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[DOCS] fixes and 25.1 numbering alignment 25.1 (#29596)
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docs/articles_en/get-started/install-openvino.rst

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Install OpenVINO™ 2025.0
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Install OpenVINO™ 2025.1
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==========================
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<iframe id="selector" src="../_static/selector-tool/selector-dbd55b5.html" style="width: 100%; border: none" title="Download Intel® Distribution of OpenVINO™ Toolkit"></iframe>
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OpenVINO 2025.0, described here, is not a Long-Term-Support version!
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OpenVINO 2025.1, described here, is not a Long-Term-Support version!
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All currently supported versions are:
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* 2025.0 (development)
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* 2025.1 (development)
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* 2024.6 (maintenance)
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* 2023.3 (LTS), it will be deprecated at the end of 2025.
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docs/articles_en/get-started/install-openvino/install-openvino-conan.rst

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.. code-block:: sh
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[requires]
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openvino/2024.4.0
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openvino/2025.1.0
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[generators]
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CMakeDeps
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CMakeToolchain

docs/articles_en/get-started/install-openvino/install-openvino-docker-linux.rst

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OpenVINO's `Docker <https://docs.docker.com/>`__ and :doc:`Bare Metal <../install-openvino>`
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distributions are identical, so the documentation applies to both.
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Note that starting with OpenVINO 2024.4, Ubuntu docker images will no longer be provided
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and will be replaced by Debian-based ones.
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Note that Ubuntu docker images are no longer provided, Debian-based ones are available instead.
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.. note::
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docs/articles_en/openvino-workflow-generative.rst

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The advantages of using OpenVINO for generative model deployment:
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| **Fewer dependencies and smaller footprint**
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| Less bloated than frameworks such as Hugging Face and PyTorch, with a smaller binary size and reduced
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memory footprint, makes deployments easier and updates more manageable.
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| More compact than frameworks such as Hugging Face and PyTorch, with a smaller binary size
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and reduced memory footprint, makes deployments easier and updates more manageable.
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| **Compression and precision management**
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| Techniques such as 8-bit and 4-bit weight compression, including embedding layers, and storage

docs/articles_en/openvino-workflow-generative/inference-with-genai/inference-with-genai-on-npu.rst

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python3 -m venv npu-env
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npu-env/bin/activate
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pip install nncf==2.14.1 onnx==1.17.0 optimum-intel==1.21.0
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pip install openvino==2025.0 openvino-tokenizers==2025.0 openvino-genai==2025.0
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pip install openvino==2025.1 openvino-tokenizers==2025.1 openvino-genai==2025.1
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For the pre-production version, use the following line, instead:
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python -m venv npu-env
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npu-env\Scripts\activate
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pip install nncf==2.14.1 onnx==1.17.0 optimum-intel==1.21.0
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pip install openvino==2025.0 openvino-tokenizers==2025.0 openvino-genai==2025.0
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pip install openvino==2025.1 openvino-tokenizers==2025.1 openvino-genai==2025.1
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For the pre-production version, use the following line, instead:
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docs/dev/ov_dependencies.txt

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# Copyright (C) 2024 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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#This file provides a comprehensive list of all dependencies of OpenVINO 2025.0
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#This file provides a comprehensive list of all dependencies of OpenVINO 2025.1
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#The file is part of the automation pipeline for posting OpenVINO IR models on the HuggingFace Hub, including OneBOM dependency checks.
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docs/dev/pypi_publish/pre-release-note.md

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docs/dev/pypi_publish/pypi-openvino-rt.md

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# OpenVINO™
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<!--- The note below is intended for master branch only for pre-release purpose. Remove it for official releases. --->
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> **NOTE**: This version is pre-release software and has not undergone full release validation or qualification. No support is offered on pre-release software and APIs/behavior are subject to change. It should NOT be incorporated into any production software/solution and instead should be used only for early testing and integration while awaiting a final release version of this software.
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Intel® Distribution of OpenVINO™ toolkit is an open-source toolkit for optimizing and deploying
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AI inference. It can be used to develop applications and solutions based on deep learning tasks,

docs/sphinx_setup/_static/html/banner_data.json

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{
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"p": "This page is a nightly version. It may be incomplete or faulty in both content and functionality. <a href='https://docs.openvino.ai/'>Go to the most recent official documentation version, 2024.</a>",
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"p": "",
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"version": "1",
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"style": "warning",
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"_styles": "warning info critical"

docs/sphinx_setup/api/nodejs_api/nodejs_api.rst

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Get started with OpenVINO Node.js API development :doc:`here <./addon>`.
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OpenVINO 2024.4 has introduced the following methods:
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With OpenVINO 2024.4, the following methods have been introduced:
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- :ref:`Model.clone() <clone>`
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- :ref:`Model.getOutputElementType() <getOutputElementType>`

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