#12334: Support for Python 3.13 (beta1 at the time of writing).
Bug Fixes
#12120: Fix [PermissionError]{.title-ref} crashes arising from directories which are not selected on the command-line.
#12191: Keyboard interrupts and system exits are now properly handled during the test collection.
#12300: Fixed handling of 'Function not implemented' error under squashfuse_ll, which is a different way to say that the mountpoint is read-only.
#12308: Fix a regression in pytest 8.2.0 where the permissions of automatically-created .pytest_cache directories became rwx------ instead of the expected rwxr-xr-x.
Trivial/Internal Changes
#12333: pytest releases are now attested using the recent Artifact Attestation support from GitHub, allowing users to verify the provenance of pytest's sdist and wheel artifacts.
TLDR; Phi-3 introduces new ROPE scaling methods, which seems to scale fairly well! A 3b and a
Phi-3-mini is available in two context-length variants—4K and 128K tokens. It is the first model in its class to support a context window of up to 128K tokens, with little impact on quality.
JetMoe-8B is an 8B Mixture-of-Experts (MoE) language model developed by Yikang Shen and MyShell. JetMoe project aims to provide a LLaMA2-level performance and efficient language model with a limited budget. To achieve this goal, JetMoe uses a sparsely activated architecture inspired by the ModuleFormer. Each JetMoe block consists of two MoE layers: Mixture of Attention Heads and Mixture of MLP Experts. Given the input tokens, it activates a subset of its experts to process them. This sparse activation schema enables JetMoe to achieve much better training throughput than similar size dense models. The training throughput of JetMoe-8B is around 100B tokens per day on a cluster of 96 H100 GPUs with a straightforward 3-way pipeline parallelism strategy.
PaliGemma is a lightweight open vision-language model (VLM) inspired by PaLI-3, and based on open components like the SigLIP vision model and the Gemma language model. PaliGemma takes both images and text as inputs and can answer questions about images with detail and context, meaning that PaliGemma can perform deeper analysis of images and provide useful insights, such as captioning for images and short videos, object detection, and reading text embedded within images.
More than 120 checkpoints are released see the collection here !
Video-LLaVA exhibits remarkable interactive capabilities between images and videos, despite the absence of image-video pairs in the dataset.
💡 Simple baseline, learning united visual representation by alignment before projection
With the binding of unified visual representations to the language feature space, we enable an LLM to perform visual reasoning capabilities on both images and videos simultaneously.
🔥 High performance, complementary learning with video and image
Extensive experiments demonstrate the complementarity of modalities, showcasing significant superiority when compared to models specifically designed for either images or videos.
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Bumps the dependencies group with 4 updates in the / directory: pyarrow, ruff, pytest and transformers.
Updates
pyarrowfrom 16.0.0 to 16.1.0Commits
7dd1d34MINOR: [Release] Update versions for 16.1.0ca3e9d1MINOR: [Release] Update .deb/.rpm changelogs for 16.1.063a4287MINOR: [Release] Update CHANGELOG.md for 16.1.05874287GH-41594: [Go] Support readingdate64type & properly validate list-like ty...81940c6GH-41431: [C++][Parquet][Dataset] Fix repeated scan on encrypted dataset (#41...be62f6cGH-41577: [Java][Packaging] Add org.apache.arrow.memory.core to --add-opens=j...6cfebb9GH-41562: [C++][Parquet] Decoding: Fix num_value handling in ByteStreamSplitD...dcfecebGH-41140: [C#] Account for offset and length in union arrays (#41165)b28633cMINOR: [Release] Manually commit fix to avoid cherry-pick conflict for changi...ac8af22GH-41566: [CI][Packaging] macOS wheel for Catalina fails to build on macOS ar...Updates
rufffrom 0.4.3 to 0.4.4Release notes
Sourced from ruff's releases.
Changelog
Sourced from ruff's changelog.
Commits
3e8878aBump version to v0.4.4 (#11352)b6b4ad9[red-knot]@overridelint rule (#11282)dd42961[pylint] Detectpathlib.Path.opencalls inunspecified-encoding(`PLW15...c80c171[red-knot] Vendor typeshed's stdlib (#11340)e2fe177Revert "Simplify arithmetic operation in logical lines checker (#11346)" (#11...e9d1cddSimplify arithmetic operation in logical lines checker (#11346)dfe4291Improveruff_python_semantic::all::extract_all_names()(#11335)4541337[red-knot] Remove\<Db: SemanticDb>contraints in favor of dynamic dispatch ...8e9ddeeIgnore end-of-line comments when determining blank line rules (#11342)702d2faMake B024 and B027 documentation more nuanced (#11341)Updates
pytestfrom 8.2.0 to 8.2.1Release notes
Sourced from pytest's releases.
Commits
66ff8dfPrepare release version 8.2.13ffcfd1Merge pull request #12340 from pytest-dev/backport-12334-to-8.2.x0b28313[8.2.x] Add Python 3.13 (beta) supportf3dd93a[8.2.x] Attest package provenance (#12335)bb5a125[8.2.x] Spelling (#12331)f179bf2Merge pull request #12327 from pytest-dev/backport-12325-to-8.2.x2b671b5[8.2.x] cacheprovider: fix.pytest_cachenot being world-readable65ab7cbMerge pull request #12324 from pytest-dev/backport-12320-to-8.2.x4d5fb7dMerge pull request #12319 from pytest-dev/backport-12311-to-8.2.xcbe5996[8.2.x] changelog: document unittest 8.2 change as breakingUpdates
transformersfrom 4.40.2 to 4.41.0Release notes
Sourced from transformers's releases.
... (truncated)
Commits
4c6c45bRelease: v4.41.0e9a8041update release script (#30880)0a9300fSupport arbitrary processor (#30875)57edd84[whisper] fix multilingual fine-tuning (#30865)977ce58Fix dependencies for image classification example (#30842)3802e78Enable device map (#30870)57c965aRemove deprecated logic and warnings (#30743)3d7d3a8TEST: Add llama logits tests (#30835)15c74a2Fix VideoLlava imports (#30867)4e17e7dTST / Quantization: Reverting to torch==2.2.1 (#30866)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
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