Stars
📋 A list of open LLMs available for commercial use.
Inference code and configs for the ReplitLM model family
OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset
Making large AI models cheaper, faster and more accessible
Stable Diffusion web UI UX
Instruct-tune LLaMA on consumer hardware
An LLM playground you can run on your laptop
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of …
the AI-native open-source embedding database
🦜🔗 Build context-aware reasoning applications
A Gradio web UI for Large Language Models.
Resource list for generating JSON using LLMs via function calling, tools, CFG. Libraries, Models, Notebooks, etc.
Turbopilot is an open source large-language-model based code completion engine that runs locally on CPU
The simplest way to run LLaMA on your local machine
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Alpaca dataset from Stanford, cleaned and curated
FauxPilot - an open-source alternative to GitHub Copilot server
GPT4 & LangChain Chatbot for large PDF docs
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference,…
Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.
Optimized Stable Diffusion modified to run on lower GPU VRAM
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
The simplest, fastest repository for training/finetuning medium-sized GPTs.
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
Self-hosted bookmark manager that is designed be to be minimal, fast, and easy to set up using Docker.
For code etc relating to the network training process.