Tags: #lora

xTuring simplifies the fine-tuning, evaluation, and deployment of open-source Large Language Models (LLMs) on private data, ensuring privacy and efficiency.

Provides a collection of Colab notebooks for efficiently fine-tuning large language models using PEFT methods like LoRA and Hugging Face transformers.

A beginner-friendly UI for fine-tuning language models using LoRA on commodity NVIDIA GPUs, though the project is no longer actively maintained.

A cost-effective solution for fine-tuning ChatGLM-6B using LoRA, enabling personalized large language models.

Open-source firmware for off-grid, long-range, low-power mesh communication, enabling text, location, and telemetry without internet or cellular.

ExpressLRS is an open-source, high-performance radio control link firmware designed for RC applications, offering superior range and ultra-low latency.

A comprehensive toolkit with a GUI and scripts for training LoRA and Dreambooth models for Stable Diffusion, built upon kohya-ss's trainer.

A multi-LoRA inference server designed to efficiently serve thousands of fine-tuned Large Language Models on a single GPU, drastically cutting serving costs while maintaining high throughput and low latency.

LongLoRA is an efficient fine-tuning method and associated models/datasets designed to extend the context window of Large Language Models (LLMs) for processing longer inputs.

A tool for fast and efficient fine-tuning of diffusion models using Low-rank Adaptation (LoRA), producing small, shareable models.

A unified platform simplifying instruction-tuning, parameter-efficient methods, and large language model integration for researchers and developers.

A library implementing various parameter-efficient fine-tuning (PEFT) algorithms, including advanced LoRA variants, for Stable Diffusion models to enhance image generation.