Tags: #peft

A scalable and lightweight infrastructure for fine-tuning, inference, and deployment of over 1000 large language models (LLMs) and multimodal large language models (MLLMs) using advanced techniques.

A state-of-the-art library for Parameter-Efficient Fine-Tuning (PEFT) of large pretrained models, drastically reducing computational and storage costs.

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

A comprehensive code repository accompanying a hands-on course for mastering Huggingface Transformers, covering fundamental concepts to advanced fine-tuning and deployment techniques.

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

An efficient framework for fine-tuning ChatGLM-6B and ChatGLM2-6B models using PEFT methods, including LoRA, QLoRA, and RLHF, with a Web UI.