Ecosystem & Stack: huggingface-transformers

An all-in-one AI framework for semantic search, LLM orchestration, and language model workflows, powered by an embeddings database.

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 unified library extending HuggingFace Transformers for parameter-efficient and modular transfer learning in NLP.

An open-source project providing Chinese LLaMA and instruction-tuned Alpaca large language models, optimized for Chinese NLP and local deployment on CPU/GPU.

A series of high-performance, cost-effective open-source large language models (LLMs) designed for general-purpose usage and advanced reasoning.

An open-source project providing Chinese LLaMA-2 and Alpaca-2 large language models with expanded Chinese vocabulary, enhanced capabilities, and support for ultra-long contexts up to 64K.

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 is a Python library that guarantees structured outputs from Large Language Models (LLMs) during generation, eliminating the need for post-processing and ensuring data validity.

A PyTorch implementation of Google's Imagen, a state-of-the-art text-to-image neural network, enabling advanced generative AI capabilities.