{"data":{"slug":"wpydcr-llm-kit","name":"LLM-Kit","tagline":"WebUI integrated platform for latest LLMs","github_url":"https://github.com/wpydcr/LLM-Kit","owner":"wpydcr","repo":"LLM-Kit","owner_avatar_url":"https://avatars.githubusercontent.com/u/20161570?v=4","primary_language":"Python","stars":554,"forks":62,"topics":["chatbot","embeddings","fine-tuning","generative-agents","llm","player"],"archived":false,"github_pushed_at":"2025-11-25T07:09:15+00:00","maintenance_label":"Slowing","stars_delta_30d":2,"url":"https://www.graphcanon.com/tools/wpydcr-llm-kit","markdown_url":"https://www.graphcanon.com/tools/wpydcr-llm-kit.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/wpydcr-llm-kit","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=wpydcr-llm-kit","description":"🚀WebUI integrated platform for latest LLMs | 各大语言模型的全流程工具 WebUI 整合包。支持主流大模型API接口和开源模型。支持知识库，数据库，角色扮演，mj文生图，LoRA和全参数微调，数据集制作，live2d等全流程应用工具","homepage_url":null,"license":"AGPL-3.0","open_issues":0,"watchers":13,"ai_summary":"A comprehensive toolkit for major language models including support for API interfaces of popular large models and open-source models, fine-tuning options like LoRA and full parameter tuning, dataset creation, knowledge bases, database integration, character扮演 (role-playing), and generative agents such as mj text-to-image generation","readme_excerpt":"# 苏秦（suqin） 语言大模型全工具链 WebUI 整合包\n\n[**English**](./README_EN.md) | [**中文**](https://github.com/wpydcr/LLM-Kit)\n\n## 介绍\n\n⛓️ 本项目目标是实现目前各大语言模型的全流程工具 WebUI 整合包。不用写代码即可拥有自己的定制模型与专属应用！\n\n具体功能模块如下：\n<p align=\"center\">\n  <img src=\"./img/modules.png\">\n</p>\n\n---\n## 开发部署\n\n初次使用建议查阅[说明文档](https://www.yuque.com/setpath/pkqy22?#)进行相关操作\n\n### 软件需求\n本项目已在 Python 3.8 - 3.10，CUDA 11.7/11.8 环境下完成测试。已在 Windows、Linux 系统中完成测试。\n\n### 安装环境\n\n#### 1. 运行环境\n\n```shell\n# 拉取仓库\n$ git clone https://github.com/wpydcr/LLM-Kit.git\n\n# 进入目录\n$ cd LLM-Kit\n\n# 安装依赖\n$ pip install -r requirements.txt\n```\n 依赖也可以直接下载：[Windows环境包](https://pan.baidu.com/s/1NVmXam5MGfSn3MkZlt0zQg?pwd=8ku6)， [Linux环境包](https://pan.baidu.com/s/1exSZYLSx0OWP5NXNwtZsCw?pwd=fhn0)。\n \n [显卡驱动](https://www.nvidia.cn/Download/index.aspx?lang=cn)和[cuda](https://developer.nvidia.com/cuda-toolkit-archive)自行安装\n\n#### 2. 执行脚本\n\n+ win环境，双击打开 web-demo-CN.bat 脚本\n+ Linux环境，双击打开 web-demo-CN.sh 脚本\n\n#### 3. 相关演示文件\n\n+ 体验大模型连接数据库功能请先下载[相关文件](https://pan.baidu.com/s/13EWleDUaqHY7JeyfY0ErDQ?pwd=bjnp)\n+ 体验角色扮演功能请先下载[相关文件](https://pan.baidu.com/s/13eWB-HMay7g9BSMIuZc8JQ?pwd=h9hq)\n+ 表情包功能请先下载[相关文件](https://pan.baidu.com/s/1W2Rwq6Ies4VRxY7wsgkNVQ?pwd=lxmm)放入data/apply/emotion文件夹中\n\n---\n\n## 文件目录\n\n- **env** ：集成包环境\n- **utils** ：工具代码\n- **modules** ：各模块代码\n  - **agent** ：agent相关代码\n    - **chatdb** : 数据库接入相关代码\n    - **svc** : svc相关代码\n    - **vits** : vits相关代码\n  - **apply** ：应用demo代码\n  - **model** ：模型相关代码\n- **data** ：数据文件\n  - **apply** ：应用demo相关文件\n    - **audio** ：生成的语音文件\n    - **emotion** ：表情包文件\n    - **play** ：人设提示词文件\n  - **documents** ：知识库数据文件\n  - **modeldata** ：模型训练数据文件\n    - **LLM** ：大模型训练数据文件\n    - **Embedding** ：嵌入模型训练数据文件\n- **ui** ：ui界面代码\n- **output** ：训练中的checkpoints\n- **models** ：模型文件\n  - **LLM** ：语言大模型文件\n  - **Embedding** ：嵌入模型文件\n  - **LoRA** ：LoRA模型文件\n  - **live2d_models** ：[live2d模型文件](https://www.live2d.com/en/download/sample-data/)\n  - **svc_models** ：svc相关文件\n    - **hubert_model** ：[声音编码器模型文件](https://github.com/bshall/hubert/releases/download/v0.1/hubert-soft-0d54a1f4.pt)\n    -  **svc** : svc模型文件\n  - **vits_pretrained_models** : [vits模型文件]((https://huggingface.co/spaces/zomehwh/vits-models/tree/main/pretrained_models))\n\n---\n\n## 发展路线图\n\n- [x] LLM API支持(无需显卡)\n  - [x] [openai(支持国内中转)](https://platform.openai.com/account/api-keys)\n  - [x] [azure openai](https://learn.microsoft.com/zh-cn/azure/cognitive-services/openai/)\n  - [x] [文心一言](https://cloud.baidu.com/survey_summit/qianfan.html)\n  - [x] [智谱GLM](https://open.bigmodel.cn/usercenter/apikeys)\n  - [x] [通义千问](https://help.aliyun.com/document_detail/2399480.html)\n  - [x] [讯飞星火](https://console.xfyun.cn/services/cbm)\n  - [x] [claude](https://www.anthropic.com/index/claude-2)\n  - [x] [aihubmix](https://aihubmix.com/)\n- [ ] LLM 模型支持(训练/推理)\n  - [x] [4bit与8bit量化（bitsandbytes仅支持linux）](https://github.com/TimDettmers/bitsandbytes)\n  - [x] [使用内存替代部分显存（deepspeed训练仅支持linux，推理在windows需编译）](https://github.com/microsoft/DeepSpeed)\n  - [x] [chatglm-6b](https://huggingface.co/THUDM/chatglm-6b)\n  - [x] [chatglm2-6b](https://huggingface.co/THUDM/chatglm2-6b)\n  - [x] [chatglm2-6b-32k](https://huggingface.co/THUDM/chatglm2-6b-32k)\n  - [x] [moss-moon-003-sft](https://huggingface.co/fnlp/moss-moon-003-sft)\n  - [x] [phoenix-chat-7b](https://huggingface.co/FreedomIntelligence/phoenix-chat-7b)\n  - [x] [Guanaco](https://huggingface.co/JosephusCheung/Guanaco)\n  - [x] [baichuan-vicuna-chinese-7b](https://huggingface.co/fireballoon/baichuan-vicuna-chinese-7b)\n  - [x] [Baichuan-13B-Chat](https://huggingface.co/baichuan-inc/Baichuan-13B-Chat)\n  - [x] [internlm-chat-7b-8k](https://huggingface.co/internlm/internlm-chat-7b-8k)\n  - [x] [chinese-alpaca-2-7b(llama2)](https://huggingface.co/ziqingyang/chinese-alpaca-2-7b)\n  - [x] [Qwen-7B-Chat](https://huggingface.co/Qwen/Qwen-7B-Chat)\n  - [x] [Qwen-14B-Chat](https://huggingface.co/Qwen/Qwen-14B-Chat)\n  - [x] [Baichuan2-7B-Chat](https://huggingface.co/baichuan-inc/Baichuan2-7B-Chat)  \n  - [x] [Baichuan2-13B-Chat](https://huggingface.co/baichuan-inc/Baichuan2-13B-Ch","github_created_at":"2023-07-22T06:52:49+00:00","created_at":"2026-07-11T11:40:57.01836+00:00","updated_at":"2026-09-20T06:31:13.521484+00:00","categories":[{"slug":"developer-tools","name":"Developer Tools","url":"https://www.graphcanon.com/categories/developer-tools","markdown_url":"https://www.graphcanon.com/categories/developer-tools.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/developer-tools"},{"slug":"evaluation-observability","name":"Evaluation & Observability","url":"https://www.graphcanon.com/categories/evaluation-observability","markdown_url":"https://www.graphcanon.com/categories/evaluation-observability.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/evaluation-observability"},{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"},{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"}],"tags":[{"slug":"chatbot","name":"chatbot"},{"slug":"embeddings","name":"embeddings"},{"slug":"fine-tuning","name":"fine-tuning"},{"slug":"generative-agents","name":"generative-agents"},{"slug":"llm","name":"llm"},{"slug":"player","name":"player"}],"trust":{"provenance":{"is_fork":false,"github_id":669402660,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-19T18:27:13.942Z","maintenance":{"label":"Slowing","score":36,"methodology":"github_public_v1","releases_90d":0,"days_since_push":298,"last_release_at":null,"stars_delta_30d":2,"open_issues_delta_30d":0},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:40:58.462Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-09-19T18:27:14.949Z"},"languages":{"value":["python"],"source":"github.language","observed_at":"2026-09-19T18:27:14.949Z"},"license_spdx":{"value":"AGPL-3.0","source":"github.license","observed_at":"2026-09-19T18:27:14.949Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["You need full parameter tuning alongside LoRA","Want integrated database and knowledge base capabilities","Require generative agents features, e.g., mj text-to-image generation"],"when_not_to_use":["Looking for proprietary or closed-source alternatives rather than AGPL-3.0 licensed options","Need a toolkit without WebUI interfaces; prefer CLI access only","Prioritize tools with live2d features over more traditional fine-tuning capabilities"],"source":"enrich:decision_facts","observed_at":"2026-07-12T18:41:32.433Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"LLM-Kit is a Python-based AGPL-3.0 licensed WebUI toolkit for major LLMs including API interfaces and fine-tuning options like LoRA."}]}}