Ecosystem & Stack: huggingface-transformers

PEFT is a state-of-the-art library for Parameter-Efficient Fine-Tuning, drastically reducing the computational and storage costs of adapting large pretrained models.

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

A unified library for parameter-efficient and modular transfer learning, extending HuggingFace Transformers with various adapter methods.

YaYi is an open-source Chinese large language model series, built on LLaMA 2 & BLOOM, designed to provide secure, reliable, and domain-specific AI capabilities for enterprise customers through extensive multi-domain instruction tuning.

A comprehensive collection of recipes and code for training various reward models crucial for Reinforcement Learning from Human Feedback (RLHF) in large language models.

Outlines guarantees structured outputs from Large Language Models during generation, eliminating post-processing headaches and ensuring data integrity.

A PyTorch implementation of Google's Imagen, a state-of-the-art text-to-image neural network that surpasses DALL-E2 in synthesis quality.