llm

There are 12339 repositories under llm topic.

  • ollama/ollama

    Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.

    Language:Go101k5945.1k8.1k
  • dify

    langgenius/dify

    Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.

    Language:TypeScript54k3795.1k7.9k
  • open-webui/open-webui

    User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

    Language:Svelte50k2412.9k6.1k
  • geekan/MetaGPT

    🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

    Language:Python45.7k9017075.4k
  • mlabonne/llm-course

    Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

    Language:Jupyter Notebook39.8k413684.2k
  • All-Hands-AI/OpenHands

    🙌 OpenHands: Code Less, Make More

    Language:Python38k3161.8k4.3k
  • run-llama/llama_index

    LlamaIndex is a data framework for your LLM applications

    Language:Python37.2k2435.6k5.3k
  • quivr

    QuivrHQ/quivr

    Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: PGVector, Faiss. Any Files. Anyway you want.

    Language:Python36.8k2841.5k3.6k
  • LLaMA-Factory

    hiyouga/LLaMA-Factory

    Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

    Language:Python35.6k2135.4k4.4k
  • LLMs-from-scratch

    rasbt/LLMs-from-scratch

    Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

    Language:Jupyter Notebook34.6k3731074.3k
  • 2noise/ChatTTS

    A generative speech model for daily dialogue.

    Language:Python32.8k1885693.6k
  • chatchat-space/Langchain-Chatchat

    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 Llama) RAG and Agent app with langchain

    Language:TypeScript32.3k2843.9k5.6k
  • zhayujie/chatgpt-on-wechat

    基于大模型搭建的聊天机器人,同时支持 微信公众号、企业微信应用、飞书、钉钉 等接入,可选择GPT3.5/GPT-4o/GPT-o1/ Claude/文心一言/讯飞星火/通义千问/ Gemini/GLM-4/Claude/Kimi/LinkAI,能处理文本、语音和图片,访问操作系统和互联网,支持基于自有知识库进行定制企业智能客服。

    Language:Python31.7k2401.8k8.2k
  • vllm-project/vllm

    A high-throughput and memory-efficient inference and serving engine for LLMs

    Language:Python31.4k2525.5k4.8k
  • milvus

    milvus-io/milvus

    A cloud-native vector database, storage for next generation AI applications

    Language:Go31.2k28412.3k3k
  • JushBJJ/Mr.-Ranedeer-AI-Tutor

    A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.

  • anything-llm

    Mintplex-Labs/anything-llm

    The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, and more.

    Language:JavaScript28.1k2181.8k2.9k
  • mindsdb/mindsdb

    Platform for building AI that can learn and answer questions over federated data.

    Language:Python26.9k3984.1k4.9k
  • LocalAI

    mudler/LocalAI

    :robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. Features: Generate Text, Audio, Video, Images, Voice Cloning, Distributed, P2P inference

    Language:Go26.8k1898912k
  • infiniflow/ragflow

    RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

    Language:Python24.8k1391.8k2.4k
  • mem0ai/mem0

    The Memory layer for your AI apps

    Language:Python23.2k1306872.1k
  • semantic-kernel

    microsoft/semantic-kernel

    Integrate cutting-edge LLM technology quickly and easily into your apps

    Language:C#22.2k2743.4k3.3k
  • flipped-aurora/gin-vue-admin

    🚀Vite+Vue3+Gin拥有AI辅助的基础开发平台,支持TS和JS混用。它集成了JWT鉴权、权限管理、动态路由、显隐可控组件、分页封装、多点登录拦截、资源权限、上传下载、代码生成器、表单生成器和可配置的导入导出等开发必备功能。

    Language:Go21.8k2947866.4k
  • microsoft/unilm

    Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

    Language:Python20.3k3071.4k2.6k
  • microsoft/graphrag

    A modular graph-based Retrieval-Augmented Generation (RAG) system

    Language:Python20.2k1425392k
  • davideuler/architecture.of.internet-product

    互联网公司技术架构,微信/淘宝/微博/腾讯/阿里/美团点评/百度/OpenAI/Google/Facebook/Amazon/eBay的架构,欢迎PR补充

    Language:HTML20.1k1.3k114.7k
  • continuedev/continue

    ⏩ Continue is the leading open-source AI code assistant. You can connect any models and any context to build custom autocomplete and chat experiences inside VS Code and JetBrains

    Language:TypeScript19.8k981.8k1.8k
  • mendableai/firecrawl

    🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.

    Language:TypeScript19.4k1084031.5k
  • mlc-ai/mlc-llm

    Universal LLM Deployment Engine with ML Compilation

    Language:Python19.3k1761.4k1.6k
  • unsloth

    unslothai/unsloth

    Finetune Llama 3.2, Mistral, Phi, Qwen 2.5 & Gemma LLMs 2-5x faster with 80% less memory

    Language:Python18.9k1271.1k1.3k
  • labring/FastGPT

    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, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration.

    Language:TypeScript18.8k1182.1k5k
  • Chinese-LLaMA-Alpaca

    ymcui/Chinese-LLaMA-Alpaca

    中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

    Language:Python18.5k1857311.9k
  • haystack

    deepset-ai/haystack

    AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

    Language:Python18k1453.6k1.9k
  • khoj

    khoj-ai/khoj

    Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (e.g gpt, claude, gemini, llama, qwen, mistral).

    Language:Python16.8k85456820
  • huggingface/peft

    🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

    Language:Python16.6k1101.1k1.6k
  • HqWu-HITCS/Awesome-Chinese-LLM

    整理开源的中文大语言模型,以规模较小、可私有化部署、训练成本较低的模型为主,包括底座模型,垂直领域微调及应用,数据集与教程等。