Stars
Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc.
Recursive-Open-Meta-Agent v0.1 (Beta). A meta-agent framework to build high-performance multi-agent systems.
🦜🔗 The platform for reliable agents.
"AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework"
SGLang is a high-performance serving framework for large language models and multimodal models.
A complete computer science study plan to become a software engineer.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, le…
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
分享一些好用的 Dify DSL 工作流程,自用、学习两相宜。 Sharing some Dify workflows.
Qwen3 Fine-tuning: Medical R1 Style Chat
ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。
Production-ready platform for agentic workflow development.
Specification and documentation for the Model Context Protocol
A powerful tool for creating datasets for LLM fine-tuning 、RAG and Eval
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
The official MCP server implementation for the Perplexity API Platform
Model Context Protocol Servers
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
LLM based data scientist, AI native data application. AI-driven infinite thinking redefines BI.
Langchain-Chatchat(原Langchain-ChatGLM)基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and…
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3, Qwen3-MoE, DeepSeek-R1, GLM4.5, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Llava, …
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调(全参数/Lora)、部署国内外开源大模型(LLM)/多模态大模型(MLLM)教程
BELLE: Be Everyone's Large Language model Engine(开源中文对话大模型)
Code and documentation to train Stanford's Alpaca models, and generate the data.
