploy.md:69
+#: 81c85ca1188b4ef5b94e0431c6309f9b
+msgid "macos:brew install git-lfs"
+msgstr ""
+
+#: ../../getting_started/install/deploy/deploy.md:86
+#: 9b503ea553a24d488e1c180bf30055ff
 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/install/deploy/deploy.md:85
-#: efab7120927d4b3f90e591d736b927a3
+#: ../../getting_started/install/deploy/deploy.md:88
+#: 643b6a27bc0f43ee9451d18d52a9a2eb
 msgid ""
 "if you want to use openai llm service, see [LLM Use FAQ](https://db-"
 "gpt.readthedocs.io/en/latest/getting_started/faq/llm/llm_faq.html)"
-msgstr "如果想使用openai大模型服务, 可以参考[LLM Use FAQ](https://db-"
+msgstr ""
+"如果想使用openai大模型服务, 可以参考[LLM Use FAQ](https://db-"
 "gpt.readthedocs.io/en/latest/getting_started/faq/llm/llm_faq.html)"
 
-#: ../../getting_started/install/deploy/deploy.md:88
-#: 2009fcaad7c34ebfaa900215650256fc
+#: ../../getting_started/install/deploy/deploy.md:91
+#: cc869640e66949e99faa17b1098b1306
 msgid "cp .env.template .env"
 msgstr "cp .env.template .env"
 
-#: ../../getting_started/install/deploy/deploy.md:91
-#: ee97ddf25daf45e3bc32b33693af447a
+#: ../../getting_started/install/deploy/deploy.md:94
+#: 1b94ed0e469f413b8e9d0ff3cdabca33
 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/install/deploy/deploy.md:93
-#: a86fd88e1d0f4925b8d0dbc27535663b
+#: ../../getting_started/install/deploy/deploy.md:96
+#: 52cfa3636f2b4f949035d2d54b39a123
 msgid ""
 "([Vicuna-v1.5](https://huggingface.co/lmsys/vicuna-13b-v1.5) based on "
 "llama-2 has been released, we recommend you set `LLM_MODEL=vicuna-"
@@ -300,52 +312,23 @@ msgstr ""
 "/vicuna-13b-v1.5)， "
 "目前Vicuna-v1.5模型(基于llama2)已经开源了，我们推荐你使用这个模型通过设置LLM_MODEL=vicuna-13b-v1.5"
 
-#: ../../getting_started/install/deploy/deploy.md:95
-#: 5395445ea6324e7c9e15485fad084937
+#: ../../getting_started/install/deploy/deploy.md:98
+#: 491fd44ede1645a3a2db10097c10dbe8
 msgid "3. Run"
 msgstr "3. Run"
 
-#: ../../getting_started/install/deploy/deploy.md:96
-#: cbbc83183f0d49bdb16a3df18adbe8b2
-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 "你可以参考如何获取Vicuna weights文档[Vicuna](https://github.com/lm-sys/FastChat/blob/main/README.md#model-"
-"weights) ."
-
-#: ../../getting_started/install/deploy/deploy.md:98
-#: e0ffb578c7894520bbb850b257e7773c
-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 "如果觉得模型太大你也可以下载vicuna-7b [this link](https://huggingface.co/Tribbiani/vicuna-7b) "
-
-
-#: ../../getting_started/install/deploy/deploy.md:103
-#: 590c7c07cf5347b4aeee0809185c7f45
+#: ../../getting_started/install/deploy/deploy.md:100
+#: f66b8a2b18b34df5b3e74674b4a9d7a9
 msgid "1.Run db-gpt server"
 msgstr "1.Run db-gpt server"
 
-#: ../../getting_started/install/deploy/deploy.md:108
-#: cc1f6d2e37464a4291ee7d33d9ebd75f
+#: ../../getting_started/install/deploy/deploy.md:105
+#: b72283f0ffdc4ecbb4da5239be5fd126
 msgid "Open http://localhost:5000 with your browser to see the product."
 msgstr "打开浏览器访问http://localhost:5000"
 
-#: ../../getting_started/install/deploy/deploy.md:110
-#: 7eef6b17573e4300aa6b693200461f58
-msgid ""
-"If you want to access an external LLM service, you need to 1.set the "
-"variables LLM_MODEL=YOUR_MODEL_NAME "
-"MODEL_SERVER=YOUR_MODEL_SERVER（eg:http://localhost:5000） in the .env "
-"file. 2.execute dbgpt_server.py in light mode"
-msgstr ""
-"如果你想访问外部的大模型服务(是通过DB-"
-"GPT/pilot/server/llmserver.py启动的模型服务)，1.需要在.env文件设置模型名和外部模型服务地址。2.使用light模式启动服务"
-
-#: ../../getting_started/install/deploy/deploy.md:113
-#: 2fa89081574d4d3a92a4c7d33b090d02
+#: ../../getting_started/install/deploy/deploy.md:116
+#: 1fae8a8ce4184feba2d74f877a25d8d2
 msgid ""
 "If you want to learn about dbgpt-webui, read https://github./csunny/DB-"
 "GPT/tree/new-page-framework/datacenter"
@@ -353,53 +336,55 @@ msgstr ""
 "如果你想了解web-ui, 请访问https://github./csunny/DB-GPT/tree/new-page-"
 "framework/datacenter"
 
-#: ../../getting_started/install/deploy/deploy.md:120
-#: 3b825bc956a0406fb8464e51cfeb769e
-msgid "4. Multiple GPUs"
+#: ../../getting_started/install/deploy/deploy.md:123
+#: 573c0349bd2140e9bb356b53f1da6ee3
+#, fuzzy
+msgid "Multiple GPUs"
 msgstr "4. Multiple GPUs"
 
-#: ../../getting_started/install/deploy/deploy.md:122
-#: 568ea5e67ad745858870e66c42ba6833
+#: ../../getting_started/install/deploy/deploy.md:125
+#: af5d6a12ec954da19576decdf434df5d
 msgid ""
 "DB-GPT will use all available gpu by default. And you can modify the "
 "setting `CUDA_VISIBLE_DEVICES=0,1` in `.env` file to use the specific gpu"
 " IDs."
 msgstr "DB-GPT默认加载可利用的gpu，你也可以通过修改 在`.env`文件 `CUDA_VISIBLE_DEVICES=0,1`来指定gpu IDs"
 
-#: ../../getting_started/install/deploy/deploy.md:124
-#: c5b980733d7a4c8d997123ff5524a055
+#: ../../getting_started/install/deploy/deploy.md:127
+#: de96662007194418a2877cece51dc5cb
 msgid ""
 "Optionally, you can also specify the gpu ID to use before the starting "
 "command, as shown below:"
 msgstr "你也可以指定gpu ID启动"
 
-#: ../../getting_started/install/deploy/deploy.md:134
-#: 2a5d283a614644d1bb98bbe721aee8e1
+#: ../../getting_started/install/deploy/deploy.md:137
+#: 9cb0ff253fb2428dbaec97570e5c4fa4
 msgid ""
 "You can modify the setting `MAX_GPU_MEMORY=xxGib` in `.env` file to "
 "configure the maximum memory used by each GPU."
 msgstr "同时你可以通过在.env文件设置`MAX_GPU_MEMORY=xxGib`修改每个GPU的最大使用内存"
 
-#: ../../getting_started/install/deploy/deploy.md:136
-#: c29c956d3071455bb11694df721e6612
-msgid "5. Not Enough Memory"
+#: ../../getting_started/install/deploy/deploy.md:139
+#: c708ee0a321444dd91be00cda469976c
+#, fuzzy
+msgid "Not Enough Memory"
 msgstr "5. Not Enough Memory"
 
-#: ../../getting_started/install/deploy/deploy.md:138
-#: 0174e92fdbfa4af08063c89f6bbe3957
+#: ../../getting_started/install/deploy/deploy.md:141
+#: 760347ecf9a44d03a8e17cba153a2cc6
 msgid "DB-GPT supported 8-bit quantization and 4-bit quantization."
 msgstr "DB-GPT 支持 8-bit quantization 和 4-bit quantization."
 
-#: ../../getting_started/install/deploy/deploy.md:140
-#: 277f67fa08a541b3bd1fe77cdab39757
+#: ../../getting_started/install/deploy/deploy.md:143
+#: 32e3dc941bfe4d6587e8be262f8fb4d3
 msgid ""
 "You can modify the setting `QUANTIZE_8bit=True` or `QUANTIZE_4bit=True` "
 "in `.env` file to use quantization(8-bit quantization is enabled by "
 "default)."
 msgstr "你可以通过在.env文件设置`QUANTIZE_8bit=True` or `QUANTIZE_4bit=True`"
 
-#: ../../getting_started/install/deploy/deploy.md:142
-#: 00884fdf7c9a4f8c983ee52bfbb820aa
+#: ../../getting_started/install/deploy/deploy.md:145
+#: bdc9a3788149427bac9f3cf35578e206
 msgid ""
 "Llama-2-70b with 8-bit quantization can run with 80 GB of VRAM, and 4-bit"
 " quantization can run with 48 GB of VRAM."
@@ -407,8 +392,8 @@ msgstr ""
 "Llama-2-70b with 8-bit quantization 可以运行在 80 GB VRAM机器， 4-bit "
 "quantization 可以运行在 48 GB  VRAM"
 
-#: ../../getting_started/install/deploy/deploy.md:144
-#: a73698444bb4426ca779cc126497a2e0
+#: ../../getting_started/install/deploy/deploy.md:147
+#: 9b6085c41b5c4b96ac3e917dc5002fc2
 msgid ""
 "Note: you need to install the latest dependencies according to "
 "[requirements.txt](https://github.com/eosphoros-ai/DB-"
@@ -417,3 +402,42 @@ msgstr ""
 "注意，需要安装[requirements.txt](https://github.com/eosphoros-ai/DB-"
 "GPT/blob/main/requirements.txt)涉及的所有的依赖"
 
+#~ msgid ""
+#~ "Notice make sure you have install "
+#~ "git-lfs centos:yum install git-lfs "
+#~ "ubuntu:app-get install git-lfs "
+#~ "macos:brew install git-lfs"
+#~ msgstr ""
+#~ "注意下载模型之前确保git-lfs已经安ubuntu:app-get install "
+#~ "git-lfs macos:brew install git-lfs"
+
+#~ 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 ""
+#~ "你可以参考如何获取Vicuna weights文档[Vicuna](https://github.com/lm-"
+#~ "sys/FastChat/blob/main/README.md#model-weights) ."
+
+#~ 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 ""
+#~ "如果觉得模型太大你也可以下载vicuna-7b [this "
+#~ "link](https://huggingface.co/Tribbiani/vicuna-7b) "
+
+#~ msgid ""
+#~ "If you want to access an external"
+#~ " LLM service, you need to 1.set "
+#~ "the variables LLM_MODEL=YOUR_MODEL_NAME "
+#~ "MODEL_SERVER=YOUR_MODEL_SERVER（eg:http://localhost:5000） in "
+#~ "the .env file. 2.execute dbgpt_server.py "
+#~ "in light mode"
+#~ msgstr ""
+#~ "如果你想访问外部的大模型服务(是通过DB-"
+#~ "GPT/pilot/server/llmserver.py启动的模型服务)，1.需要在.env文件设置模型名和外部模型服务地址。2.使用light模式启动服务"
+
diff --git a/docs/locales/zh_CN/LC_MESSAGES/getting_started/install/llm/llama/llama_cpp.po b/docs/locales/zh_CN/LC_MESSAGES/getting_started/install/llm/llama/llama_cpp.po
new file mode 100644
index 000000000..d3c61cc54
--- /dev/null
+++ b/docs/locales/zh_CN/LC_MESSAGES/getting_started/install/llm/llama/llama_cpp.po
@@ -0,0 +1,322 @@
+# 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 👏👏 0.3.5\n"
+"Report-Msgid-Bugs-To: \n"
+"POT-Creation-Date: 2023-08-17 21:23+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/install/llm/llama/llama_cpp.md:1
+#: 911085eb102a47c1832411ada8b8b906
+msgid "llama.cpp"
+msgstr "llama.cpp"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md:3
+#: 8099fe03f2204c7f90968ae5c0cae117
+msgid ""
+"DB-GPT is now supported by [llama-cpp-python](https://github.com/abetlen"
+"/llama-cpp-python) through "
+"[llama.cpp](https://github.com/ggerganov/llama.cpp)."
+msgstr "DB-GPT is now supported by [llama-cpp-python](https://github.com/abetlen"
+"/llama-cpp-python) through "
+"[llama.cpp](https://github.com/ggerganov/llama.cpp)."
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md:5
+#: 79c33615ad6d44859b33ed0d05fdb1a5
+msgid "Running llama.cpp"
+msgstr "运行 llama.cpp"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md:7
+#: 3111bf827639484fb5e5f72a42b1b4e7
+msgid "Preparing Model Files"
+msgstr "准备模型文件"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md:9
+#: 823f04ec193946d080b203a19c4ed96f
+msgid ""
+"To use llama.cpp, you need to prepare a ggml format model file, and there"
+" are two common ways to obtain it, you can choose either:"
+msgstr "使用llama.cpp, 你需要准备ggml格式的文件，你可以通过以下两种方法获取"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md:11
+#: c631f3c1a1db429c801c24fa7799b2e1
+msgid "Download a pre-converted model file."
+msgstr "Download a pre-converted model file."
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md:13
+#: 1ac7d5845ca241519ec15236e9802af6
+msgid ""
+"Suppose you want to use [Vicuna 7B v1.5](https://huggingface.co/lmsys"
+"/vicuna-7b-v1.5), you can download the file already converted from "
+"[TheBloke/vicuna-7B-v1.5-GGML](https://huggingface.co/TheBloke/vicuna-"
+"7B-v1.5-GGML), only one file is needed. Download it to the `models` "
+"directory and rename it to `ggml-model-q4_0.bin`."
+msgstr "假设您想使用[Vicuna 7B v1.5](https://huggingface.co/lmsys"
+"/vicuna-7b-v1.5)您可以从[TheBloke/vicuna-7B-v1.5-GGML](https://huggingface.co/TheBloke/vicuna-"
+"7B-v1.5-GGML)下载已转换的文件，只需要一个文件。将其下载到models目录并将其重命名为ggml-model-q4_0.bin。"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md:19
+#: 65344fafdaa1469797592e454ebee7b5
+msgid "Convert It Yourself"
+msgstr "Convert It Yourself"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md:21
+#: 8da2bda172884c9fb2d64901d8b9178c
+msgid ""
+"You can convert the model file yourself according to the instructions in "
+"[llama.cpp#prepare-data--run](https://github.com/ggerganov/llama.cpp"
+"#prepare-data--run), and put the converted file in the models directory "
+"and rename it to `ggml-model-q4_0.bin`."
+msgstr "您可以根据[llama.cpp#prepare-data--run](https://github.com/ggerganov/llama.cpp"
+"#prepare-data--run)中的说明自己转换模型文件，然后将转换后的文件放入models目录中，并将其重命名为ggml-model-q4_0.bin。"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md:23
+#: d30986c0a84448ff89bc4bb84e3d0deb
+msgid "Installing Dependencies"
+msgstr "安装依赖"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md:25
+#: b91ca009587b45679c54f4dce07c2eb3
+msgid ""
+"llama.cpp is an optional dependency in DB-GPT, and you can manually "
+"install it using the following command:"
+msgstr "llama.cpp在DB-GPT中是可选安装项, 你可以通过一下命令进行安装"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md:31
+#: 2c89087ba2214d97bc01a286826042bc
+msgid "Modifying the Configuration File"
+msgstr "修改配置文件"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md:33
+#: e4ebd4dac0cd4fb4a8e3c1f6edde7ea8
+msgid "Next, you can directly modify your `.env` file to enable llama.cpp."
+msgstr "修改`.env`文件使用llama.cpp"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md:40
+#: 2fce7ec613784c8e96f19e9f4c4fb818
+msgid ""
+"Then you can run it according to [Run](https://db-"
+"gpt.readthedocs.io/en/latest/getting_started/install/deploy/deploy.html#run)."
+msgstr "然后你可以通过[Run](https://db-"
+"gpt.readthedocs.io/en/latest/getting_started/install/deploy/deploy.html#run).来运行"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md:43
+#: 9bbaa16512d2420aa368ba34825cc024
+msgid "More Configurations"
+msgstr "更多配置文件"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md:45
+#: 5ce014aa175d4a119150cf184098a0c3
+msgid ""
+"In DB-GPT, the model configuration can be done through  `{model "
+"name}_{config key}`."
+msgstr "In DB-GPT, the model configuration can be done through  `{model "
+"name}_{config key}`."
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md
+#: 09d1f9eaf6cc4267b1eb94e4a8e78ba9
+msgid "Environment Variable Key"
+msgstr "Environment Variable Key"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md
+#: 6650b3f2495e41588e23d8a2647e7ce3
+msgid "default"
+msgstr "default"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md
+#: 8f33e692a7fc41e1a42663535b95a08c
+msgid "Prompt Template Name"
+msgstr "Prompt Template Name"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md
+#: 2f8ca1f267694949a2b251d0ef576fd8
+msgid "llama_cpp_prompt_template"
+msgstr "llama_cpp_prompt_template"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md
+#: 9b6d310d3f3c454488f76062c8bcda67 c80abec11c3240cf9d0122543e9401c3
+#: ed439c9374d74543a8d2a4f88f4db958 f49b3e4281b14f1b8909cd13159d406a
+#: ffa824cc22a946ab851124b58cf7441a
+msgid "None"
+msgstr "None"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md
+#: f41bd292bcb9491096c39b36bceb3816
+msgid ""
+"Prompt template name, now support: `zero_shot, vicuna_v1.1, llama-2"
+",baichuan-chat`, If None, the prompt template is automatically determined"
+" from model path。"
+msgstr "Prompt template 现在可以支持`zero_shot, vicuna_v1.1, llama-2"
+",baichuan-chat`, 如果是None, the prompt template可以自动选择模型路径"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md
+#: 8125df74f1a7429eb0c5ce350edc9315
+msgid "llama_cpp_model_path"
+msgstr "llama_cpp_model_path"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md
+#: 28ad71d410fb4757821bf8cc1c232357
+msgid "Model path"
+msgstr "Model path"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md
+#: b7133f115d79477ab416dc63c64d8aa7
+msgid "llama_cpp_n_gpu_layers"
+msgstr "llama_cpp_n_gpu_layers"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md
+#: 7cdd27333a464ebeab6bf41bca709816
+msgid "1000000000"
+msgstr "1000000000"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md
+#: 667ec37bc6824eba999f39f4e6072999
+msgid "Number of layers to offload to the GPU, Set this to 1000000000 to offload"
+" all layers to the GPU. If your GPU VRAM is not enough, you can set a low"
+" number, eg: `10`"
+msgstr "要将层数转移到GPU上，将其设置为1000000000以将所有层转移到GPU上。如果您的GPU VRAM不足，可以设置较低的数字，例如：10。"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md
+#: edae6c77475d4958a96d59b4bd165916
+msgid "llama_cpp_n_threads"
+msgstr "llama_cpp_n_threads"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md
+#: 8fef1cdd4b0b42faadc717a58b9434a4
+msgid ""
+"Number of threads to use. If None, the number of threads is automatically"
+" determined"
+msgstr "要使用的线程数量。如果为None，则线程数量将自动确定。"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md
+#: ef5f27f600aa4eaf8080d6dca46ad434
+msgid "llama_cpp_n_batch"
+msgstr "llama_cpp_n_batch"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md
+#: be999101e5f84b83bde0d8e801083c52
+msgid "512"
+msgstr "512"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md
+#: cdc7a51c720a4fe38323eb7a1cfa6bd1
+msgid "Maximum number of prompt tokens to batch together when calling llama_eval"
+msgstr "在调用llama_eval时，批处理在一起的prompt tokens的最大数量。
+
+"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md
+#: 26d08360c2df4d018b2416cf8e4b3f48
+msgid "llama_cpp_n_gqa"
+msgstr "llama_cpp_n_gqa"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md
+#: 4d22c4f8e285445f9c26d181cf350cb7
+msgid "Grouped-query attention. Must be 8 for llama-2 70b."
+msgstr "对于llama-2 70b模型，Grouped-query attention必须为8。"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md
+#: 18e5e5ba6ac64e818546742458fb4c84
+msgid "llama_cpp_rms_norm_eps"
+msgstr "llama_cpp_rms_norm_eps"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md
+#: fc85743d71e1428fa2aa0423ff9d9170
+msgid "5e-06"
+msgstr "5e-06"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md
+#: bfc53bec0df94d9e8e9cc7d3333a69c1
+msgid "5e-6 is a good value for llama-2 models."
+msgstr "对于llama-2模型来说，5e-6是一个不错的值。"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md
+#: 81fc8f37787d48b0b1da826a2f887886
+msgid "llama_cpp_cache_capacity"
+msgstr "llama_cpp_cache_capacity"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md
+#: 125e3285249449cb90bbff063868d4d4
+msgid "Maximum cache capacity. Examples: 2000MiB, 2GiB"
+msgstr "cache capacity最大值. Examples: 2000MiB, 2GiB"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md
+#: 31ed49d49f574d4983738d91bed95fc9
+msgid "llama_cpp_prefer_cpu"
+msgstr "llama_cpp_prefer_cpu"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md
+#: b6ed0d5394874bb38c7468216b8bca88
+msgid "False"
+msgstr "False"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md
+#: d148d6b130454666a601b65b444c7e51
+msgid ""
+"If a GPU is available, it will be preferred by default, unless "
+"prefer_cpu=False is configured."
+msgstr "如果有可用的GPU，默认情况下会优先使用GPU，除非配置了prefer_cpu=False。"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md:59
+#: 75bd31d245b148569bcf9eca6c8bec9c
+msgid "GPU Acceleration"
+msgstr "GPU 加速"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md:61
+#: 1cf5538f9d39457e901f4120f76d54c1
+msgid ""
+"GPU acceleration is supported by default. If you encounter any issues, "
+"you can uninstall the dependent packages with the following command:"
+msgstr "默认情况下支持GPU加速。如果遇到任何问题，您可以使用以下命令卸载相关的依赖包"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md:66
+#: 08f8eea38e5e44fa80b528b75a379acf
+msgid ""
+"Then install `llama-cpp-python` according to the instructions in [llama-"
+"cpp-python](https://github.com/abetlen/llama-cpp-"
+"python/blob/main/README.md)."
+msgstr "然后通过指令[llama-"
+"cpp-python](https://github.com/abetlen/llama-cpp-"
+"python/blob/main/README.md).安装`llama-cpp-python`"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md:69
+#: abea5d4418c54657981640d6227b7be2
+msgid "Mac Usage"
+msgstr "Mac Usage"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md:71
+#: be9fb5ecbdd5495b98007decccbd0372
+msgid ""
+"Special attention, if you are using Apple Silicon (M1) Mac, it is highly "
+"recommended to install arm64 architecture python support, for example:"
+msgstr "特别注意：如果您正在使用苹果芯片（M1）的Mac电脑，强烈建议安装arm64架构的Python支持，例如："
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md:78
+#: efd6dfd4e9e24bf884803143e2b123f2
+msgid "Windows Usage"
+msgstr "Windows使用"
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md:80
+#: 27ecf054aa294a2eaed701c46edf27a7
+msgid ""
+"The use under the Windows platform has not been rigorously tested and "
+"verified, and you are welcome to use it. If you have any problems, you "
+"can create an [issue](https://github.com/eosphoros-ai/DB-GPT/issues) or "
+"[contact us](https://github.com/eosphoros-ai/DB-GPT/tree/main#contact-"
+"information) directly."
+msgstr "在Windows平台上的使用尚未经过严格的测试和验证，欢迎您使用。如果您有任何问题，可以创建一个[issue](https://github.com/eosphoros-ai/DB-GPT/issues)或者[contact us](https://github.com/eosphoros-ai/DB-GPT/tree/main#contact-"
+"information) directly."
+
diff --git a/pilot/configs/model_config.py b/pilot/configs/model_config.py
index 8602acd1a..0623cbe84 100644
--- a/pilot/configs/model_config.py
+++ b/pilot/configs/model_config.py
@@ -37,7 +37,7 @@ LLM_MODEL_CONFIG = {
     "vicuna-13b-v1.5": os.path.join(MODEL_PATH, "vicuna-13b-v1.5"),
     "vicuna-7b-v1.5": os.path.join(MODEL_PATH, "vicuna-7b-v1.5"),
     "text2vec": os.path.join(MODEL_PATH, "text2vec-large-chinese"),
-    #https://huggingface.co/moka-ai/m3e-large
+    # https://huggingface.co/moka-ai/m3e-large
     "m3e-base": os.path.join(MODEL_PATH, "m3e-base"),
     # https://huggingface.co/moka-ai/m3e-base
     "m3e-large": os.path.join(MODEL_PATH, "m3e-large"),