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The BROKE Cluster Team
69a3c19c16
Changes: - Bundle tiktoken assets locally (mlxk2/assets/whisper/*.tiktoken) - Monkey-patch mlx-audio to use bundled assets at import time - Update pyproject.toml: mlx-audio>=0.3.1 from PyPI (no Git install) - Simplify README: 3 clear installation methods - Add NOTICE file for tiktoken asset attribution Fixes: mlx-audio Issue #479 (missing tiktoken assets in PyPI wheels) Workaround: Temporary until upstream fix available
31 lines
1.2 KiB
Plaintext
31 lines
1.2 KiB
Plaintext
MLX-Knife 2.0 (mlxk2)
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Copyright 2025 The BROKE team
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This product includes software developed by The BROKE team.
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Licensed under the Apache License, Version 2.0.
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THIRD-PARTY DEPENDENCIES
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========================
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This product includes software developed by:
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- MLX-LM (https://github.com/ml-explore/mlx-lm)
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Licensed under the MIT License
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- MLX-VLM (https://github.com/Blaizzy/mlx-vlm)
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Licensed under the MIT License
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- MLX-Audio (https://github.com/Blaizzy/mlx-audio)
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Licensed under the MIT License
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Note: mlx-audio transitively depends on soundfile (BSD-3-Clause), which
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includes an embedded build of libsndfile (LGPL-2.1-or-later) for audio I/O.
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The embedded library is dynamically loaded via CFFI (permitted under LGPL §6).
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MP3 codec support is provided by the embedded libsndfile without additional
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system dependencies (no ffmpeg or Homebrew required).
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mlx-knife bundles tiktoken vocabulary files (gpt2.tiktoken, multilingual.tiktoken)
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in mlxk2/assets/whisper/ from mlx-audio commit 9349644. These files are used as
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a workaround for mlx-audio Issue #479 (assets removed in f7328a4 but code still
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requires them). Original files are from the OpenAI Whisper model, distributed by
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mlx-audio under the MIT License.
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