llm
@llm
No description available 🫠
ollama
139.6k
@ollama
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
dify
95.6k
@langgenius
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.
open-webui
93.3k
@open-webui
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
browser-use
59k
@browser-use
Make websites accessible for AI agents
MetaGPT
55.3k
@FoundationAgents
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
OpenHands
53.8k
@All-Hands-AI
🙌 OpenHands: Code Less, Make More
ragflow
51.1k
@infiniflow
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
llm-course
50k
@mlabonne
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
LLaMA-Factory
48.2k
@hiyouga
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
LLMs-from-scratch
47.7k
@rasbt
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
vllm
46.5k
@vllm-project
A high-throughput and memory-efficient inference and serving engine for LLMs
anything-llm
43.6k
@Mintplex-Labs
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
llama_index
41.4k
@run-llama
LlamaIndex is the leading framework for building LLM-powered agents over your data.
unsloth
38.1k
@unslothai
Finetune Qwen3, Llama 4, TTS, DeepSeek-R1 & Gemma 3 LLMs 2x faster with 70% less memory! 🦥
quivr
37.8k
@QuivrHQ
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.
firecrawl
37.5k
@mendableai
🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
Pake
37.4k
@tw93
🤱🏻 Turn any webpage into a desktop app with Rust. 🤱🏻 利用 Rust 轻松构建轻量级多端桌面应用
ray
36.9k
@ray-project
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
chatgpt-on-wechat
36.6k
@zhayujie
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GPT4.1/GPT-4o/GPT-o1/ DeepSeek/Claude/文心一言/讯飞星火/通义千问/ Gemini/GLM-4/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。
ChatTTS
36.1k
@2noise
A generative speech model for daily dialogue.