Popular GitHub Repositories for Ctransformers

Python bindings for the Transformer models implemented in C/C++ using GGML library.

Chat with your documents offline using AI.

Run inference on MPT-30B using CPU

Run inference on replit-3B code instruct model using CPU

Medical RAG QA App using Meditron 7B LLM, Qdrant Vector Database, and PubMedBERT Embedding Model.

Your offline AI pair programmer for VSCode on Windows.

A Healthcare System Integrating Azure-Powered Machine Learning, Deep Learning Models for Disease Detection, and a Conversational AI Chatbot

Text2ImageDescription retrieves relevant images from Pascal VOC 2012 dataset using OpenAI CLIP, based on text queries, and generates descriptions using quantized Mistral-7b model.

Budget Buddy is a finance chatbot built using Chainlit and the LLaMA language model. It analyzes PDF documents, such as bank statements and budget reports, to provide personalized financial advice and insights. The chatbot is integrated with Hugging Face for model management, offering an interactive way to manage personal finances.

A repository for training transformer based models

A package for processing documents and generating questions and answers using LLMs on GPU and CPU.

This chat bot answers all your questions regarding menstruation ( hormonal changes , phases of menstruation and many more)

A lightweight interactive AI app built with Chainlit and powered by the Mistral 7B language model. Designed for flexible experimentation and rapid prototyping.

A lightweight interactive AI app built with Chainlit and powered by the Mistral 7B language model. Designed for flexible experimentation and rapid prototyping.

A package for processing documents and generating questions and answers using LLMs on CPU.

A minimalist Docker project to help people getting started with Node, CTransformers, Express and TypeScript. Ready to be used in a Hugging Face Space.

In this project we hosted LLAMA model with 7B parameter for response generation. Here we created a rest api which can generate a response when provided a query text.

This Streamlit app uses an advanced language model to help you generate content. Just tell it your topic, word count, and job profile, and voila! Your blog post is ready.

Python?? ????? Langchain, Streamlit, CTransformers? ???? llama2 ??? ??? ???? ??? ?????

Simple RAG; query PDFs