Fast inference engine for Transformer models
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Ongoing research training transformer models at scale
A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations
Open-source offline translation library written in Python
A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.
Faster Whisper transcription with CTranslate2
State-of-the-Art Embeddings, Retrieval, and Reranking
