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1. Making large AI models cheaper, faster and more accessible
   Python 40.8k 4.5k
2. xDiT: A Scalable Inference Engine for Diffusion Transformers (DiTs) with Massive Parallelism
   Python 1.9k 204
3. a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.
   C++ 1.5k 200
4. PatrickStar enables Larger, Faster, Greener Pretrained Models for NLP and democratizes AI for everyone.
   Python 761 57
5. Fast inference from large lauguage models via speculative decoding
   Python 722 68
6. USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference
   Python 488 42