Optimum Quanto Pip. It has been designed with versatility and simplicity in mind: Oc

It has been designed with versatility and simplicity in mind: Oct 27, 2023 · from transformers. 1k次，点赞8次，收藏17次。本文介绍了Optimum，一个扩展了Transformers和Diffusers的库，提供模型在各种硬件上的高效推理和优化工具。涵盖了安装步骤、基础用法，如加载模型进行推理以及使用IntelNeuralCompressor进行量化。 Modules Quanto provides a generic mechanism to replace torch modules by optimum-quanto modules that are able to process quanto tensors. cu files are added to MANIFEST. Both the transformer and text encoder (Qwen3) are quantized. @mfuntowicz Shoud we put datasets as a global dependency Jun 1, 2024 · when I use: import quanto quanto. Mar 3, 2025 · 关于 optimum 和 quanto 与PyTorch 2. Please refer to the bench folder for detailed results per use-case of model. Quanto is also compatible with torch. Develop the features in your branch. compile，以实现更快的生成。 使用以下命令安装 Quanto。 Hugging Face 最近推出的 Optimum Quanto 是一个专为 PyTorch 模型设计的量化后端,为研究人员和开发者提供了一套强大而灵活的工具,可以轻松地对各种深度学习模型进行量化。 Optimum Quanto 的主要特性 Optimum Quanto 具有以下几个突出的特点: Quanto is a pytorch quantization backend which allows you to quantize a model either using the python API or the optimum-cli.

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