qwen

There are 435 repositories under qwen topic.

  • Tianji

    制作懂人情世故的大语言模型 | 涵盖提示词工程、RAG、Agent、LLM微调教程

    Language:Python1.5k
  • APIPark

    Cloud native, ultra-high performance AI&API gateway, LLM API management, distribution system, open platform, supporting all AI APIs.🦄云原生、超高性能 AI&API网关,LLM API 管理、分发系统、开放平台,支持所有AI API,不限于OpenAI、Azure、Anthropic Claude、Google Gemini、DeepSeek、字节豆包、ChatGLM、文心一言、讯飞星火、通义千问、360 智脑、腾讯混元等主流模型,统一 API 请求和返回,API申请与审批,调用统计、负载均衡、多模型灾备。一键部署,开箱即用。

    Language:TypeScript1.4k
  • Ovis

    A novel Multimodal Large Language Model (MLLM) architecture, designed to structurally align visual and textual embeddings.

    Language:Python1.3k
  • lemonade

    Lemonade helps users run local LLMs with the highest performance by configuring state-of-the-art inference engines for their NPUs and GPUs. Join our discord: https://discord.gg/5xXzkMu8Zk

    Language:Python1.3k
  • poe-api-wrapper

    👾 A Python API wrapper for Poe.com. With this, you will have free access to GPT-4, Claude, Llama, Gemini, Mistral and more! 🚀

    Language:Python1.1k
  • tuui

    tuui

    A desktop MCP client designed as a tool unitary utility integration, accelerating AI adoption through the Model Context Protocol (MCP) and enabling cross-vendor LLM API orchestration.

    Language:TypeScript1.1k
  • qwen-free-api

    🚀 阿里通义千问2.5大模型逆向API【特长:六边形战士】,支持高速流式输出、无水印AI绘图、长文档解读、图像解析、联网检索、多轮对话,零配置部署,多路token支持,自动清理会话痕迹,仅供测试,如需商用请前往官方开放平台。

    Language:TypeScript1k
  • sanic-web

    一个轻量级、支持全链路且易于二次开发的大模型应用项目(Large Model Data Assistant) 支持DeepSeek/Qwen3等大模型 基于 Dify 、LangChain/LangGraph、Ollama&Vllm、Sanic 和 Text2SQL 📊 等技术构建的一站式大模型应用开发项目,采用 Vue3、TypeScript 和 Vite 5 打造现代UI。它支持通过 ECharts 📈 实现基于大模型的数据图形化问答,具备处理 CSV 文件 📂 表格问答的能力。同时,能方便对接第三方开源 RAG 系统 检索系统 🌐等,以支持广泛的通用知识问答。

    Language:JavaScript1k
  • AI-Resources-Central

    Bringing together outstanding artificial intelligence (AI) open source projects from around the world.

  • web-llm-chat

    Chat with AI large language models running natively in your browser. Enjoy private, server-free, seamless AI conversations.

    Language:TypeScript839
  • ChatMLX

    🤖✨ChatMLX is a modern, open-source, high-performance chat application for MacOS based on large language models.

    Language:Swift807
  • RepoAgent

    An LLM-powered repository agent designed to assist developers and teams in generating documentation and understanding repositories quickly.

    Language:Python773
  • awesome-llm-and-aigc

    🚀🚀🚀A collection of some awesome public projects about Large Language Model(LLM), Vision Language Model(VLM), Vision Language Action(VLA), AI Generated Content(AIGC), the related Datasets and Applications.

  • Steel-LLM

    Train a 1B LLM with 1T tokens from scratch by personal

    Language:Jupyter Notebook734
  • MindChat

    🐋MindChat(漫谈)——心理大模型:漫谈人生路, 笑对风霜途

    Language:Python687
  • LLamaTuner

    Easy and Efficient Finetuning LLMs. (Supported LLama, LLama2, LLama3, Qwen, Baichuan, GLM , Falcon) 大模型高效量化训练+部署.

    Language:Python613
  • qwen.cpp

    C++ implementation of Qwen-LM

    Language:C++606
  • Awesome-LLM-Eval

    Awesome-LLM-Eval: a curated list of tools, datasets/benchmark, demos, leaderboard, papers, docs and models, mainly for Evaluation on LLMs. 一个由工具、基准/数据、演示、排行榜和大模型等组成的精选列表,主要面向基础大模型评测,旨在探求生成式AI的技术边界.

  • mLLMCelltype

    mLLMCelltype

    🏆 #1 Multi-LLM consensus framework | 550+ stars | 95% accuracy | 10+ LLM providers | Leading cell annotation tool

    Language:Python554
  • MPP-LLaVA

    Personal Project: MPP-Qwen14B & MPP-Qwen-Next(Multimodal Pipeline Parallel based on Qwen-LM). Support [video/image/multi-image] {sft/conversations}. Don't let the poverty limit your imagination! Train your own 8B/14B LLaVA-training-like MLLM on RTX3090/4090 24GB.

    Language:Jupyter Notebook472
  • rag-gpt

    RAG-GPT, leveraging LLM and RAG technology, learns from user-customized knowledge bases to provide contextually relevant answers for a wide range of queries, ensuring rapid and accurate information retrieval.

    Language:Python468
  • dingo

    Dingo: A Comprehensive AI Data Quality Evaluation Tool

    Language:JavaScript459
  • OmniThink

    [EMNLP 2025] OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking

    Language:Python457
  • qwen600

    Static suckless single batch CUDA-only qwen3-0.6B mini inference engine

    Language:Cuda440
  • chatgpt-vue3-light-mvp

    💭 一个可二次开发 Chat Bot 单轮对话 Web 端 MVP 原型模板, 基于 Vue 3, Vite7, TypeScript, Naive UI, Pinia(v3), UnoCSS 等主流技术构建, 🧤简单集成大模型 API, 采用单轮 AI 问答对话模式, 每次提问独立响应, 无需上下文, 支持 SSE 打字机效果流式输出, 集成 markdown-it Mermaid/KaTex/LaTex 公式高亮预览, 星火, 智谱, 硅基流动, Deepseek V3/R1 深度思考推理模型预览, 兼容 <think> 标签, 💼 易于定制和快速搭建 Chat 类大语言模型产品 (附示例截图)

    Language:TypeScript440
  • langgraph-up-react

    LangGraph template for a simple ReAct agent, with MCP tools support and robust test suites.

    Language:Python435
  • KuiperLLama

    校招、秋招、春招、实习好项目,带你从零动手实现支持LLama2/3和Qwen2.5的大模型推理框架。

    Language:C++424
  • openai-style-api

    支持将openai、claude、azure openai, gemini,kimi, 智谱AI,通义千问,讯飞星火API等模型服务方的调用转为openai方式调用。屏蔽不同大模型API的差异,统一用openai api标准格式使用大模型(Shield the differences between different large model APIs and use large models in a unified openai API standard format)

    Language:Python421
  • awesome-deep-reasoning

    Collect every awesome work about r1!

    Language:Python416
  • Firefly-LLaMA2-Chinese

    Firefly中文LLaMA-2大模型,支持增量预训练Baichuan2、Llama2、Llama、Falcon、Qwen、Baichuan、InternLM、Bloom等大模型

    Language:Python413
  • harvester

    Intelligent data acquisition framework for GitHub and web sources

    Language:Python412
  • llm.nvim

    A large language model (LLM) support for Neovim, provides commands to interact with LLM (like ChatGPT, ChatGLM, kimi, deepseek, openrouter and local llms). Support Github models.

    Language:Lua377
  • GraphGen

    GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation

    Language:Python347
  • chatluna

    多平台模型接入,可扩展,多种输出格式,提供大语言模型聊天服务的插件 | A bot plugin for LLM chat with multi-model integration, extensibility, and various output formats

    Language:TypeScript339
  • tamingLLMs

    Taming LLMs: A Practical Guide to LLM Pitfalls with Open Source Software

    Language:Jupyter Notebook322