Tags: #lora

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

A collection of guides and code for efficiently fine-tuning large language models using PEFT (LoRA) and Hugging Face transformers.

A beginner-friendly UI for fine-tuning large language models (LLMs) using the LoRA method on commodity NVIDIA GPUs.

A cost-effective solution for finetuning ChatGLM-6B with LoRA, enabling personalized large language models.

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

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

A comprehensive GUI and script collection for training LoRA and Dreambooth models for Stable Diffusion, built upon kohya-ss's sd-scripts.

A multi-LoRA inference server designed to serve thousands of fine-tuned LLMs on a single GPU, significantly reducing serving costs while maintaining high throughput and low latency.

A Python library implementing LoRA (Low-Rank Adaptation) to efficiently fine-tune large language models by significantly reducing trainable parameters and storage requirements.

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.

Enables rapid and efficient fine-tuning of diffusion models, particularly Stable Diffusion, using Low-rank Adaptation (LoRA) to generate high-quality, custom images with significantly smaller model sizes.

LyCORIS is a library implementing various parameter-efficient fine-tuning (PEFT) algorithms for Stable Diffusion, extending beyond conventional LoRA methods to enhance model adaptation.