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# HuggingFace Introduces Quanto: A Python Quantization Toolkit to Reduce the Computational and Memory Costs of Evaluating Deep Learning Models

**[Machine Learning News](https://daily.dev/sources/mlnews)** · 4 min read · 0 upvotes · 0 comments

## Summary

HuggingFace introduces Quanto, a Python quantization toolkit that reduces the computational and memory costs of evaluating deep learning models. Quanto simplifies the quantization process for PyTorch models, offers a range of features, supports dynamic and static quantization, automates tasks, and integrates with the Hugging Face Transformers library.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.marktechpost.com/2024/03/23/huggingface-introduces-quanto-a-python-quantization-toolkit-to-reduce-the-computational-and-memory-costs-of-evaluating-deep-learning-models/>

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Tags: [#python](https://daily.dev/tags/python), [#deep-learning](https://daily.dev/tags/deep-learning), [#pytorch](https://daily.dev/tags/pytorch), [#huggingface](https://daily.dev/tags/huggingface)

[View this post on daily.dev](https://daily.dev/posts/huggingface-introduces-quanto-a-python-quantization-toolkit-to-reduce-the-computational-and-memory--1hc748tws)

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