Bryan Gilliom
133 lines
3.3 KiB
Markdown
133 lines
3.3 KiB
Markdown
# Verified macOS installation
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This procedure recreates the production configuration verified on an Apple
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Silicon MacBook Pro. It installs the software and model separately from the
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private authorized voice-asset archive.
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## Verified configuration
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- Apple Silicon macOS
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- Python 3.11
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- CosyVoice3 `0.1.0+metal`
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- 24 kHz Candle model: `spensercai/CosyVoice3-0.5B-Candle`
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- ffmpeg and Whisper available on `PATH`
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- Metal inference with full-precision weights
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## 1. Install system prerequisites
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Install Homebrew if it is not already present, then install:
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```bash
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brew install python@3.11 ffmpeg
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```
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Install the Whisper CLI into an isolated environment or with `pipx`. Confirm:
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```bash
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ffmpeg -version
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whisper --help
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python3.11 --version
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```
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## 2. Create the runtime
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The default runtime is:
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```text
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~/Library/Application Support/MPM Local Voice/runtime
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```
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Create its `models`, `voices`, `jobs`, and `wheels` directories. Create a Python
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3.11 virtual environment beside or inside the runtime and activate it.
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For a guided installation after downloading the model and private packages:
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```bash
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zsh scripts/install_macos.sh \
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--wheel /path/to/cosyvoice3-0.1.0+metal-cp310-abi3-macosx_11_0_arm64.whl \
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--assets /path/to/local-voice-authorized-assets-v0.1.0.tar.gz \
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--model-dir /path/to/CosyVoice3-0.5B-Candle
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```
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## 3. Install the tested Metal wheel
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Copy this file from the private CW-026 recovery package:
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```text
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cosyvoice3-0.1.0+metal-cp310-abi3-macosx_11_0_arm64.whl
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```
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Expected SHA-256:
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```text
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c9c04352fe0e559b7b43129baae7035b25b48922e2296498efc53c39874d4e39
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```
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Install the wheel and runtime Python dependencies:
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```bash
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python -m pip install ./wheels/cosyvoice3-0.1.0+metal-cp310-abi3-macosx_11_0_arm64.whl
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python -m pip install numpy==2.4.6 soundfile==0.14.0
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```
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## 4. Install the model
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Download `spensercai/CosyVoice3-0.5B-Candle` from Hugging Face into:
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```text
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runtime/models/CosyVoice3-0.5B-Candle
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```
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The private recovery manifest contains hashes for the production model files.
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At minimum the directory must contain:
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- `llm.safetensors`
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- `flow.safetensors`
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- `hift.safetensors`
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- `campplus.onnx`
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- `speech_tokenizer_v3.onnx`
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- `config.json`
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The model is approximately 4.7 GB and is not bundled with the public plugin.
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## 5. Install authorized voice assets
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Extract the private archive so the runtime contains:
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```text
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runtime/voices/donna
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runtime/voices/chris-engineer
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runtime/voices/grandpa-bomber
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runtime/voices/ryan-pitch-meeting
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runtime/voices/val-holiday
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```
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Do not publish or redistribute this archive.
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## 6. Verify
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From the plugin root:
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```bash
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python scripts/local_voice.py doctor --device metal
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python scripts/verify_install.py --device metal
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```
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Every dependency, model, and voice profile must report `PASS`.
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## 7. Install the plugin
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For Claude CoWork, install `local-voice-v0.1.0.plugin` from the private CW-026
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folder. For Codex, install from the MPM marketplace or use the same repository
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source containing `.codex-plugin/plugin.json`.
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Start a new task after installation so the host loads the skill.
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## Restore policy
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The public repository is authoritative for code and documentation. The private
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CW-026 folder is authoritative for the tested wheel, authorized voice assets,
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checksums, plugin packages, and recovery notes. The model is reproducible from
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its exact source and hashes; an optional offline model archive may be added
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later.
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