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Printman1078/
whisper.cpp

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whisper.cpp Windows Universal Binary Package

This repository provides a community-compiled whisper.exe for Windows x64, requiring no local compilation. It supports a wide range of NVIDIA GPUs (from Maxwell sm_50 to Hopper sm_100) and automatically falls back to CPU when no GPU is available.

Why Recompile?

The official prebuilt binaries typically include GPU kernels for common hardware (e.g., sm_86). Older or less common GPUs (like the GTX 960M with sm_50) lack corresponding kernels and cause runtime errors such as:

CUDA error: no kernel image is available for execution on the device

To solve this compatibility gap, we rebuilt with the following CMake options:

-DCMAKE_CUDA_ARCHITECTURES=50^;52^;53^;60^;61^;62^;70^;72^;75^;80^;86^;87^;89^;90^;100^

CMAKE_CUDA_ARCHITECTURES=…
Statically compiles kernels for 19 compute capabilities (from sm_50 to sm_100), ensuring nearly all NVIDIA GPUs work out of the box.
GGML_CUDA_DYNARCH=OFF
Disables runtime architecture probing and relies solely on the above static list.
BUILD_SHARED_LIBS=OFF
Statically links all components (whisper, ggml, ggml-cpu, ggml-cuda) into a single whisper.exe, eliminating runtime plugin scanning and improving startup speed.

Included Files

After extracting whisper-win.zip, you only need these four files:

File	Description
`whisper.exe`	Main executable (GPU/CPU)
`cudart64_12.dll`	CUDA Runtime 12.x
`cublas64_12.dll`	cuBLAS 12.x
`cublasLt64_12.dll`	cuBLAS Lt 12.x

These DLLs come from the CUDA Toolkit bin/ directory; you do not need a full CUDA installation.

Quick Start

Download a model

bash
1curl -L -o model.bin \ 2 https://huggingface.co/ggerganov/whisper.cpp/resolve/main/models/ggml-base.en.bin
Extract and navigate

bat
1unzip whisper-win.zip -d whisper-win 2cd whisper-win
Run transcription

whisper.exe -m model.bin -f audio.wav --language zh -otxt
- -m: path to the model file
- -f: audio file to transcribe (WAV/MP3)
- --language: e.g. zh, en
- -otxt: output as plain text
Automatic CPU fallback
If no NVIDIA GPU or driver is found, the program seamlessly uses the CPU backend.

System Requirements

OS: Windows 10 or 11 (x64)
NVIDIA Driver: Compatible with CUDA 12.x (recommend R560 or newer)
Visual C++ Redistributable: Microsoft Visual C++ 2015–2022

License

whisper.cpp & ggml: MIT License
(See the original LICENSE)
CUDA Runtime & cuBLAS: NVIDIA EULA (retain NVIDIA’s license notices when redistributing)

Feel free to open issues if you encounter any problems or have suggestions!

Printman1078/whisper.cpp