Open Source Large Language Model (LLM) Tools

DeepSeek is a state-of-the-art AI assistant designed to provide intelligent, conversational support across diverse tasks. It leverages advanced natural language processing and machine learning to answer questions, generate creative content, solve complex problems, and offer...

An open-source AI chatbot for tasks like code writing, email drafting in a privacy-friendly, ad-free interface, often requiring no sign-up.

Facilitates local deployment of Llama 3, Code Llama, and other language models, enabling customization and offline AI development. Perfect for creating personalized AI chatbots and writing tools.

The Qwen team is dedicated to pursuing artificial general intelligence (AGI) and is focused on building generalist models, including large language models and large multimodal models.

Open-source offline AI chat software supporting local LLMs, cloud model connections, custom assistant creation, OpenAI-compatible API, and broad hardware support.

Private offline on-device local LLM app by Ente, open source code, no accounts or tracking, and works cross-platform on mobile and desktop devices.

Privacy-focused open-source chatbot running locally on consumer CPUs without GPU or internet, supporting multiple customizable large language models and licensing.

Extensible offline AI platform with user-friendly interface, LLM runner support, RAG inference, privacy focus, no registration, text-to-image, cloud sync, and dark mode.

Privacy-focused open-source chatbot enables unlimited document uploads, multi-user support, vector database integration, and intelligent chat from existing files.

Alpaca is an Ollama client where you can manage and chat with multiple models, Alpaca provides an easy and begginer friendly way of interacting with local AI.

LibreChat is a free, open source AI chat platform. This Web UI offers vast customization, supporting numerous AI providers, services, and integrations. Serves all AI Conversations in one place with a familiar interface, innovative enhancements, for as many users as you need.

Open-source cross-platform AI client offering model selection, on-prem deployment, enterprise features, security auditing, and control of data.

Fully private offline chatbot runs locally in browser, with no server or installation needed. Supports open source models like Llama 3 and Mistral for secure use.

As a fully open language model, Apertus allows researchers, professionals and enthusiasts to build upon the model and adapt it to their specific needs, as well as to inspect any part of the training process.

Mellum-4b-base is JetBrains' first open-source large language model (LLM) optimized for code-related tasks.

An Open Source AI Agent (think Claude CoWork) that help you to automates engineering tasks seamlessly with local execution, customization, and autonomy, empowering developers with an extensible open-source platform.

An app that brings language models directly to your phone.

The self-improving AI agent built by Nous Research. It's the only agent with a built-in learning loop — it creates skills from experience, improves them during use, nudges itself to persist knowledge, searches its own past conversations, and builds a deepening model of who...

A modern and easy-to-use client for Ollama.

Cherry Studio is a desktop client that supports for multiple LLM providers, available on Windows, Mac, and Linux.

As part of Meta’s commitment to open science, today we are publicly releasing Llama (Large Language Model Meta AI), a state-of-the-art foundational large language model designed to help researchers advance their work in this subfield of AI.

Z.ai is an AI-powered conversational platform developed by Zhipu AI, designed to provide intelligent, natural, and context-aware interactions. It leverages Zhipu’s advanced large language models (GLM series) to support tasks such as answering questions, generating content...

Open-source AI powered answer engine.

A family of lightweight, state-of-the art open models built from the same research and technology that we used to create the Gemini models.

Self-hosted AI interface enabling chat, autonomous agents, tool integration, email, and research with local data privacy—no telemetry or remote servers.