Finetune Llama 3.3, Mistral, Phi-4, Qwen 2.5 & Gemma LLMs 2-5x faster with 70% less memory

Make Llama 3.1 8B talk in Rick Sanchez’s style

PTIT's Major Project: Website Programming - This repo contains a chatbot for a clothing store. The chatbot acts as an employee with specific knowledge about clothing consultation, website support, and store information.

Materials for CSE Summer School Hackathon 2024

🎋🌿🌟 Instruction Fine-Tuning of Meta Llama 3.2-3B Instruct on Kannada Conversations 🌟🌿🎋 Tailoring the model to follow specific instructions in Kannada, enhancing its ability to generate relevant, context-aware responses based on conversational inputs. 🚀✨ Using the Kannada Instruct dataset for fine-tuning! Happy Finetuning🎇🎉

Cloning Yourself using your whatsapp chat history and training a model on it.

AstorAI is a user-friendly medical chatbot powered by Retrieval-Augmented Generation (RAG) and the advanced LLama 3 model. It offers real-time, accurate responses to a wide range of medical queries, ensuring privacy and security in every interaction. Designed for ease of use, AstorAI provides reliable health information on various topics 24/7.

🤖 AI of Pwo fine tuned on Llama-3.1-8B Instruct

Fine-tuning Llama3 8b to generate JSON formats for arithmetic questions and process the output to perform calculations.

Fine-tuning Llama 3.2 3B Instruct model for text generation using Unsloth AI

we finetune unsloth llama model to extract mathematical fomulas in the images with optical character recognition(OCR)

This repo offers scripts for fine-tuning LLaMA 3.1 models with QLoRA, running inference, and export models. It’s based on my experience building a custom chatbot, and I’m sharing it to help others fine-tune and deploy LLMs on consumer hardware with ease! 😊

In this we finetune Llama-3.2-3B-Instruct model for text generation using unsloth

In this we fine tune Llama-3.2-11B-Vision-Instruct model on unsloth/Radiology_mini dataset for Image captioning generation

Finetuning of Gemma-2 2B for structured output

This project demonstrates how to setup a complete Retrieval Augmented Generation (RAG) pipeline on medical data using Llama-3-8B model

ResurrectAI is an AI-driven chat application designed to bring the wisdom and knowledge of great historical personalities to life. Leveraging advanced language models and fine-tuning techniques, ResurrectAI enables users to interact with AI avatars of iconic figures, gaining access to their insights, guidance, and philosophical teaching in realtime

In this we generate NER ,Question Answering and text generation using unsloth and Llama-3.2-3B-Instruct model

Chatbot for IIIT Nagpur using Fine Tuning and RAG

This project is a Hindi Article Generator, developed using natural language processing (NLP) techniques to create contextually relevant and coherent articles in Hindi. The model was trained on a custom dataset collected via web scraping. The model has been fine-tuned on a dataset of Hindi news headlines and articles.