27 lines
929 B
Plaintext
27 lines
929 B
Plaintext
# Core dependencies for all quantization features
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torch>=2.0.0
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safetensors>=0.3.1
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tqdm>=4.65.0
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numpy>=1.17.0
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# Additional dependencies for ControlNet FP8 quantization
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tensorflow>=2.13.0
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tensorflow-model-optimization>=0.7.0
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# Additional dependencies for GGUF quantization
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# Note: GGUF package is included in the gguf/ directory (from City96's tools)
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# The following are required for GGUF functionality:
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huggingface_hub>=0.16.0
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requests>=2.28.0
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# Optional dependencies for enhanced functionality
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# These are recommended but not strictly required:
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# sentencepiece>=0.1.98 # For advanced GGUF model processing
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# pyyaml>=5.1 # For configuration file support
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# System requirements for GGUF quantization:
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# - Minimum 96GB RAM (for large diffusion models)
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# - CUDA-compatible GPU (recommended)
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# - Python 3.8+ with PyTorch 2.0+
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# - Sufficient storage space for temporary files during processing
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