Stars
A high-throughput and memory-efficient inference and serving engine for LLMs
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
verl: Volcano Engine Reinforcement Learning for LLMs
Synthetic data curation for post-training and structured data extraction
Fully open data curation for reasoning models
Toolkit for prompting and caching query results.
SatLM: SATisfiability-Aided Language Models using Declarative Prompting (NeurIPS 2023)
A tool to perform natural language based point cloud generation using diffusion models
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A toolkit for developing and comparing reinforcement learning algorithms.