Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai/
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May 29, 2024 - Python
Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai/
🤖 The free, Open Source OpenAI alternative. Self-hosted, community-driven 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. It allows to generate Text, Audio, Video, Images. Also with voice cloning capabilities.
The platform for customizing AI from enterprise data
Unlock the potential of AI-driven solutions and delve into the world of Large Language Models. Explore cutting-edge concepts, real-world applications, and best practices to build powerful systems with these state-of-the-art models.
An image generator Discord bot written in Python. It has no GPU requirement! It can be easily deployed to your favorite vps for hosting.
Orchestrate Swarms of Agents From Any Framework Like OpenAI, Langchain, and Etc for Business Operation Automation. Join our Community: https://discord.gg/DbjBMJTSWD
DevoxxGenie is a plugin for IntelliJ IDEA that uses local LLM's (Ollama, LMStudio, GPT4All and Jan) and Cloud based LLMs to help review, test, explain your project code.
By utilizing GPT4All-CLI, developers can effortlessly tap into the power of GPT4All and LLaMa without delving into the library's intricacies. Simply install the CLI tool, and you're prepared to explore the fascinating world of large language models directly from your command line!
Steam achievement guide repo for those 100 % achievement perfectionists. Guide placeholders are generated by completely inaccurate AI
FastAPI Backend for a Conversational Agent using Aleph Alpha, (Azure) OpenAI, GPT4ALL, Langchain and a VectorDB
ChatGPT interface with better UI
Artificial Intelligence LLM experiments and quick intros using Ollama, GPT4All, OpenAI and HuggingFace models with LangChain and DeepLake vector store
Pytorch implementation of the models RT-1-X and RT-2-X from the paper: "Open X-Embodiment: Robotic Learning Datasets and RT-X Models"
Joplin (note-taking) assistant running a very intelligent system (OpenAI/GPT, Hugging Face, Gemini, Llama, Universal Sentence Encoder, etc.)
Implementation of Google's USM speech model in Pytorch
A TK based graphical user interface for gpt4all. It uses the python bindings. Run LLMs in a very slimmer environment and leave maximum resources for inference
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