概览
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.
要求、安装和快速入门
用法
模型兼容性与使用场景
仓库元数据未说明模型兼容性。
许可证与风险说明
Apache-2.0
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