a self-hosted webui for 30+ generative ai

Gradio based tool to run opensource LLM models directly from Huggingface

Information on optimizing python libraries specifically for oobabooga to take advantage of Apple Silicon and Accelerate Framework.

An open source, Gradio-based chatbot app that combines the best of retrieval augmented generation and prompt engineering into an intelligent assistant for modern professionals.

Local character AI chatbot with chroma vector store memory and some scripts to process documents for Chroma

AgentX is an Open-source library that help people use LLMs on their own computers or help them to serve LLMs as easy as possible that support multi-backends like PyTorch, llama.cpp, Ollama and EasyDeL

A quick and optimized solution to manage llama based gguf quantized models, download gguf files, retreive messege formatting, add more models from hf repos and more. It's super easy to use and comes prepacked with best preconfigured open source models: dolphin phi-2 2.7b, mistral 7b v0.2, mixtral 8x7b v0.1, solar 10.7b and zephyr 3b

Simple chat interface for local AI using llama-cpp-python and llama-cpp-agent

TAO71 I4.0 is an AI created by TAO71 in C# and Python.

YouTube API implementation with Meta's Llama 2 to analyze comments and sentiments

Experimental interface environment for open source LLM, designed to democratize the use of AI. Powered by llama-cpp, llama-cpp-python and Gradio.

Local gpt in llama.cpp models with chat interface

This is the repository for the UI for the SeKernel_for_LLM module

A Genshin Impact Question Answer Project supported by Qwen1.5-14B-Chat

Genshin Impact Character Chat Models tuned by Lora on LLM

llama-cpp-python(llama.cpp)で実行するGGUF形式のLLM用の簡易Webインタフェースです。

This is a Christian Apologetic chatbot prototype.

Mistral assisted visual instruction data generation by following LLaVA

Llama.cpp é uma biblioteca desenvolvida em C++ para a implementação eficiente de grandes modelos de linguagem, como o LLaMA da Meta. Otimizada para rodar em diversas plataformas, incluindo dispositivos com recursos limitados, oferece performance, velocidade de inferência e uso eficiente da memória, essenciais para a execução de grandes. modelos

A Gradio App for Retrieval-Augmented-Generation on PDFs