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

RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.

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

Your offline AI pair programmer for VSCode on Windows.

The Medical Chatbot, built with Flask, integrates NLP libraries like Langchain and Hugging Face Transformers for text processing and embedding generation. Utilizing Pinecone as a vector database, it efficiently stores and retrieves data, offering users an interactive platform for medical inquiries.

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

A repository for training transformer based models

Write Wiz - Blog Generator 📝 Generate captivating blogs effortlessly with Write Wiz! Write Wiz is powered by the LLama 2 model.

Working on LLMs

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

solo connector core built on ctransformers

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.

A Discord bot that uses the ctransformers library for message inference

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

The MediNova AI is a powerful tool designed to provide medical information by answering user queries using state-of-the-art language models and vector stores.

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.