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## Description The license isn't permissive. Maybe they'll negotiate it in future. CVS-181328 ## Checklist: - [x] This PR follows [GenAI Contributing guidelines](https://github.com/openvinotoolkit/openvino.genai?tab=contributing-ov-file#contributing). <!-- Always follow them. If there are deviations, explain what and why. --> - [x] Tests have been updated or added to cover the new code. <!-- Specify exactly which tests were added or updated. If the change isn't maintenance related, update the tests at https://github.com/openvinotoolkit/openvino.genai/tree/master/tests or explain in the description why the tests don't need an update. --> - [ ] This PR fully addresses the ticket - OV notebooks are out of this PR scope - [x] I have made corresponding changes to the documentation: https://wovchena.github.io/openvino.genai-public/docs/supported-models/#image-generation-models --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
… /tools/who_what_benchmark (openvinotoolkit#3375) Updates the requirements on [scipy](https://github.com/scipy/scipy) to permit the latest version. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/scipy/scipy/releases">scipy's releases</a>.</em></p> <blockquote> <h1>SciPy 1.17.1 Release Notes</h1> <p>SciPy <code>1.17.1</code> is a bug-fix release with no new features compared to <code>1.17.0</code>.</p> <h1>Authors</h1> <ul> <li>Name (commits)</li> <li>Evgeni Burovski (5)</li> <li>Lucas Colley (1)</li> <li>Christoph Gohlke (1)</li> <li>Ralf Gommers (6)</li> <li>Matt Haberland (5)</li> <li>Matthias Koeppe (1)</li> <li>Nick ODell (1)</li> <li>Ilhan Polat (10)</li> <li>Tyler Reddy (44)</li> <li>Martin Schuck (3)</li> <li>Dan Schult (3)</li> <li>stratakis (1) +</li> <li>ਗਗਨਦੀਪ ਸਿੰਘ (Gagandeep Singh) (1)</li> </ul> <p>A total of 13 people contributed to this release. People with a "+" by their names contributed a patch for the first time. This list of names is automatically generated, and may not be fully complete.</p> <p>Complete issue list, PR list, and release asset hashes are available in the associated <a href="https://github.com/scipy/scipy/releases/download/v1.17.1/README.txt"><code>README.txt</code></a>.</p> </blockquote> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/scipy/scipy/commit/527eb7fd7953a1de068f94bf8b322f249b9405ae"><code>527eb7f</code></a> REL: 1.17.1 release commit [wheel build]</li> <li><a href="https://github.com/scipy/scipy/commit/f11663bf044f1cb5a0112a28ac238f902ae36eea"><code>f11663b</code></a> Merge pull request <a href="https://redirect.github.com/scipy/scipy/issues/24584">#24584</a> from tylerjereddy/treddy_prep_1.17.1</li> <li><a href="https://github.com/scipy/scipy/commit/2c49e68b634d2657380ca7b65207c6122e83cb72"><code>2c49e68</code></a> DOC: PR 24584 revisions</li> <li><a href="https://github.com/scipy/scipy/commit/400fa15ed6f9fece4c3848e9eade0e7d5e5aece0"><code>400fa15</code></a> safely convert index dtypes to intc for csgraph and superLU</li> <li><a href="https://github.com/scipy/scipy/commit/8c704044ab6f8f3e94295f354dbadfcab9139837"><code>8c70404</code></a> MAINT: PR 24584 revisions [wheel build]</li> <li><a href="https://github.com/scipy/scipy/commit/6dda8c13c534a61bc56c7b11bb5841efbd37d9dd"><code>6dda8c1</code></a> BUG: PR 24584 revisions</li> <li><a href="https://github.com/scipy/scipy/commit/4a187e59ea9cde1f79b4fae9dbd8177adcf0ddf3"><code>4a187e5</code></a> DOC: PR 24584 revisions</li> <li><a href="https://github.com/scipy/scipy/commit/463ee9f72a5f1afe3363e86344a55eea1c1ba477"><code>463ee9f</code></a> ENH: linalg/inv: re-enable overwrite_a for 2D inputs (<a href="https://redirect.github.com/scipy/scipy/issues/24442">#24442</a>)</li> <li><a href="https://github.com/scipy/scipy/commit/df746eed5eae0243969fd8de07770c4ace1dc65c"><code>df746ee</code></a> BUG: linalg: restore dtypes in inv, solve, det</li> <li><a href="https://github.com/scipy/scipy/commit/246bfeecbe56200ae4e265a70e06ccc64daee9c2"><code>246bfee</code></a> MAINT:optimize: Enable multi-phase init to DIRECT</li> <li>Additional commits viewable in <a href="https://github.com/scipy/scipy/compare/v1.3.2...v1.17.1">compare view</a></li> </ul> </details> <br /> Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting `@dependabot rebase`. [//]: # (dependabot-automerge-start) [//]: # (dependabot-automerge-end) --- <details> <summary>Dependabot commands and options</summary> <br /> You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot show <dependency name> ignore conditions` will show all of the ignore conditions of the specified dependency - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself) </details> Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
…toolkit#3374) Bumps [bitsandbytes](https://github.com/bitsandbytes-foundation/bitsandbytes) from 0.49.1 to 0.49.2. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/bitsandbytes-foundation/bitsandbytes/releases">bitsandbytes's releases</a>.</em></p> <blockquote> <h2>0.49.2</h2> <h2>Highlights</h2> <ul> <li>The default blocksize of 64 for 4bit quantization is now supported on ROCm. Previously the default was 128, which was a mismatch from the default for other devices.</li> <li>ROCm 7.2 build is now included.</li> </ul> <h2>What's Changed</h2> <ul> <li>bug: fix 8bitoptim support with fsdp by <a href="https://github.com/ved1beta"><code>@ved1beta</code></a> in <a href="https://redirect.github.com/bitsandbytes-foundation/bitsandbytes/pull/1840">bitsandbytes-foundation/bitsandbytes#1840</a></li> <li>Fix xpu 4bit kernel by <a href="https://github.com/jiqing-feng"><code>@jiqing-feng</code></a> in <a href="https://redirect.github.com/bitsandbytes-foundation/bitsandbytes/pull/1839">bitsandbytes-foundation/bitsandbytes#1839</a></li> <li>ROCm 7.2 build and doc changes by <a href="https://github.com/sstamenk"><code>@sstamenk</code></a> in <a href="https://redirect.github.com/bitsandbytes-foundation/bitsandbytes/pull/1845">bitsandbytes-foundation/bitsandbytes#1845</a></li> <li>Add CUDA kernel support for 4-bit quantization with blocksize=32 by <a href="https://github.com/Abdennacer-Badaoui"><code>@Abdennacer-Badaoui</code></a> in <a href="https://redirect.github.com/bitsandbytes-foundation/bitsandbytes/pull/1854">bitsandbytes-foundation/bitsandbytes#1854</a></li> <li>Add blocksize=64 4-bit quantization support for ROCm CDNA (warp64) GPUs by <a href="https://github.com/Abdennacer-Badaoui"><code>@Abdennacer-Badaoui</code></a> in <a href="https://redirect.github.com/bitsandbytes-foundation/bitsandbytes/pull/1856">bitsandbytes-foundation/bitsandbytes#1856</a></li> <li>[Docs Update] QLoRA 4-bit Support on ROCm by <a href="https://github.com/Abdennacer-Badaoui"><code>@Abdennacer-Badaoui</code></a> in <a href="https://redirect.github.com/bitsandbytes-foundation/bitsandbytes/pull/1857">bitsandbytes-foundation/bitsandbytes#1857</a></li> <li>[ROCm] Make blocksize=64 default for 4bit by <a href="https://github.com/matthewdouglas"><code>@matthewdouglas</code></a> in <a href="https://redirect.github.com/bitsandbytes-foundation/bitsandbytes/pull/1873">bitsandbytes-foundation/bitsandbytes#1873</a></li> <li>Handle non-contiguous tensors in quantize/dequantize ops by <a href="https://github.com/TimDettmers"><code>@TimDettmers</code></a> in <a href="https://redirect.github.com/bitsandbytes-foundation/bitsandbytes/pull/1859">bitsandbytes-foundation/bitsandbytes#1859</a></li> <li>Fix AdEMAMix scheduler guard and add state_dict round-trip test by <a href="https://github.com/TimDettmers"><code>@TimDettmers</code></a> in <a href="https://redirect.github.com/bitsandbytes-foundation/bitsandbytes/pull/1861">bitsandbytes-foundation/bitsandbytes#1861</a></li> </ul> <h2>New Contributors</h2> <ul> <li><a href="https://github.com/Abdennacer-Badaoui"><code>@Abdennacer-Badaoui</code></a> made their first contribution in <a href="https://redirect.github.com/bitsandbytes-foundation/bitsandbytes/pull/1854">bitsandbytes-foundation/bitsandbytes#1854</a></li> </ul> <p><strong>Full Changelog</strong>: <a href="https://github.com/bitsandbytes-foundation/bitsandbytes/compare/0.49.1...0.49.2">https://github.com/bitsandbytes-foundation/bitsandbytes/compare/0.49.1...0.49.2</a></p> </blockquote> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/bitsandbytes-foundation/bitsandbytes/commit/f0e6ca31b32c4744a9cee4e31610b25796cbf778"><code>f0e6ca3</code></a> Release 0.49.2</li> <li><a href="https://github.com/bitsandbytes-foundation/bitsandbytes/commit/cace65c7914bc05f280ab23733fea09ac094c485"><code>cace65c</code></a> Fix AdEMAMix scheduler guard and add state_dict round-trip test (<a href="https://redirect.github.com/bitsandbytes-foundation/bitsandbytes/issues/1861">#1861</a>)</li> <li><a href="https://github.com/bitsandbytes-foundation/bitsandbytes/commit/505a00a10438369005efc34781bef23e27ebc083"><code>505a00a</code></a> Handle non-contiguous tensors in quantize/dequantize ops (<a href="https://redirect.github.com/bitsandbytes-foundation/bitsandbytes/issues/1859">#1859</a>)</li> <li><a href="https://github.com/bitsandbytes-foundation/bitsandbytes/commit/c2ae381b74c40a1e4b71f8691932ac19dcf30900"><code>c2ae381</code></a> [ROCm] Make blocksize=64 default for 4bit (<a href="https://redirect.github.com/bitsandbytes-foundation/bitsandbytes/issues/1873">#1873</a>)</li> <li><a href="https://github.com/bitsandbytes-foundation/bitsandbytes/commit/943e42df9d9aaaf1c1109c724134e7a4281ec7c7"><code>943e42d</code></a> Skip typo check on agent markdown files</li> <li><a href="https://github.com/bitsandbytes-foundation/bitsandbytes/commit/b075afccb3b6fabbdb83882e21e97b02853bbaa2"><code>b075afc</code></a> update docs (<a href="https://redirect.github.com/bitsandbytes-foundation/bitsandbytes/issues/1857">#1857</a>)</li> <li><a href="https://github.com/bitsandbytes-foundation/bitsandbytes/commit/de89ff7463f3f59bcbe39105f096108fc26c6d4d"><code>de89ff7</code></a> docs: Add PR review posting guide, agent reference docs, and lint fixes</li> <li><a href="https://github.com/bitsandbytes-foundation/bitsandbytes/commit/a2c92f7bef121af447a21510023d025f5d518359"><code>a2c92f7</code></a> docs: Add human+agent issue triage workflow guide</li> <li><a href="https://github.com/bitsandbytes-foundation/bitsandbytes/commit/252e6fff1e4200b0f25b01073eca5ad6ec5f6ed9"><code>252e6ff</code></a> docs: Update issue patterns from 43 recently closed issues</li> <li><a href="https://github.com/bitsandbytes-foundation/bitsandbytes/commit/88c6c712a249906b5f85b96b0a91aa6718b8d26a"><code>88c6c71</code></a> style: Fix ruff format violation in test_linear4bit.py</li> <li>Additional commits viewable in <a href="https://github.com/bitsandbytes-foundation/bitsandbytes/compare/0.49.1...0.49.2">compare view</a></li> </ul> </details> <br /> [](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting `@dependabot rebase`. [//]: # (dependabot-automerge-start) [//]: # (dependabot-automerge-end) --- <details> <summary>Dependabot commands and options</summary> <br /> You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot show <dependency name> ignore conditions` will show all of the ignore conditions of the specified dependency - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself) </details> Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
…he npm_and_yarn group across 1 directory (openvinotoolkit#3370) Bumps the npm_and_yarn group with 1 update in the /site directory: [ajv](https://github.com/ajv-validator/ajv). Updates `ajv` from 6.12.6 to 6.14.0 <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/ajv-validator/ajv/commit/e3af0a723b4b7ad86eff43be355c706d31e0e915"><code>e3af0a7</code></a> 6.14.0</li> <li><a href="https://github.com/ajv-validator/ajv/commit/b552ed66191eb338498df3196065c777e3bb71f2"><code>b552ed6</code></a> add regExp option to address $data exploit via a regular expression (CVE-2025...</li> <li><a href="https://github.com/ajv-validator/ajv/commit/72f228665859eed5e2be3a66f8c4a7aff6b34dcf"><code>72f2286</code></a> docs: update v7 info</li> <li><a href="https://github.com/ajv-validator/ajv/commit/231e52b3bca62559202b95e5fb5cee02145b226a"><code>231e52b</code></a> Merge pull request <a href="https://redirect.github.com/ajv-validator/ajv/issues/1320">#1320</a> from philsturgeon/patch-1</li> <li><a href="https://github.com/ajv-validator/ajv/commit/d3475fc20416c33fe030c8aa3b09fa411f325bbd"><code>d3475fc</code></a> Add spectral, an AJV util from a sponsor</li> <li><a href="https://github.com/ajv-validator/ajv/commit/413afe01f518ea74d1740a7cb211df787c585544"><code>413afe0</code></a> docs: v7.0.0-beta.3</li> <li><a href="https://github.com/ajv-validator/ajv/commit/11e997bda2f3eecb445c1e5a07d96ef7e81c5f5d"><code>11e997b</code></a> update readme for v7</li> <li>See full diff in <a href="https://github.com/ajv-validator/ajv/compare/v6.12.6...v6.14.0">compare view</a></li> </ul> </details> <br /> [](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting `@dependabot rebase`. [//]: # (dependabot-automerge-start) [//]: # (dependabot-automerge-end) --- <details> <summary>Dependabot commands and options</summary> <br /> You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot show <dependency name> ignore conditions` will show all of the ignore conditions of the specified dependency - `@dependabot ignore <dependency name> major version` will close this group update PR and stop Dependabot creating any more for the specific dependency's major version (unless you unignore this specific dependency's major version or upgrade to it yourself) - `@dependabot ignore <dependency name> minor version` will close this group update PR and stop Dependabot creating any more for the specific dependency's minor version (unless you unignore this specific dependency's minor version or upgrade to it yourself) - `@dependabot ignore <dependency name>` will close this group update PR and stop Dependabot creating any more for the specific dependency (unless you unignore this specific dependency or upgrade to it yourself) - `@dependabot unignore <dependency name>` will remove all of the ignore conditions of the specified dependency - `@dependabot unignore <dependency name> <ignore condition>` will remove the ignore condition of the specified dependency and ignore conditions You can disable automated security fix PRs for this repo from the [Security Alerts page](https://github.com/openvinotoolkit/openvino.genai/network/alerts). </details> Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
## Description Enforce pull_request_template.md ## Checklist: - [x] This PR follows [GenAI Contributing guidelines](https://github.com/openvinotoolkit/openvino.genai?tab=contributing-ov-file#contributing). <!-- Always follow them. If there are deviations, explain what and why. --> - N/A Tests have been updated or added to cover the new code. <!-- Specify exactly which tests were added or updated. If the change isn't maintenance related, update the tests at https://github.com/openvinotoolkit/openvino.genai/tree/master/tests or explain in the description why the tests don't need an update. --> - N/A This PR fully addresses the ticket. <!--- If not, explain clearly what is covered and what is not. If follow-up pull requests are needed, specify in the description. --> - N/A I have made corresponding changes to the documentation. <!-- Run github.com/\<username>/openvino.genai/actions/workflows/deploy_gh_pages.yml on your fork with your branch as a parameter to deploy a test version with the updated content. Replace this comment with the link to the built docs. If the documentation is updated in a separate PR, clearly specify it. --> --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
<!-- Keep your pull requests (PRs) as atomic as possible. That increases the likelihood that an individual PR won't be stuck because of adjacent problems, merge conflicts, or code review. Your merged PR is going to appear in the automatically generated release notes on GitHub. So the clearer the title the better. --> ## Description <!-- Please include a summary of the change. Also include relevant motivation and context. --> <!-- Jira ticket number (e.g., 123). Delete if there's no ticket. --> CVS-181511 implemented, use latest ov commit. ## Checklist: - [x] This PR follows [GenAI Contributing guidelines](https://github.com/openvinotoolkit/openvino.genai?tab=contributing-ov-file#contributing). <!-- Always follow them. If there are deviations, explain what and why. --> - [x] Tests have been updated or added to cover the new code. <!-- Specify exactly which tests were added or updated. If the change isn't maintenance related, update the tests at https://github.com/openvinotoolkit/openvino.genai/tree/master/tests or explain in the description why the tests don't need an update. --> - [x] This PR fully addresses the ticket. <!--- If not, explain clearly what is covered and what is not. If follow-up pull requests are needed, specify in the description. --> - [NA] I have made corresponding changes to the documentation. <!-- Run github.com/\<username>/openvino.genai/actions/workflows/deploy_gh_pages.yml on your fork with your branch as a parameter to deploy a test version with the updated content. Replace this comment with the link to the built docs. If the documentation is updated in a separate PR, clearly specify it. -->
… /tools/llm_bench (openvinotoolkit#3373) Updates the requirements on [scipy](https://github.com/scipy/scipy) to permit the latest version. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/scipy/scipy/releases">scipy's releases</a>.</em></p> <blockquote> <h1>SciPy 1.17.1 Release Notes</h1> <p>SciPy <code>1.17.1</code> is a bug-fix release with no new features compared to <code>1.17.0</code>.</p> <h1>Authors</h1> <ul> <li>Name (commits)</li> <li>Evgeni Burovski (5)</li> <li>Lucas Colley (1)</li> <li>Christoph Gohlke (1)</li> <li>Ralf Gommers (6)</li> <li>Matt Haberland (5)</li> <li>Matthias Koeppe (1)</li> <li>Nick ODell (1)</li> <li>Ilhan Polat (10)</li> <li>Tyler Reddy (44)</li> <li>Martin Schuck (3)</li> <li>Dan Schult (3)</li> <li>stratakis (1) +</li> <li>ਗਗਨਦੀਪ ਸਿੰਘ (Gagandeep Singh) (1)</li> </ul> <p>A total of 13 people contributed to this release. People with a "+" by their names contributed a patch for the first time. This list of names is automatically generated, and may not be fully complete.</p> <p>Complete issue list, PR list, and release asset hashes are available in the associated <a href="https://github.com/scipy/scipy/releases/download/v1.17.1/README.txt"><code>README.txt</code></a>.</p> </blockquote> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/scipy/scipy/commit/527eb7fd7953a1de068f94bf8b322f249b9405ae"><code>527eb7f</code></a> REL: 1.17.1 release commit [wheel build]</li> <li><a href="https://github.com/scipy/scipy/commit/f11663bf044f1cb5a0112a28ac238f902ae36eea"><code>f11663b</code></a> Merge pull request <a href="https://redirect.github.com/scipy/scipy/issues/24584">#24584</a> from tylerjereddy/treddy_prep_1.17.1</li> <li><a href="https://github.com/scipy/scipy/commit/2c49e68b634d2657380ca7b65207c6122e83cb72"><code>2c49e68</code></a> DOC: PR 24584 revisions</li> <li><a href="https://github.com/scipy/scipy/commit/400fa15ed6f9fece4c3848e9eade0e7d5e5aece0"><code>400fa15</code></a> safely convert index dtypes to intc for csgraph and superLU</li> <li><a href="https://github.com/scipy/scipy/commit/8c704044ab6f8f3e94295f354dbadfcab9139837"><code>8c70404</code></a> MAINT: PR 24584 revisions [wheel build]</li> <li><a href="https://github.com/scipy/scipy/commit/6dda8c13c534a61bc56c7b11bb5841efbd37d9dd"><code>6dda8c1</code></a> BUG: PR 24584 revisions</li> <li><a href="https://github.com/scipy/scipy/commit/4a187e59ea9cde1f79b4fae9dbd8177adcf0ddf3"><code>4a187e5</code></a> DOC: PR 24584 revisions</li> <li><a href="https://github.com/scipy/scipy/commit/463ee9f72a5f1afe3363e86344a55eea1c1ba477"><code>463ee9f</code></a> ENH: linalg/inv: re-enable overwrite_a for 2D inputs (<a href="https://redirect.github.com/scipy/scipy/issues/24442">#24442</a>)</li> <li><a href="https://github.com/scipy/scipy/commit/df746eed5eae0243969fd8de07770c4ace1dc65c"><code>df746ee</code></a> BUG: linalg: restore dtypes in inv, solve, det</li> <li><a href="https://github.com/scipy/scipy/commit/246bfeecbe56200ae4e265a70e06ccc64daee9c2"><code>246bfee</code></a> MAINT:optimize: Enable multi-phase init to DIRECT</li> <li>Additional commits viewable in <a href="https://github.com/scipy/scipy/compare/v1.3.2...v1.17.1">compare view</a></li> </ul> </details> <br /> Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting `@dependabot rebase`. [//]: # (dependabot-automerge-start) [//]: # (dependabot-automerge-end) --- <details> <summary>Dependabot commands and options</summary> <br /> You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot show <dependency name> ignore conditions` will show all of the ignore conditions of the specified dependency - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself) </details> Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
…penvinotoolkit#3381) <!-- Keep your pull requests (PRs) as atomic as possible. That increases the likelihood that an individual PR won't be stuck because of adjacent problems, merge conflicts, or code review. Your merged PR is going to appear in the automatically generated release notes on GitHub. So the clearer the title the better. --> ## Description <!-- Please include a summary of the change. Also include relevant motivation and context. --> In order to support EAGLE3 draft model conversion with the official optimum-intel (which is currently converted with a private optimum-intel commit ID), a new optimum-intel commit ID is required. Separate into 2 steps: - Step 1 (This PR): Bump to the new optimum-intel commit ID and make sure other models (other than the EAGLE3 draft model) work - Step 2 ([[Test] Convert EAGLE3 draft model with official optimum intel openvinotoolkit#3322](openvinotoolkit#3322)): Convert the EAGLE3 draft model with the official optimum-intel <!-- Jira ticket number (e.g., 123). Delete if there's no ticket. --> <!-- Remove if not applicable --> ## Checklist: - [ ] This PR follows [GenAI Contributing guidelines](https://github.com/openvinotoolkit/openvino.genai?tab=contributing-ov-file#contributing). <!-- Always follow them. If there are deviations, explain what and why. --> - [ ] Tests have been updated or added to cover the new code. <!-- Specify exactly which tests were added or updated. If the change isn't maintenance related, update the tests at https://github.com/openvinotoolkit/openvino.genai/tree/master/tests or explain in the description why the tests don't need an update. --> - [ ] This PR fully addresses the ticket. <!--- If not, explain clearly what is covered and what is not. If follow-up pull requests are needed, specify in the description. --> - [ ] I have made corresponding changes to the documentation. <!-- Run github.com/\<username>/openvino.genai/actions/workflows/deploy_gh_pages.yml on your fork with your branch as a parameter to deploy a test version with the updated content. Replace this comment with the link to the built docs. If the documentation is updated in a separate PR, clearly specify it. --> --------- Signed-off-by: Chen, Peter <peter.chen@intel.com> Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
<!-- Keep your pull requests (PRs) as atomic as possible. That increases the likelihood that an individual PR won't be stuck because of adjacent problems, merge conflicts, or code review. Your merged PR is going to appear in the automatically generated release notes on GitHub. So the clearer the title the better. --> ## Description <!-- Please include a summary of the change. Also include relevant motivation and context. --> Should lower the number of API requests to the HF servers. It was introduced and tested in openvinotoolkit/openvino/pull/32282 and openvinotoolkit/openvino/pull/32458 <!-- Jira ticket number (e.g., 123). Delete if there's no ticket. --> CVS-180694 ## Checklist: - [x] This PR follows [GenAI Contributing guidelines](https://github.com/openvinotoolkit/openvino.genai?tab=contributing-ov-file#contributing). <!-- Always follow them. If there are deviations, explain what and why. --> - [x] Tests have been updated or added to cover the new code. <!-- Specify exactly which tests were added or updated. If the change isn't maintenance related, update the tests at https://github.com/openvinotoolkit/openvino.genai/tree/master/tests or explain in the description why the tests don't need an update. --> - [x] This PR fully addresses the ticket. <!--- If not, explain clearly what is covered and what is not. If follow-up pull requests are needed, specify in the description. --> - [x] I have made corresponding changes to the documentation. <!-- Run github.com/\<username>/openvino.genai/actions/workflows/deploy_gh_pages.yml on your fork with your branch as a parameter to deploy a test version with the updated content. Replace this comment with the link to the built docs. If the documentation is updated in a separate PR, clearly specify it. -->
<!-- Keep your pull requests (PRs) as atomic as possible. That increases the likelihood that an individual PR won't be stuck because of adjacent problems, merge conflicts, or code review. Your merged PR is going to appear in the automatically generated release notes on GitHub. So the clearer the title the better. --> ## Description - Implement the getGenerationConfig() functions for LLMPipeline and VLMPipeline. - Extend the helper functions to convert CPP GenerationConfig to a JavaScript entity. - Extend the parser wrappers to convert them into JavaScript entities. - Change types to fix value overflow. - Update the documentation. - Add test cases. CVS-181673 ## Checklist: - [x] This PR follows [GenAI Contributing guidelines](https://github.com/openvinotoolkit/openvino.genai?tab=contributing-ov-file#contributing). <!-- Always follow them. If there are deviations, explain what and why. --> - [x] Tests have been updated or added to cover the new code. <!-- Specify exactly which tests were added or updated. If the change isn't maintenance related, update the tests at https://github.com/openvinotoolkit/openvino.genai/tree/master/tests or explain in the description why the tests don't need an update. --> - [x] This PR fully addresses the ticket. <!--- If not, explain clearly what is covered and what is not. If follow-up pull requests are needed, specify in the description. --> - [x] I have made corresponding changes to the documentation. <!-- Run github.com/\<username>/openvino.genai/actions/workflows/deploy_gh_pages.yml on your fork with your branch as a parameter to deploy a test version with the updated content. Replace this comment with the link to the built docs. If the documentation is updated in a separate PR, clearly specify it. --> --------- Signed-off-by: Kirill Suvorov <kirill.suvorov@intel.com> Co-authored-by: Alicja Miloszewska <alicja.miloszewska@intel.com>
Bumps [timm](https://github.com/huggingface/pytorch-image-models) from 1.0.24 to 1.0.25. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/huggingface/pytorch-image-models/releases">timm's releases</a>.</em></p> <blockquote> <h2>Release v1.0.25</h2> <h2>Feb 23, 2026</h2> <ul> <li>Add token distillation training support to distillation task wrappers</li> <li>Remove some torch.jit usage in prep for official deprecation</li> <li>Caution added to AdamP optimizer</li> <li>Call reset_parameters() even if meta-device init so that buffers get init w/ hacks like init_empty_weights</li> <li>Tweak Muon optimizer to work with DTensor/FSDP2 (clamp_ instead of clamp_min_, alternate NS branch for DTensor)</li> <li>Release 1.0.25</li> </ul> <h2>Jan 21, 2026</h2> <ul> <li><strong>Compat Break</strong>: Fix oversight w/ QKV vs MLP bias in <code>ParallelScalingBlock</code> (& <code>DiffParallelScalingBlock</code>) <ul> <li>Does not impact any trained <code>timm</code> models but could impact downstream use.</li> </ul> </li> </ul> <h2>What's Changed</h2> <ul> <li>Token distill task & distill task refactoring by <a href="https://github.com/rwightman"><code>@rwightman</code></a> in <a href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2647">huggingface/pytorch-image-models#2647</a></li> <li>Fix distilled head dropout using wrong token in PiT forward_head by <a href="https://github.com/hassonofer"><code>@hassonofer</code></a> in <a href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2649">huggingface/pytorch-image-models#2649</a></li> <li>Fix <a href="https://redirect.github.com/huggingface/pytorch-image-models/issues/2653">#2653</a>, no models with weights impacted so just a clean fix by <a href="https://github.com/rwightman"><code>@rwightman</code></a> in <a href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2654">huggingface/pytorch-image-models#2654</a></li> <li>Add the cautious optimizer to AdamP. by <a href="https://github.com/Yuan-Jinghui"><code>@Yuan-Jinghui</code></a> in <a href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2657">huggingface/pytorch-image-models#2657</a></li> <li>Enhance the numerical stability of the Cautious Optimizer by <a href="https://github.com/Yuan-Jinghui"><code>@Yuan-Jinghui</code></a> in <a href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2658">huggingface/pytorch-image-models#2658</a></li> <li>Some misc fixes for torch.jit deprecation and meta device init by <a href="https://github.com/rwightman"><code>@rwightman</code></a> in <a href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2664">huggingface/pytorch-image-models#2664</a></li> <li>fix(optim): replace bare except with Exception in Lion optimizer by <a href="https://github.com/llukito"><code>@llukito</code></a> in <a href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2666">huggingface/pytorch-image-models#2666</a></li> <li>Change clamp_min_ to clamp_(min=) as former doesn't work with DTensor / FSDP2 by <a href="https://github.com/rwightman"><code>@rwightman</code></a> in <a href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2668">huggingface/pytorch-image-models#2668</a></li> <li>Add DTensor compatible NS impl for Muon by <a href="https://github.com/rwightman"><code>@rwightman</code></a> in <a href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2669">huggingface/pytorch-image-models#2669</a></li> </ul> <h2>New Contributors</h2> <ul> <li><a href="https://github.com/Yuan-Jinghui"><code>@Yuan-Jinghui</code></a> made their first contribution in <a href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2657">huggingface/pytorch-image-models#2657</a></li> <li><a href="https://github.com/llukito"><code>@llukito</code></a> made their first contribution in <a href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2666">huggingface/pytorch-image-models#2666</a></li> </ul> <p><strong>Full Changelog</strong>: <a href="https://github.com/huggingface/pytorch-image-models/compare/v1.0.24...v1.0.25">https://github.com/huggingface/pytorch-image-models/compare/v1.0.24...v1.0.25</a></p> </blockquote> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/huggingface/pytorch-image-models/commit/9326ff27f040ee15f9b64cc0c621d5d3d0915ae9"><code>9326ff2</code></a> Release 1.0.25</li> <li><a href="https://github.com/huggingface/pytorch-image-models/commit/75684faa04963f7311d7c0cf874c820e27c624d0"><code>75684fa</code></a> Add DTensor compatible NS impl for Muon</li> <li><a href="https://github.com/huggingface/pytorch-image-models/commit/feed46c9ac29fb476d003e0736c904b7ae2ad6c3"><code>feed46c</code></a> Change clamp_min_ to clamp_(min=) as former doesn't work with DTensor / FSDP2...</li> <li><a href="https://github.com/huggingface/pytorch-image-models/commit/56467ad5f2b443d454df1a5bb8b23c04697823c7"><code>56467ad</code></a> fix(optim): replace bare except with Exception in Lion optimizer</li> <li><a href="https://github.com/huggingface/pytorch-image-models/commit/41754f29d3f35d5921da3e45b02685b3d9408fca"><code>41754f2</code></a> Fix <a href="https://redirect.github.com/huggingface/pytorch-image-models/issues/2661">#2661</a> ... don't skip reset_parameters/init when meta device detected as i...</li> <li><a href="https://github.com/huggingface/pytorch-image-models/commit/bdab30b0eb1055cceb2f288c55084bb7f5dec693"><code>bdab30b</code></a> Remove torch.jit calls except for .ignore and .is_scripting to avoid 2.11 dep...</li> <li><a href="https://github.com/huggingface/pytorch-image-models/commit/9171d82efc525766706a00cd3d1f292af12f910a"><code>9171d82</code></a> Enhance the numerical stability of the Cautious Optimizer</li> <li><a href="https://github.com/huggingface/pytorch-image-models/commit/17b976408d0470da06858ba908b3cbd5c89aea7b"><code>17b9764</code></a> Add the test of cadamp</li> <li><a href="https://github.com/huggingface/pytorch-image-models/commit/ba85080efdf3112290c72b44a8f3823bf81b2173"><code>ba85080</code></a> Add cadamp optimizer to optimization factory</li> <li><a href="https://github.com/huggingface/pytorch-image-models/commit/a3643d20d21ed319570335b08007b6af6ce263d0"><code>a3643d2</code></a> Adding the cautious optimizer and the spherical cautious optimizer</li> <li>Additional commits viewable in <a href="https://github.com/huggingface/pytorch-image-models/compare/v1.0.24...v1.0.25">compare view</a></li> </ul> </details> <br /> [](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting `@dependabot rebase`. [//]: # (dependabot-automerge-start) [//]: # (dependabot-automerge-end) --- <details> <summary>Dependabot commands and options</summary> <br /> You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot show <dependency name> ignore conditions` will show all of the ignore conditions of the specified dependency - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself) </details> Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
…it#3386) Bumps [timm](https://github.com/huggingface/pytorch-image-models) from 1.0.24 to 1.0.25. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/huggingface/pytorch-image-models/releases">timm's releases</a>.</em></p> <blockquote> <h2>Release v1.0.25</h2> <h2>Feb 23, 2026</h2> <ul> <li>Add token distillation training support to distillation task wrappers</li> <li>Remove some torch.jit usage in prep for official deprecation</li> <li>Caution added to AdamP optimizer</li> <li>Call reset_parameters() even if meta-device init so that buffers get init w/ hacks like init_empty_weights</li> <li>Tweak Muon optimizer to work with DTensor/FSDP2 (clamp_ instead of clamp_min_, alternate NS branch for DTensor)</li> <li>Release 1.0.25</li> </ul> <h2>Jan 21, 2026</h2> <ul> <li><strong>Compat Break</strong>: Fix oversight w/ QKV vs MLP bias in <code>ParallelScalingBlock</code> (& <code>DiffParallelScalingBlock</code>) <ul> <li>Does not impact any trained <code>timm</code> models but could impact downstream use.</li> </ul> </li> </ul> <h2>What's Changed</h2> <ul> <li>Token distill task & distill task refactoring by <a href="https://github.com/rwightman"><code>@rwightman</code></a> in <a href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2647">huggingface/pytorch-image-models#2647</a></li> <li>Fix distilled head dropout using wrong token in PiT forward_head by <a href="https://github.com/hassonofer"><code>@hassonofer</code></a> in <a href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2649">huggingface/pytorch-image-models#2649</a></li> <li>Fix <a href="https://redirect.github.com/huggingface/pytorch-image-models/issues/2653">#2653</a>, no models with weights impacted so just a clean fix by <a href="https://github.com/rwightman"><code>@rwightman</code></a> in <a href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2654">huggingface/pytorch-image-models#2654</a></li> <li>Add the cautious optimizer to AdamP. by <a href="https://github.com/Yuan-Jinghui"><code>@Yuan-Jinghui</code></a> in <a href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2657">huggingface/pytorch-image-models#2657</a></li> <li>Enhance the numerical stability of the Cautious Optimizer by <a href="https://github.com/Yuan-Jinghui"><code>@Yuan-Jinghui</code></a> in <a href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2658">huggingface/pytorch-image-models#2658</a></li> <li>Some misc fixes for torch.jit deprecation and meta device init by <a href="https://github.com/rwightman"><code>@rwightman</code></a> in <a href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2664">huggingface/pytorch-image-models#2664</a></li> <li>fix(optim): replace bare except with Exception in Lion optimizer by <a href="https://github.com/llukito"><code>@llukito</code></a> in <a href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2666">huggingface/pytorch-image-models#2666</a></li> <li>Change clamp_min_ to clamp_(min=) as former doesn't work with DTensor / FSDP2 by <a href="https://github.com/rwightman"><code>@rwightman</code></a> in <a href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2668">huggingface/pytorch-image-models#2668</a></li> <li>Add DTensor compatible NS impl for Muon by <a href="https://github.com/rwightman"><code>@rwightman</code></a> in <a href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2669">huggingface/pytorch-image-models#2669</a></li> </ul> <h2>New Contributors</h2> <ul> <li><a href="https://github.com/Yuan-Jinghui"><code>@Yuan-Jinghui</code></a> made their first contribution in <a href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2657">huggingface/pytorch-image-models#2657</a></li> <li><a href="https://github.com/llukito"><code>@llukito</code></a> made their first contribution in <a href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2666">huggingface/pytorch-image-models#2666</a></li> </ul> <p><strong>Full Changelog</strong>: <a href="https://github.com/huggingface/pytorch-image-models/compare/v1.0.24...v1.0.25">https://github.com/huggingface/pytorch-image-models/compare/v1.0.24...v1.0.25</a></p> </blockquote> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/huggingface/pytorch-image-models/commit/9326ff27f040ee15f9b64cc0c621d5d3d0915ae9"><code>9326ff2</code></a> Release 1.0.25</li> <li><a href="https://github.com/huggingface/pytorch-image-models/commit/75684faa04963f7311d7c0cf874c820e27c624d0"><code>75684fa</code></a> Add DTensor compatible NS impl for Muon</li> <li><a href="https://github.com/huggingface/pytorch-image-models/commit/feed46c9ac29fb476d003e0736c904b7ae2ad6c3"><code>feed46c</code></a> Change clamp_min_ to clamp_(min=) as former doesn't work with DTensor / FSDP2...</li> <li><a href="https://github.com/huggingface/pytorch-image-models/commit/56467ad5f2b443d454df1a5bb8b23c04697823c7"><code>56467ad</code></a> fix(optim): replace bare except with Exception in Lion optimizer</li> <li><a href="https://github.com/huggingface/pytorch-image-models/commit/41754f29d3f35d5921da3e45b02685b3d9408fca"><code>41754f2</code></a> Fix <a href="https://redirect.github.com/huggingface/pytorch-image-models/issues/2661">#2661</a> ... don't skip reset_parameters/init when meta device detected as i...</li> <li><a href="https://github.com/huggingface/pytorch-image-models/commit/bdab30b0eb1055cceb2f288c55084bb7f5dec693"><code>bdab30b</code></a> Remove torch.jit calls except for .ignore and .is_scripting to avoid 2.11 dep...</li> <li><a href="https://github.com/huggingface/pytorch-image-models/commit/9171d82efc525766706a00cd3d1f292af12f910a"><code>9171d82</code></a> Enhance the numerical stability of the Cautious Optimizer</li> <li><a href="https://github.com/huggingface/pytorch-image-models/commit/17b976408d0470da06858ba908b3cbd5c89aea7b"><code>17b9764</code></a> Add the test of cadamp</li> <li><a href="https://github.com/huggingface/pytorch-image-models/commit/ba85080efdf3112290c72b44a8f3823bf81b2173"><code>ba85080</code></a> Add cadamp optimizer to optimization factory</li> <li><a href="https://github.com/huggingface/pytorch-image-models/commit/a3643d20d21ed319570335b08007b6af6ce263d0"><code>a3643d2</code></a> Adding the cautious optimizer and the spherical cautious optimizer</li> <li>Additional commits viewable in <a href="https://github.com/huggingface/pytorch-image-models/compare/v1.0.24...v1.0.25">compare view</a></li> </ul> </details> <br /> [](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting `@dependabot rebase`. [//]: # (dependabot-automerge-start) [//]: # (dependabot-automerge-end) --- <details> <summary>Dependabot commands and options</summary> <br /> You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot show <dependency name> ignore conditions` will show all of the ignore conditions of the specified dependency - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself) </details> Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
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