# 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 22:33+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"
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"MIME-Version: 1.0\n"
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"Generated-By: Babel 2.12.1\n"

#: ../../modules/llms.md:1 7737e31f5fcc4dc4be573a0bb73ca419
msgid "LLMs"
msgstr "大语言模型"

#: ../../modules/llms.md:3 8a8422f18e5d4c7aa1c1abf3a89f5d27
#, python-format
msgid ""
"In the underlying large model integration, we have designed an open "
"interface that supports integration with various large models. At the "
"same time, we have a very strict control and evaluation mechanism for the"
" effectiveness of the integrated models. In terms of accuracy, the "
"integrated models need to align with the capability of ChatGPT at a level"
" of 85% or higher. We use higher standards to select models, hoping to "
"save users the cumbersome testing and evaluation process in the process "
"of use."
msgstr "在底层大模型接入中，我们设计了开放的接口，支持对接多种大模型。同时对于接入模型的效果，我们有非常严格的把控与评审机制。对大模型能力上与ChatGPT对比，在准确率上需要满足85%以上的能力对齐。我们用更高的标准筛选模型，是期望在用户使用过程中，可以省去前面繁琐的测试评估环节。"

#: ../../modules/llms.md:5 c48ee3f4c51c49ae9dba40b1854dd483
msgid "Multi LLMs Usage"
msgstr "多模型使用"

#: ../../modules/llms.md:6 ad44cef629f64bf4a4d72431568149fe
msgid ""
"To use multiple models, modify the LLM_MODEL parameter in the .env "
"configuration file to switch between the models."
msgstr "如果要使用不同的模型，请修改.env配置文件中的LLM MODEL参数以在模型之间切换。"

#: ../../modules/llms.md:8 b08325fd36af4ef582c8a46685986aaf
msgid ""
"Notice: you can create .env file from .env.template, just use command "
"like this:"
msgstr "注意:你可以从 .env.template 创建 .env 文件。只需使用如下命令:"

#: ../../modules/llms.md:14 75ec45409dc84fd9bf3dfa98835d4645
msgid ""
"now we support models vicuna-13b, vicuna-7b, chatglm-6b, flan-t5-base, "
"guanaco-33b-merged, falcon-40b, gorilla-7b."
msgstr ""
"现在我们支持的模型有vicuna-13b, vicuna-7b, chatglm-6b, flan-t5-base, guanaco-33b-"
"merged, falcon-40b, gorilla-7b."

#: ../../modules/llms.md:16 a6e99cf291e049c99e2d6813d03b0427
msgid ""
"if you want use other model, such as chatglm-6b, you just need update "
".env config file."
msgstr "如果你想使用其他模型，比如chatglm-6b, 仅仅需要修改.env 配置文件"

#: ../../modules/llms.md:21 1b9a9aa83dc7420fb5c6c17c982abb20
msgid "Run Model with cpu."
msgstr "用CPU运行模型"

#: ../../modules/llms.md:22 e6bdeeca06764ed583154ddc78f0f26e
msgid ""
"we alse support smaller models, like gpt4all.  you can use it with "
"cpu/mps(M1/M2), Download from [gpt4all model](https://gpt4all.io/models"
"/ggml-gpt4all-j-v1.3-groovy.bin)"
msgstr "我们也支持一些小模型，你可以通过CPU/MPS(M1、M2)运行, 模型下载[gpt4all](https://gpt4all.io/models"
"/ggml-gpt4all-j-v1.3-groovy.bin)"

#: ../../modules/llms.md:24 da5b575421ef45e7ad0f56fac151948d
msgid "put it in the models path, then change .env config."
msgstr "将模型放在models路径, 修改.env 配置文件"

#: ../../modules/llms.md:29 03453d147e64404ab2c116faf0147b70
msgid ""
"DB-GPT provides a model load adapter and chat adapter. load adapter which"
" allows you to easily adapt load different LLM models by inheriting the "
"BaseLLMAdapter. You just implement match() and loader() method."
msgstr ""
"DB-GPT提供了多模型适配器load adapter和chat adapter.load adapter通过继承BaseLLMAdapter类,"
" 实现match和loader方法允许你适配不同的LLM."

#: ../../modules/llms.md:31 06b14da2931349859182473cd79abd68
msgid "vicuna llm load adapter"
msgstr "vicuna llm load adapter"

#: ../../modules/llms.md:48 fe7be51e9e2240c1882ef05f94a39d90
msgid "chatglm load adapter"
msgstr "chatglm load adapter"

#: ../../modules/llms.md:75 3535d4e0a0b946a49ed13710ae0ae5f3
msgid ""
"chat adapter which allows you to easily adapt chat different LLM models "
"by inheriting the BaseChatAdpter.you just implement match() and "
"get_generate_stream_func() method"
msgstr ""
"chat "
"adapter通过继承BaseChatAdpter允许你通过实现match和get_generate_stream_func方法允许你适配不同的LLM."

#: ../../modules/llms.md:77 b8dba90d769d45f090086fa044f22a96
msgid "vicuna llm chat adapter"
msgstr "vicuna llm chat adapter"

#: ../../modules/llms.md:89 f1d6e8145f704b5bbd1c49224c1e30f9
msgid "chatglm llm chat adapter"
msgstr "chatglm llm chat adapter"

#: ../../modules/llms.md:102 295e498cec384d9589431b1d5942f590
msgid ""
"if you want to integrate your own model, just need to inheriting "
"BaseLLMAdaper and BaseChatAdpter and implement the methods"
msgstr "如果你想集成自己的模型，只需要继承BaseLLMAdaper和BaseChatAdpter类，然后实现里面的方法即可"

#: ../../modules/llms.md:104 07dd4757b06440fe8e9959446ff05892
#, fuzzy
msgid "Multi Proxy LLMs"
msgstr "多模型使用"

#: ../../modules/llms.md:105 1b9fc9ce08b94f6493f4b6ce51878fe2
msgid "1. Openai proxy"
msgstr ""

#: ../../modules/llms.md:106 64e44b3c7c254034a1f72d2e362f4c4d
msgid ""
"If you haven't deployed a private infrastructure for a large model, or if"
" you want to use DB-GPT in a low-cost and high-efficiency way, you can "
"also use OpenAI's large model as your underlying model."
msgstr ""

#: ../../modules/llms.md:108 bca7d8118cd546ca8160400fe729be89
msgid ""
"If your environment deploying DB-GPT has access to OpenAI, then modify "
"the .env configuration file as below will work."
msgstr ""

#: ../../modules/llms.md:116 7b84ddb937954787b4c8422f743afeda
msgid ""
"If you can't access OpenAI locally but have an OpenAI proxy service, you "
"can configure as follows."
msgstr ""

#~ msgid "Multi Proxy LLMs"
#~ msgstr "多模型使用"

#~ msgid "1. Openai proxy"
#~ msgstr "Openai代理"

#~ msgid ""
#~ "If you haven't deployed a private "
#~ "infrastructure for a large model, or "
#~ "if you want to use DB-GPT in"
#~ " a low-cost and high-efficiency "
#~ "way, you can also use OpenAI's "
#~ "large model as your underlying model."
#~ msgstr "如果你没有部署私有大模型的资源，或者你想使用低成本启动DB-GPT,你可以使用openai的大模型作为你的底层模型"

#~ msgid ""
#~ "If your environment deploying DB-GPT "
#~ "has access to OpenAI, then modify "
#~ "the .env configuration file as below "
#~ "will work."
#~ msgstr "如果你的环境能够访问openai，你只需要参考如下修改.env配置文件即可"

#~ msgid ""
#~ "If you can't access OpenAI locally "
#~ "but have an OpenAI proxy service, "
#~ "you can configure as follows."
#~ msgstr "如果你本地无法访问openai，但是你有一个openai的代理服务，你可以参考如下配置"

