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mit-han-lab / smoothquant

[ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
https://arxiv.org/abs/2211.10438
MIT License
1.1k stars 127 forks source link

Could not open smoothquant_opt_demo.ipynb #45

Open foreverpiano opened 1 year ago

foreverpiano commented 1 year ago

ipynb file has wrong type and can only be opened in json format.

foreverpiano commented 1 year ago

Error: Could not register service worker: InvalidStateError: Failed to register a ServiceWorker: The document is in an invalid state