bitsandbytes

bobazooba/xllm

🦖 X—LLM: Cutting Edge & Easy LLM Finetuning

shaheennabi/Production-Ready-Instruction-Finetuning-of-Meta-Llama-3.2-3B-Instruct-Project

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 🎋

AkimfromParis/RAG-Japanese

Open source RAG with Llama Index for Japanese LLM in low resource settting

antonio-f/Orca2

Orca 2 on Colab

eljandoubi/AI-Photo-Editing-with-Inpainting

A web app that allows you to select a subject and then change its background, OR keep the background and change the subject.

dasdristanta13/LLM-Lora-PEFT_accumulate

LLM-Lora-PEFT_accumulate explores optimizations for Large Language Models (LLMs) using PEFT, LORA, and QLORA. Contribute experiments and implementations to enhance LLM efficiency. Join discussions and push the boundaries of LLM optimization. Let's make LLMs more efficient together!

ryan-air/Alpaca-3B-Fine-Tuned

In this project, I have provided code and a Colaboratory notebook that facilitates the fine-tuning process of an Alpaca 3B parameter model originally developed at Stanford University. The model was adapted using LoRA to run with fewer computational resources and training parameters and used HuggingFace's PEFT library.

bobazooba/shurale

Conversation AI model for open domain dialogs

arham-kk/llama2-qlora-sft

This model is a fine-tuned model based on the "TinyPixel/Llama-2-7B-bf16-sharded" model and "timdettmers/openassistant-guanaco" dataset

ryan-air/Alpaca-350M-Fine-Tuned

In this project, I have provided code and a Colaboratory notebook that facilitates the fine-tuning process of an Alpaca 350M parameter model originally developed at Stanford University. The model was adapted using LoRA to run with fewer computational resources and training parameters and used HuggingFace's PEFT library.

to-aoki/bitsandbytes

bitsandbytes modify for jetson orin

Bushra-Butt-17/BudgetBuddy-Finance-Chatbot

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.

kedir/Specialized-Immigration-Assistant

provide specialized immigration assistance in the field of immigration law using large language model

lpalbou/model-quantizer

Effortlessly quantize, benchmark, and publish Hugging Face models with cross-platform support for CPU/GPU. Reduce model size by 75% while maintaining performance.

Md-Emon-Hasan/Fine-Tuning

End-to-end fine-tuning of Hugging Face models using LoRA, QLoRA, quantization, and PEFT techniques. Optimized for low-memory with efficient model deployment

403errors/CancerCareAI

An AI-powered system for extracting cancer-related information from patient Electronic Health Record (EHR) notes

Varun0157/quantisation

Experiments in quantisation consisting of quantisation from scratch, bitsandbytes, and llama.cpp. [Assignment 4 of Advanced Natural Language Processing, IIIT-H Monsoon '24]

edcalderin/HuggingFace_RAGFlow

This project implements a classic Retrieval-Augmented Generation (RAG) system using HuggingFace models with quantization techniques. The system processes PDF documents, extracts their content, and enables interactive question-answering through a Streamlit web application.

rutujakokate430/Fine-tuning-DeepSeek-to-think-like-a-Doctor