mei986/whisperjav-wheels

WhisperJAV Pre-built Wheels

Pre-built Python wheels for WhisperJAV dependencies that are difficult to compile from source.

Repository Structure

whisperjav-wheels/
├── llama-cpp-python/
│   ├── cu124/          # CUDA 12.4 wheels
│   ├── cu121/          # CUDA 12.1 wheels (legacy)
│   └── metal/          # Apple Silicon wheels
└── README.md

Available Wheels

llama-cpp-python

For local LLM translation support (whisperjav-translate --provider local).

Platform	CUDA	Python	Wheel
Windows	12.4	3.10	llama_cpp_python-*-cp310-cp310-win_amd64.whl
Windows	12.4	3.11	llama_cpp_python-*-cp311-cp311-win_amd64.whl
Windows	12.4	3.12	llama_cpp_python-*-cp312-cp312-win_amd64.whl
Linux	12.4	3.10	llama_cpp_python-*-cp310-cp310-linux_x86_64.whl
Linux	12.4	3.11	llama_cpp_python-*-cp311-cp311-linux_x86_64.whl
Linux	12.4	3.12	llama_cpp_python-*-cp312-cp312-linux_x86_64.whl
macOS ARM	Metal	3.10	llama_cpp_python-*-cp310-cp310-macosx_arm64.whl
macOS ARM	Metal	3.11	llama_cpp_python-*-cp311-cp311-macosx_arm64.whl
macOS ARM	Metal	3.12	llama_cpp_python-*-cp312-cp312-macosx_arm64.whl

Installation

Automatic (via WhisperJAV installer)

pip install whisperjav[local-llm]

The installer automatically downloads the correct wheel for your platform.

Manual

from huggingface_hub import hf_hub_download

# Example: Download CUDA 12.4 wheel for Windows Python 3.11
wheel_path = hf_hub_download(
    repo_id="mei986/whisperjav-wheels",
    filename="llama-cpp-python/cu124/llama_cpp_python-0.3.8-cp311-cp311-win_amd64.whl",
    repo_type="dataset"
)

# Install
import subprocess
subprocess.run(["pip", "install", wheel_path])

Building Wheels

See .docs/WHEEL_BUILD_GUIDE.md in the WhisperJAV repository for build instructions.

License

These wheels are built from:

• llama-cpp-python - MIT License
• JamePeng/llama-cpp-python - MIT License (fork with CUDA improvements)

Related

• WhisperJAV - Main project
• v1.8 Release Plan