mirror of https://github.com/NVIDIA/TensorRT-LLM.git synced 2026-01-13 22:18:36 +08:00

History

石晓伟 bfc50a71b2 TensorRT-LLM v0.12 Update (#2164 )		2024-08-29 17:25:07 +08:00
..
docker	TensorRT-LLM v0.10 update	2024-06-05 20:43:25 +08:00
examples/llama	TensorRT-LLM v0.12 Update (#2164 )	2024-08-29 17:25:07 +08:00
destruct_env.ps1	TensorRT-LLM v0.10 update	2024-06-05 20:43:25 +08:00
README.md	TensorRT-LLM v0.10 update	2024-06-05 20:43:25 +08:00
setup_build_env.ps1	TensorRT-LLM v0.12 Update (#2164 )	2024-08-29 17:25:07 +08:00
setup_env.ps1	TensorRT-LLM v0.12 Update (#2164 )	2024-08-29 17:25:07 +08:00

README.md

TensorRT-LLM for Windows

  The Windows release of TensorRT-LLM is currently in beta.
  We recommend checking out the [v0.10.0 tag](https://github.com/NVIDIA/TensorRT-LLM/releases/tag/v0.10.0) for the most stable experience.

TensorRT-LLM is supported on bare-metal Windows for single-GPU inference. The release supports GeForce 40-series GPUs.

The release wheel for Windows can be installed with pip. Alternatively, you can build TensorRT-LLM for Windows from the source. Building from the source is an advanced option and is not necessary for building or running LLM engines. It is, however, required if you plan to use the C++ runtime directly or run C++ benchmarks.

Getting Started

To get started with TensorRT-LLM on Windows, visit our documentation: