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# K-FAC Memorization Suppression - Dependencies
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# Core ML
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torch>=2.0
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transformers>=4.35
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datasets>=2.14
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accelerate>=0.24
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# Numerical
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numpy>=1.24
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scipy>=1.11
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# Utilities
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tqdm>=4.65
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python-Levenshtein>=0.21 # Fast Levenshtein distance
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# Development
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jupyter>=1.0
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ipywidgets>=8.0
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# Optional: for loading OLMo models
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# ai2-olmo>=0.3.0
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