finetuning

Simple and lightweight tool to fine-tune GPT models (like GPT-2 and GPT-Neo) using your own data — built with Python and Transformers. Adapt powerful language models to your domain with ease.

Hand-derived memory-efficient VJPs for tuning LLMs on laptops.

This is the official code for the paper "Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning" (NeurIPS2024)

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 🎋

Synthetic data for fine tuning LLM

DelphiMistralAI wrapper brings Mistral’s text-vision-audio models and agentic Conversations to Delphi, with chat, embeddings, Codestral codegen, fine-tuning, batching, moderation, async/await helpers and live request monitoring.

Implementation of TSDS: Data Selection for Task-Specific Model Finetuning. An optimal-transport framework for selecting domain-specific and task-specific training data to improve LLM finetuning and instruction tuning.

Toolchain for creating custom datasets and training Stable Diffusion (1.x, 2.x, XL) models and LoRAs

Fuel innovation and advance language models with HomoScriptor: A vibrant, community-driven dataset for fine-tuning large language models.

Multi-node distributed LLM training framework

fine-tuning of the Segment-Anything model by MetaAI

The complete open-source LLM curriculum — prompt engineering, RAG, fine-tuning, agents, and production deployment. Beginner to advanced. Python. Free forever.

Physics Master is a model fine-tuned from llama3-8B-Instruct. It can answer your physics question!

I have fineTuned FinBert Model on 4.9k Financial News Headlines, Got 81-82% ACC and it perfrom well in Financial Stock News Sentiment Analysis

Madlab is an advanced AI development studio designed to streamline the process of dataset management, model training, and evaluation. It combines a robust Node.js/Express backend with a powerful Python-based training engine and a modern React frontend.

Fine-Tuned Language Models Exploration using LoRA and Hugging Face's Transformers Library

Realism Adapter for Flux.1 Dev

Comparing Selective Masking Methods for Depression Detection in Social Media

A deep learning project for detecting and classifying teeth as normal or cavity using YOLOv12m. The model is integrated into a web application for real-time dental screening. Designed to enhance early diagnosis accessibility, with future improvements planned for dataset expansion, annotation quality, and robustness to real-world conditions.

Finetuning Google's Gemma Model for Translating Natural Language into SQL