<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[wade1010的专栏]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/wade1010</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; wade1010]]></copyright><item><title><![CDATA[搭建GraphRAG-Local-UI练习]]></title><link>https://blog.youkuaiyun.com/wade1010/article/details/142375022</link><guid>https://blog.youkuaiyun.com/wade1010/article/details/142375022</guid><author>wade1010</author><pubDate>Fri, 20 Sep 2024 09:12:55 +0800</pubDate><description><![CDATA[vim requirements.txt  这里源码里面是没有指定版本的，我试过，但是没运行成功，由于成功之前也做了重新构建indexing目录，不确定是不是都需要改（有兴趣的测试可以确定下）后面可以修改下indexing目录下面的.env文件的配置，后期刷新页面，显示的模型就是我们想要的，要不然刷新下，就会默认设置为.env里面的模型。源码里面是有indexing目录的，我这里重新生成一遍（反正这么折腾后，是跑起来了）解决方法（2024-9-6 20:46:46有这个问题，预计后面会解决的那么白，）]]></description><category></category></item><item><title><![CDATA[graphrag-ui安装使用]]></title><link>https://blog.youkuaiyun.com/wade1010/article/details/142374956</link><guid>https://blog.youkuaiyun.com/wade1010/article/details/142374956</guid><author>wade1010</author><pubDate>Fri, 20 Sep 2024 09:10:08 +0800</pubDate><description><![CDATA[项目地址： https://github.com/wade1010/graphrag-uiGraphRAG-UI 是的用户友好界面,GraphRAG 是一个强大的工具,可使用检索增强生成(RAG)方法对大量文本数据进行索引和查询。本项目支持最新版graphrag，旨在为 GraphRAG 提供方便的管理和交互方式,支持配置 ollama 等本地大模型服务,使其更容易为广大用户所使用。]]></description><category></category></item><item><title><![CDATA[Linux Ubuntu设置ollama保存模型的路径和设置监听端口]]></title><link>https://blog.youkuaiyun.com/wade1010/article/details/142351789</link><guid>https://blog.youkuaiyun.com/wade1010/article/details/142351789</guid><author>wade1010</author><pubDate>Thu, 19 Sep 2024 09:43:01 +0800</pubDate><description><![CDATA[下载模型之前可以修改下模型默认保存路径。]]></description><category></category></item><item><title><![CDATA[GraphragTest搭建及使用本地大模型练手]]></title><link>https://blog.youkuaiyun.com/wade1010/article/details/142351733</link><guid>https://blog.youkuaiyun.com/wade1010/article/details/142351733</guid><author>wade1010</author><pubDate>Thu, 19 Sep 2024 09:41:32 +0800</pubDate><description><![CDATA[这里使用ollama启动本地大模型，然后graphrag使用本地大模型作为底座。]]></description><category></category></item><item><title><![CDATA[GraphRAG4OpenWebUI搭建]]></title><link>https://blog.youkuaiyun.com/wade1010/article/details/142324891</link><guid>https://blog.youkuaiyun.com/wade1010/article/details/142324891</guid><author>wade1010</author><pubDate>Wed, 18 Sep 2024 09:36:29 +0800</pubDate><description><![CDATA[上面的左边红色框，好像不能填127.0.0.1和localhost，报网络错误，不知道是open-webui还是GraphRAG4OpenWebUI的问题，不去细究。填自己IP就行，记得端口号防火墙开放。后来测试了一把使用非本地的大模型，上面的文本，4个文本，4章节西游记的txt，跑一次，就把我积分耗完了。然后传入一个1.txt（自己找一个txt）的文本到ragtest/input目录下。prompt_tune 由于我找到的中文的，要执行下面命令。下面的再问一个问题进行对比，local回答的是原文。]]></description><category></category></item><item><title><![CDATA[快速安装flash-attn]]></title><link>https://blog.youkuaiyun.com/wade1010/article/details/142324796</link><guid>https://blog.youkuaiyun.com/wade1010/article/details/142324796</guid><author>wade1010</author><pubDate>Wed, 18 Sep 2024 09:34:07 +0800</pubDate><description><![CDATA[不安装ninja，MAX_JOBS不起作用。MAX_JOBS根据自己硬件配置来设置。如果pip安装很慢，可以试试这个方法。经过10分钟不到，编译成功。]]></description><category></category></item><item><title><![CDATA[SFT数据构建时间]]></title><link>https://blog.youkuaiyun.com/wade1010/article/details/142248386</link><guid>https://blog.youkuaiyun.com/wade1010/article/details/142248386</guid><author>wade1010</author><pubDate>Sat, 14 Sep 2024 09:21:28 +0800</pubDate><description><![CDATA[然后在另外一台节点上启动多进程处理32万条原始数据，32万条数据平均分配到24个节点，然后构造prompt，让Qwen产生QA问答对。24台服务器，每台服务器配置一张40G显存的A100。耗时估算，大概每次请求耗时，平均下来10秒。]]></description><category></category></item><item><title><![CDATA[Llama3-Chinese-8B-Instruct实操练手]]></title><link>https://blog.youkuaiyun.com/wade1010/article/details/142246235</link><guid>https://blog.youkuaiyun.com/wade1010/article/details/142246235</guid><author>wade1010</author><pubDate>Sat, 14 Sep 2024 09:20:41 +0800</pubDate><description><![CDATA[2024-7-15 22:34:02系统环境：conda create -n llamafactory python=3.10
看下当前版本vim download_model.py
local_dir 设置为自己本地地址创建一个名为 quick_start.py 的文件，并将以下内容复制到该文件中。  模型替换为上面自己本地地址
运行 quick_start.py 代码。
报错如下解决
上面的安装很慢，参考快速安装flash-attn再次运行 quick_start.py,还是有不对解决
启动就能正常显示]]></description><category></category></item><item><title><![CDATA[docker搭建dify实操、使用]]></title><link>https://blog.youkuaiyun.com/wade1010/article/details/141573513</link><guid>https://blog.youkuaiyun.com/wade1010/article/details/141573513</guid><author>wade1010</author><pubDate>Mon, 26 Aug 2024 21:16:59 +0800</pubDate><description><![CDATA[操作日期：2024-8-26 linux操作系统  dify最新版本0.7.1。]]></description><category></category></item><item><title><![CDATA[Langchain-Chatchat 本地源代码部署 二次开发]]></title><link>https://blog.youkuaiyun.com/wade1010/article/details/141356943</link><guid>https://blog.youkuaiyun.com/wade1010/article/details/141356943</guid><author>wade1010</author><pubDate>Tue, 20 Aug 2024 14:07:42 +0800</pubDate><description><![CDATA[langchain-chatchat]]></description><category></category></item><item><title><![CDATA[搭建DeepSeek-V2-Lite-Chat]]></title><link>https://blog.youkuaiyun.com/wade1010/article/details/141323412</link><guid>https://blog.youkuaiyun.com/wade1010/article/details/141323412</guid><author>wade1010</author><pubDate>Mon, 19 Aug 2024 13:46:56 +0800</pubDate><description><![CDATA[纯简单记录。]]></description><category></category></item><item><title><![CDATA[信息检索和文本生成相关学习]]></title><link>https://blog.youkuaiyun.com/wade1010/article/details/140931467</link><guid>https://blog.youkuaiyun.com/wade1010/article/details/140931467</guid><author>wade1010</author><pubDate>Mon, 05 Aug 2024 16:59:09 +0800</pubDate><description><![CDATA[简单的方法生成质量比较低提供比Greedy decoding更好的质量如果beam size过高，会返回跟输入无关的输出(例如，通用、短)获得更多的多样性和随机性对开放/有创造力的一代人有好处(诗歌、故事)Top-n/p/温度采样允许控制多样性。]]></description><category></category></item><item><title><![CDATA[BMTrain类Megatron+DeepSpeed原理学习]]></title><link>https://blog.youkuaiyun.com/wade1010/article/details/140924798</link><guid>https://blog.youkuaiyun.com/wade1010/article/details/140924798</guid><author>wade1010</author><pubDate>Mon, 05 Aug 2024 13:41:51 +0800</pubDate><description><![CDATA[这一章节虽然是BMTrain，不是目前常用的Megatron+DeepSpeed，但是对于了解原理，也是很有帮助。]]></description><category></category></item><item><title><![CDATA[2024-8-1搭建langchain-chatchat使用向量模型和oneapi]]></title><link>https://blog.youkuaiyun.com/wade1010/article/details/140864901</link><guid>https://blog.youkuaiyun.com/wade1010/article/details/140864901</guid><author>wade1010</author><pubDate>Fri, 02 Aug 2024 10:00:34 +0800</pubDate><description><![CDATA[大部分参考官方教程下面是docker-composer.yaml文件，我修改了本地映射的目录。本地目录我都提前建好了。根据教程执行到 第五步 5. 启动 chatchat & xinference 服务  发现又报错解决如下（写教程的人，估计由于是已经部署好过一次，所以不记得先后顺序了）6.检查服务启动情况version如上, 服务均已正常启动, 即可体验使用.]]></description><category></category></item><item><title><![CDATA[1分钟解决Docker镜像拉取失败]]></title><link>https://blog.youkuaiyun.com/wade1010/article/details/140847577</link><guid>https://blog.youkuaiyun.com/wade1010/article/details/140847577</guid><author>wade1010</author><pubDate>Thu, 01 Aug 2024 14:45:55 +0800</pubDate><description><![CDATA[猜测可能是对抗的原因,无法连接到国外服务器.2024-8-1 14:44:28可以下载。]]></description><category></category></item><item><title><![CDATA[有道云笔记迁移导出为markdown,后端使用PicGo,PicList]]></title><link>https://blog.youkuaiyun.com/wade1010/article/details/140508131</link><guid>https://blog.youkuaiyun.com/wade1010/article/details/140508131</guid><author>wade1010</author><pubDate>Wed, 17 Jul 2024 23:16:04 +0800</pubDate><description><![CDATA[即可实现有道云笔记导出，并把里面的图片传到PicList，最终的markdown文档，复制到任意平台都能直接完美展示。然后在 config.json里面配置上我们搭建的PicList。使用我自己二次开发的项目。下面是运行的部分截图。]]></description><category></category></item><item><title><![CDATA[windows,安卓等多终端用obsidian配置linux的piclist笔记多端免费同步]]></title><link>https://blog.youkuaiyun.com/wade1010/article/details/140508012</link><guid>https://blog.youkuaiyun.com/wade1010/article/details/140508012</guid><author>wade1010</author><pubDate>Wed, 17 Jul 2024 23:10:45 +0800</pubDate><description><![CDATA[piclist官方文档piclist是picgo的二次开发产物，截至目前位置，功能更强大。图片能在obsidian里面直接粘贴，自动上传到piclsit，根据返回的url转换为markdown形式，最终的markdown随便复制到任意平台都能完美显示。]]></description><category></category></item><item><title><![CDATA[linux(ubuntu20.04)+PicGo(gui版)+github+typora搭建笔记]]></title><link>https://blog.youkuaiyun.com/wade1010/article/details/140507025</link><guid>https://blog.youkuaiyun.com/wade1010/article/details/140507025</guid><author>wade1010</author><pubDate>Wed, 17 Jul 2024 22:51:21 +0800</pubDate><description><![CDATA[写在开头，这是我最开始折腾的笔记，个人感觉这一套不好用，后面还折腾了一系列，感觉好用。]]></description><category></category></item><item><title><![CDATA[3-2交易相关问题]]></title><link>https://blog.youkuaiyun.com/wade1010/article/details/134474678</link><guid>https://blog.youkuaiyun.com/wade1010/article/details/134474678</guid><author>wade1010</author><pubDate>Sat, 18 Nov 2023 09:57:23 +0800</pubDate><description><![CDATA[]]></description><category></category></item><item><title><![CDATA[2-2区块链的本质及特性]]></title><link>https://blog.youkuaiyun.com/wade1010/article/details/134474497</link><guid>https://blog.youkuaiyun.com/wade1010/article/details/134474497</guid><author>wade1010</author><pubDate>Sat, 18 Nov 2023 09:43:23 +0800</pubDate><description><![CDATA[]]></description><category></category></item></channel></rss>