推理、部署与运行时

Model-Optimizer

NVIDIA/Model-Optimizer

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.

★ 3.3K星级
⑂ 513Fork 数
318未解决的问题
Python语言
Apache-2.0许可证
Q@project.QualityScore编辑评分

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

安装要求未在仓库元数据中说明。

用法

用法未在仓库元数据中注明。

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

ToolAI metadata-only listing: repository metadata is public; editorial content and manual verification are still pending. Quality score was recomputed from live GitHub repository facts on 2026-08-22 UTC using the seven-dimension channel formula.

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