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GitHub / ksm26 / Quantization-Fundamentals-with-Hugging-Face

Learn linear quantization techniques using the Quanto library and downcasting methods with the Transformers library to compress and optimize generative AI models effectively.

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Stars: 0
Forks: 0
Open Issues: 0

License: None
Language: Jupyter Notebook
Repo Size: 205 KB
Dependencies: 0

Created: about 1 month ago
Updated: about 1 month ago
Last pushed: about 1 month ago
Last synced: about 1 month ago

Topics: compression, downcasting, generative-ai, hugging-face, linear-quantization, model-compression, model-deployment, model-optimization, optimize, quantization, quantization-fundamentals, quanto-library, transformers-library

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