Bump the all-python-packages group across 1 directory with 23 updates #525

dependabot · 2025-12-08T09:29:30Z

Bumps the all-python-packages group with 20 updates in the / directory:

Package	From	To
accelerate	`1.10.1`	`1.12.0`
datasets	`4.2.0`	`4.4.1`
flwr	`1.22.0`	`1.24.0`
pyarrow	`21.0.0`	`22.0.0`
pydantic	`2.12.0`	`2.12.5`
pydantic-settings	`2.11.0`	`2.12.0`
torch	`2.8.0`	`2.9.1`
peft	`0.17.1`	`0.18.0`
transformers	`4.56.2`	`4.57.3`
sentence-transformers	`5.1.1`	`5.1.2`
grpcio	`1.75.1`	`1.76.0`
llama-index-core	`0.14.4`	`0.14.10`
langchain-core	`0.3.79`	`1.1.1`
black	`25.9.0`	`25.12.0`
mypy	`1.18.2`	`1.19.0`
pre-commit	`4.3.0`	`4.5.0`
pylint	`4.0.0`	`4.0.4`
pytest	`8.4.2`	`9.0.2`
ruff	`0.14.0`	`0.14.8`
mkdocs-material	`9.6.21`	`9.7.0`

Updates accelerate from 1.10.1 to 1.12.0

Release notes

Sourced from accelerate's releases.

v1.12.0: Deepspeed Ulysses/ALST

Deepspeed Ulysses/ALST integration

Deepspeed Ulysses/ALST is an efficient way of training on long sequences by employing sequence parallelism and attention head parallelism. You can learn more about this technology in this paper https://arxiv.org/abs/2506.13996 or this deepspeed tutorial https://www.deepspeed.ai/tutorials/ulysses-alst-sequence-parallelism/.

To enable Deepspeed Ulysses, you first need to create ParallelismConfig and setting sp related args:
parallelism_config = ParallelismConfig(
    sp_backend="deepspeed",
    sp_size=2,
    sp_handler=DeepSpeedSequenceParallelConfig(...),
)
Then, you need to make sure to compute the correct loss as described on our docs
        ...
        losses_per_rank = torch.distributed.nn.functional.all_gather(loss, group=sp_group)
        good_tokens = (shift_labels != -100).view(-1).sum()
        good_tokens_per_rank = torch.distributed.nn.functional.all_gather(good_tokens, group=sp_group)
        total_loss = sum(
            losses_per_rank[rank] * good_tokens_per_rank[rank]
            for rank in range(sp_world_size)
            if good_tokens_per_rank[rank] > 0
        )
        total_good_tokens = sum(good_tokens_per_rank)
        loss = total_loss / max(total_good_tokens, 1)
Thanks @S1ro1 for starting this work and for @stas00 for finishing this work. Also thanks @kashif for adding docs and reviewing/testing this PR !

This feature will also be available in HF Trainer thanks for this PR from @stas00: huggingface/transformers#41832

Minor changes

Remove warning for cpu_ram_efficient_loading by @SunMarc in huggingface/accelerate#3816

update typo in bnb quantisation 4bit flag docstring by @hbraith in huggingface/accelerate#3828

ArXiv -> HF Papers by @qgallouedec in huggingface/accelerate#3834

Fix typo in broadcast_object_list docstring by @wsntxxn in huggingface/accelerate#3823

[Bug] Update torch.optim.Optimizer parameter states after tensor parallelism by @naomili0924 in huggingface/accelerate#3835

use self hosted runner by @SunMarc in huggingface/accelerate#3841

device type helper by @kashif in huggingface/accelerate#3843

New Contributors

@hbraith made their first contribution in huggingface/accelerate#3828

... (truncated)

Commits

61ff833 Release: v1.12.0
e3655b9 device type helper (#3843)
c7e59dd Deepspeed Ulysses/ALST integration (#3817)
e8f241f use self hosted runner (#3841)
00b1b18 [Bug] Update torch.optim.Optimizer parameter states after tensor parallelism ...
a73fd3a Fix typo in broadcast_object_list docstring (#3823)
a08fb32 Change arxiv to hf papers (#3834)
61bcdaa update bnb quantisation 4bit flag (#3828)
a12beee Remove warning for cpu_ram_efficient_loading (#3816)
0a0c989 v1.12.0dev
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Updates datasets from 4.2.0 to 4.4.1

Release notes

Sourced from datasets's releases.

4.4.1

Bug fixes and improvements

Better streaming retries (504 and 429) by @lhoestq in huggingface/datasets#7847

DOC: remove mode parameter in docstring of pdf and video feature by @CloseChoice in huggingface/datasets#7848

Full Changelog: huggingface/datasets@4.4.0...4.4.1

4.4.0

Dataset Features
Add nifti support by @CloseChoice in huggingface/datasets#7815

Load medical imaging datasets from Hugging Face:
ds = load_dataset("username/my_nifti_dataset")
ds["train"][0]  # {"nifti": <nibabel.nifti1.Nifti1Image>}
Load medical imaging datasets from your disk:
files = ["/path/to/scan_001.nii.gz", "/path/to/scan_002.nii.gz"]
ds = Dataset.from_dict({"nifti": files}).cast_column("nifti", Nifti())
ds["train"][0]  # {"nifti": <nibabel.nifti1.Nifti1Image>}
Documentation: https://huggingface.co/docs/datasets/nifti_dataset
Add num channels to audio by @CloseChoice in huggingface/datasets#7840
# samples have shape (num_channels, num_samples)
ds = ds.cast_column("audio", Audio())  # default, use all channels
ds = ds.cast_column("audio", Audio(num_channels=2))  # use stereo
ds = ds.cast_column("audio", Audio(num_channels=1))  # use mono
Python 3.14 support by @lhoestq in huggingface/datasets#7836

What's Changed

Fix random seed on shuffle and interleave_datasets by @CloseChoice in huggingface/datasets#7823

fix ci compressionfs by @lhoestq in huggingface/datasets#7830

fix: better args passthrough for _batch_setitems() by @sghng in huggingface/datasets#7817

Fix: Properly render [!TIP] block in stream.shuffle documentation by @art-test-stack in huggingface/datasets#7833

resolves the ValueError: Unable to avoid copy while creating an array by @ArjunJagdale in huggingface/datasets#7831

fix column with transform by @lhoestq in huggingface/datasets#7843

support fsspec 2025.10.0 by @lhoestq in huggingface/datasets#7844

New Contributors

@sghng made their first contribution in huggingface/datasets#7817

@art-test-stack made their first contribution in huggingface/datasets#7833

... (truncated)

Commits

6a6983a release: 4.4.1 (#7849)
d32a1f7 DOC: remove mode parameter in docstring of pdf and video feature (#7848)
f2f58b3 Better streaming retries (504 and 429) (#7847)
5cb2925 set dev version (#7846)
232cb10 Release: 4.4.0 (#7845)
fc7f97c support fsspec 2025.10.0 (#7844)
03c16ec fix column with transform (#7843)
0e7c6ca Add num channels to audio (#7840)
8b1bd4e Python 3.14 (#7836)
9e5b0e6 resolves the ValueError: Unable to avoid copy while creating an array (#7831)
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Updates flwr from 1.22.0 to 1.24.0

Release notes

Sourced from flwr's releases.

Flower 1.24.0

Thanks to our contributors

We would like to give our special thanks to all the contributors who made the new version of Flower possible (in git shortlog order):

Charles Beauville, Chong Shen Ng, Daniel J. Beutel, Daniel Nata Nugraha, Heng Pan, Javier, Patrick Foley, Robert Steiner, Yan Gao

What's new?

Add Python 3.13 support (#6116, #6119, #6132)

flwr now supports Python 3.13, with CI and dataset tests updated accordingly and ray bumped to ensure compatibility.

Improve the flwr list view (#6117)

flwr list now shows fewer details by default, while providing expanded information when using the --run-id flag.

Extend federation commands and internal APIs (#6067, #6068, #6078, #6082, #6086, #6087, #6088, #6090, #6091, #6092, #6093, #6094, #6098, #6103, #6105, #6121, #6122, #6143, #6152, #6153, #6154, #6158, #6165, #6167)

These updates refine and extend the existing federation concept. flwr federation show and flwr federation list now provide clearer visibility into SuperNodes and runs in the default federation.

Introduce unified app heartbeat mechanism (#6204, #6206, #6209, #6210, #6212, #6213, #6214, #6215, #6218, #6219, #6221, #6224, #6225, #6226, #6227)

Introduces a unified heartbeat mechanism for app processes, preventing hangs when an app process crashes without responding. The new system enables flwr-serverapp and flwr-simulation processes to exit more quickly when a run is stopped by the flwr stop command.

Fix bugs (#6188, #6171, #6175, #6207)

Resolves issues causing occasional missing or unregistered object IDs on lower-powered machines, prevent the flwr-serverapp process from hanging after being stopped via the CLI, and correct the finished_at timestamp and initial heartbeat interval for runs.

Improve import performance (#6102)

Improve internal SQLite database performance (#6178, #6195)

Update CI workflows and development tooling (#5242, #6053, #6080, #6089, #6108, #6129, #6130, #6131, #6135, #6138, #6142, #6144, #6156, #6181, #6187, #6189)

Update documentation (#6115, #6081, #6110, #6137, #6146, #6169, #6179, #6228)

General improvements (#6077, #6083, #6084, #6095, #6097, #6100, #6101, #6109, #6114, #6123, #6127, #6139, #6140, #6150, #6151, #6157, #6159, #6160, #6162, #6164, #6172, #6173, #6174, #6180, #6190, #6191, #6192, #6193, #6196, #6197, #6198, #6199, #6200, #6202, #6203, #6205, #6208, #6211, #6222, #6223)

As always, many parts of the Flower framework and quality infrastructure were improved and updated.

Incompatible changes

Drop Python 3.9 support (#6118, #6136, #6147)

flwr now requires Python 3.10 as the minimum supported version, with baselines and development scripts updated accordingly.

Bump protobuf to 5.x (#6104)

Upgrades protobuf to >=5.29.0, ensuring flwr uses the latest gRPC stack and remains compatible with TensorFlow 2.20+. Note that this version is incompatible with TensorFlow versions earlier than 2.18.

... (truncated)

Commits

124e142 feat(framework): Update changelog for v1.24.0 release (#6163)
30509cc refactor(framework): Adjust exit code for simulations (#6227)
0f4ef59 fix(framework): Fix FLWRCLI_NODE_AUTH_PUBLIC_KEY_INVALID help message
8b2d96e fix(framework): Add key replacement to ensure backend config operates with `_...
800a264 feat(framework): Trigger graceful shutown for app processes when heartbeat fa...
df7f0b9 refactor(framework): Remove the old ServerApp heartbeat mechanism (#6225)
08e2897 feat(framework): Ensure cleanup when tokens expire in NodeState (#6224)
dd3c827 refactor(framework): Add ObjectStore to CoreState (#6223)
e4ce0ca feat(framework): Ensure cleanup when tokens expire in LinkState (#6215)
fe13b90 refactor(framework): Move the heartbeat.py to supercore from common (#6...
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Updates pyarrow from 21.0.0 to 22.0.0

Release notes

Sourced from pyarrow's releases.

Apache Arrow 22.0.0

Release Notes URL: https://arrow.apache.org/release/22.0.0.html

Apache Arrow 22.0.0 RC1

Release Notes: Release Candidate: 22.0.0 RC1

Apache Arrow 22.0.0 RC0

Release Notes: Release Candidate: 22.0.0 RC0

Commits

5aeb5f2 MINOR: [Release] Update versions for 22.0.0
81563ad MINOR: [Release] Update .deb/.rpm changelogs for 22.0.0
c505536 MINOR: [Release] Update CHANGELOG.md for 22.0.0
e04fafb GH-47838: [C++][Parquet] Set Variant specification version to 1 to align with...
07e4d5a GH-47819: [CI][Packaging][Release] Avoid triggering Linux packages on release...
e2fa94c GH-47809: [CI][Release] Fix Windows verification job trying to install patch ...
2140934 GH-47738: [R] Update NEWS.md for 22.0.0 (#47739)
08f5304 GH-47803: [C++][Parquet] Fix read out of bounds on invalid RLE data (#47804)
d5b8e2b GH-47438: [Python][Packaging] Set up wheel building for Python 3.14 (#47616)
618f609 GH-47795: [Archery] Add support for custom Docker registry (#47796)
Additional commits viewable in compare view

Updates pydantic from 2.12.0 to 2.12.5

Release notes

Sourced from pydantic's releases.

v2.12.5 2025-11-26

v2.12.5 (2025-11-26)

This is the fifth 2.12 patch release, addressing an issue with the MISSING sentinel and providing several documentation improvements.

The next 2.13 minor release will be published in a couple weeks, and will include a new polymorphic serialization feature addressing the remaining unexpected changes to the serialize as any behavior.

Fix pickle error when using model_construct() on a model with MISSING as a default value by @ornariece in #12522.

Several updates to the documentation by @Viicos.

Full Changelog: pydantic/pydantic@v2.12.4...v2.12.5

v2.12.4 2025-11-05

v2.12.4 (2025-11-05)

This is the fourth 2.12 patch release, fixing more regressions, and reverting a change in the build() method of the AnyUrl and Dsn types.

This patch release also fixes an issue with the serialization of IP address types, when serialize_as_any is used. The next patch release will try to address the remaining issues with serialize as any behavior by introducing a new polymorphic serialization feature, that should be used in most cases in place of serialize as any.

Fix issue with forward references in parent TypedDict classes by @Viicos in #12427.

This issue is only relevant on Python 3.14 and greater.

Exclude fields with exclude_if from JSON Schema required fields by @Viicos in #12430

Revert URL percent-encoding of credentials in the build() method of the AnyUrl and Dsn types by @davidhewitt in pydantic-core#1833.

This was initially considered as a bugfix, but caused regressions and as such was fully reverted. The next release will include an opt-in option to percent-encode components of the URL.

Add type inference for IP address types by @davidhewitt in pydantic-core#1868.

The 2.12 changes to the serialize_as_any behavior made it so that IP address types could not properly serialize to JSON.

Avoid getting default values from defaultdict by @davidhewitt in pydantic-core#1853.

This fixes a subtle regression in the validation behavior of the collections.defaultdict type.

Fix issue with field serializers on nested typed dictionaries by @davidhewitt in pydantic-core#1879.

Add more pydantic-core builds for the three-threaded version of Python 3.14 by @davidhewitt in pydantic-core#1864.

Full Changelog: pydantic/pydantic@v2.12.3...v2.12.4

v2.12.3 2025-10-17

v2.12.3 (2025-10-17)

What's Changed

This is the third 2.13 patch release, fixing issues related to the FieldInfo class, and reverting a change to the supported after model validator function signatures.

... (truncated)

Changelog

Sourced from pydantic's changelog.

v2.12.5 (2025-11-26)

GitHub release

This is the fifth 2.12 patch release, addressing an issue with the MISSING sentinel and providing several documentation improvements.

The next 2.13 minor release will be published in a couple weeks, and will include a new polymorphic serialization feature addressing the remaining unexpected changes to the serialize as any behavior.

Fix pickle error when using model_construct() on a model with MISSING as a default value by @ornariece in #12522.

Several updates to the documentation by @Viicos.

v2.12.4 (2025-11-05)

GitHub release

This is the fourth 2.12 patch release, fixing more regressions, and reverting a change in the build() method of the AnyUrl and Dsn types.

This patch release also fixes an issue with the serialization of IP address types, when serialize_as_any is used. The next patch release will try to address the remaining issues with serialize as any behavior by introducing a new polymorphic serialization feature, that should be used in most cases in place of serialize as any.

Fix issue with forward references in parent TypedDict classes by @Viicos in #12427.

This issue is only relevant on Python 3.14 and greater.

Exclude fields with exclude_if from JSON Schema required fields by @Viicos in #12430

Revert URL percent-encoding of credentials in the build() method of the AnyUrl and Dsn types by @davidhewitt in pydantic-core#1833.

This was initially considered as a bugfix, but caused regressions and as such was fully reverted. The next release will include an opt-in option to percent-encode components of the URL.

Add type inference for IP address types by @davidhewitt in pydantic-core#1868.

The 2.12 changes to the serialize_as_any behavior made it so that IP address types could not properly serialize to JSON.

Avoid getting default values from defaultdict by @davidhewitt in pydantic-core#1853.

This fixes a subtle regression in the validation behavior of the collections.defaultdict type.

Fix issue with field serializers on nested typed dictionaries by @davidhewitt in pydantic-core#1879.

Add more pydantic-core builds for the three-threaded version of Python 3.14 by @davidhewitt in pydantic-core#1864.

v2.12.3 (2025-10-17)

GitHub release

... (truncated)

Commits

bd2d0dd Prepare release v2.12.5
7d0302e Document security implications when using create_model()
e9ef980 Fix typo in Standard Library Types documentation
f2c20c0 Add pydantic-docs dev dependency, make use of versioning blocks
a76c1aa Update documentation about JSON Schema
8cbc72c Add documentation about custom __init__()
99eba59 Add additional test for FieldInfo.get_default()
c710769 Special case MISSING sentinel in smart_deepcopy()
20a9d77 Do not delete mock validator/serializer in rebuild_dataclass()
c86515a Update parts of the model and revalidate_instances documentation
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Updates pydantic-settings from 2.11.0 to 2.12.0

Release notes

Sourced from pydantic-settings's releases.

v2.12.0

What's Changed

Support for enum kebab case. by @kschwab in pydantic/pydantic-settings#686

Apply source order: init > env > dotenv > secrets > defaults and pres… by @chbndrhnns in pydantic/pydantic-settings#688

Add NestedSecretsSettings source by @makukha in pydantic/pydantic-settings#690

Strip non-explicit default values. by @kschwab in pydantic/pydantic-settings#692

Coerce env vars if strict is True. by @kschwab in pydantic/pydantic-settings#693

Restore init kwarg names before returning final state dictionary. by @kschwab in pydantic/pydantic-settings#700

Drop Python3.9 support by @hramezani in pydantic/pydantic-settings#699

Adapt test_protected_namespace_defaults for dev. Pydantic by @musicinmybrain in pydantic/pydantic-settings#637

Add Python 3.14 by @hramezani in pydantic/pydantic-settings#704

Prepare release 2.12 by @hramezani in pydantic/pydantic-settings#705

New Contributors

@chbndrhnns made their first contribution in pydantic/pydantic-settings#688

Full Changelog: pydantic/pydantic-settings@v2.11.0...v2.12.0

Commits

584983d Prepare release 2.12 (#705)
6b4d87e Add Python 3.14 (#704)
02de5b6 Adapt test_protected_namespace_defaults for dev. Pydantic (#637)
4239ea4 Drop Python3.9 support (#699)
5008c69 Restore init kwarg names before returning final state dictionary. (#700)
4433101 Coerce env vars if strict is True. (#693)
4d2ebfd Strip non-explicit default values. (#692)
4a6ffca Add NestedSecretsSettings source (#690)
7a6e96e Apply source order: init > env > dotenv > secrets > defaults and pres… (#688)
68563ed Support for enum kebab case. (#686)
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Updates torch from 2.8.0 to 2.9.1

Release notes

Sourced from torch's releases.

PyTorch 2.9.1 Release, bug fix release

This release is meant to fix the following issues (regressions / silent correctness):

Tracked Regressions

Significant Memory Regression in F.conv3d with bfloat16 Inputs in PyTorch 2.9.0 (#166643) This release provides work around this issue. If you are impacted please install nvidia-cudnn package version 9.15+ from pypi. (#166480) (#167111)

Torch.compile

Fix Inductor bug when compiling Gemma (#165601) Fix InternalTorchDynamoError in bytecode_transformation (#166036) Fix silent correctness error_on_graph_break bug where non-empty checkpoint results in unwanted graph break resumption (#166586) Improve performance by avoiding recompilation with mark_static_address with cudagraphs (#162208) Improve performance by caching get_free_symbol_uses in torch inductor (#166338) Fix fix registration design for inductor graph partition for vLLM (#166458) (#165815) (#165514) Fix warning spamming in torch.compile (#166993) Fix exception related to uninitialized tracer_output variable (#163169) Fix crash in torch.bmm and torch.compile with PyTorch release 2.9.0 (#166457)

Other

Fix warning spamming on new APIs to control TF32 behavior (#166956) Fix distributed crash with non-contiguous gather inputs (#166181) Fix indexing on large tensor causes invalid configuration argument (#166974) Fix numeric issue in CUDNN_ATTENTION (#166912) (#166570) Fix symmetric memory issue with fused_scaled_matmul_reduce_scatter (#165086) Improve libtorch stable ABI documentation (#163899) Fix image display on pypi project description section (#166404)

2.9 Release Notes

PyTorch 2.9.0 Release Notes

Highlights

Backwards Incompatible Changes

Deprecations

New Features

Improvements

Bug fixes

Performance

Documentation

Developers

Security

Highlights

... (truncated)

Commits

d38164a Enable Doc builds for: Minor Releases RCs. Minor and Patch Releases final RC ...
b002562 Add doc for Symmetric Memory (#167477)
5811a8d [cuDNN][SDPA][Convolution] Expose cuDNN runtime version in CUDA hooks (#167327)
f36c764 [dynamo][ez] Initialize tracer_output to None by default. (#167366)
6877288 Change forkserver test to only run below 3.13.8 (#167361)
9976b77 Cherry-pick LibTorch Stable ABI documentation (#167112 #166661 #163899) (#167...
e6bcbbe [Inductor] No longer throw error in bmm out_dtype lowering due to tem… (#166922)
8f658d7 don't produce invalid grid configs (#166973) (#167158)
3d27d95 [GraphPartition] cache get_free_symbol_uses (#166338) (#166994)
a06141f Delete deprecated fp32 precision warnings (#166956) (#166998)
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Updates torchvision from 0.23.0 to 0.24.1

Release notes

Sourced from torchvision's releases.

TorchVision 0.24.1 Release

This is a patch release, which is compatible with PyTorch 2.9.1. There are no new features added.

Torchvision 0.24 release

Improving KeyPoints and Rotated boxes support!

We are releasing a tutorial on how to use KeyPoint transformations in our Transforms on KeyPoints with a preview below!

[!NOTE] These features are still in BETA status. The API are unlikely to change, but we may have some rough edges and we may make some slight bug fixes in future releases. Please let us know if you encounter any issue!

Detailed changes

Improvements

[ops] Improve efficiency of the box_area and box_iou functions by eliminating the intermediate to "xyxy" conversion (#8992) [ops] Update box operations to support arbitrary batch dimensions (#9058) [utils] Add control for the background color of label text boxes (#9204) [transforms] Add support for uint8 image format to the GaussianNoise transform (#9169) [transforms] Accelerate the resize transform on machines with AVX512 (#9190) [transforms] Better error handling in RandomApply for empty list of transforms (#9130) [documentation] New tutorial for KeyPoints transforms (#9209) [documentation] Various documentation improvements (#9186, #9180, #9172) [code quality] Various code quality improvements (#9193, #9161, #9201, #9218, #9160)

Bug Fixes and deprecations

[transforms] Fix output of some geometric transforms for rotated boxes (#9181, #9175) [transforms] Fix clamping for key points and add sanitization feature (#9236, #9235) [datasets] Update download links to official repo for the Caltech-101 & 256 datasets (#9205) [ops] Raise error in drop_block[2,3]d by enforcing odd-sized block sizes (#9157) [io] Removed deprecated video_reader video decoding backend. (#9208)

Contributors

🎉 We're grateful for our community, which helps us improve Torchvision by submitting issues and PRs, and providing feedback and suggestions. The following persons have contributed patches for this release: @alperenunlu, @AndreiMoraru123, @atalman, @AntoineSimoulin, @5had3z, @dcasbol, @GdoongMathew, @hrsvrn, @JonasKlotz, @zklaus, @NicolasHug, @rdong8, @scotts, @get9, @diaz-esparza, @ZainRizvi, @Callidior, and @pytorch/xla-devs

Commits

d801a34 [release-only] bump version to 0.24.1
7a9db90 Update min version to 3.10 for release 2.9 (#9239) (#9240)
0429d73 [release/0.24] cherrypicks for keypoints fix (#9238)
b919bd0 [release/0.24] cherrypicks for windows failing jobs (#9230)

Bumps the all-python-packages group with 20 updates in the / directory: | Package | From | To | | --- | --- | --- | | [accelerate](https://github.com/huggingface/accelerate) | `1.10.1` | `1.12.0` | | [datasets](https://github.com/huggingface/datasets) | `4.2.0` | `4.4.1` | | [flwr](https://github.com/adap/flower) | `1.22.0` | `1.24.0` | | [pyarrow](https://github.com/apache/arrow) | `21.0.0` | `22.0.0` | | [pydantic](https://github.com/pydantic/pydantic) | `2.12.0` | `2.12.5` | | [pydantic-settings](https://github.com/pydantic/pydantic-settings) | `2.11.0` | `2.12.0` | | [torch](https://github.com/pytorch/pytorch) | `2.8.0` | `2.9.1` | | [peft](https://github.com/huggingface/peft) | `0.17.1` | `0.18.0` | | [transformers](https://github.com/huggingface/transformers) | `4.56.2` | `4.57.3` | | [sentence-transformers](https://github.com/huggingface/sentence-transformers) | `5.1.1` | `5.1.2` | | [grpcio](https://github.com/grpc/grpc) | `1.75.1` | `1.76.0` | | [llama-index-core](https://github.com/run-llama/llama_index) | `0.14.4` | `0.14.10` | | [langchain-core](https://github.com/langchain-ai/langchain) | `0.3.79` | `1.1.1` | | [black](https://github.com/psf/black) | `25.9.0` | `25.12.0` | | [mypy](https://github.com/python/mypy) | `1.18.2` | `1.19.0` | | [pre-commit](https://github.com/pre-commit/pre-commit) | `4.3.0` | `4.5.0` | | [pylint](https://github.com/pylint-dev/pylint) | `4.0.0` | `4.0.4` | | [pytest](https://github.com/pytest-dev/pytest) | `8.4.2` | `9.0.2` | | [ruff](https://github.com/astral-sh/ruff) | `0.14.0` | `0.14.8` | | [mkdocs-material](https://github.com/squidfunk/mkdocs-material) | `9.6.21` | `9.7.0` | Updates `accelerate` from 1.10.1 to 1.12.0 - [Release notes](https://github.com/huggingface/accelerate/releases) - [Commits](huggingface/accelerate@v1.10.1...v1.12.0) Updates `datasets` from 4.2.0 to 4.4.1 - [Release notes](https://github.com/huggingface/datasets/releases) - [Commits](huggingface/datasets@4.2.0...4.4.1) Updates `flwr` from 1.22.0 to 1.24.0 - [Release notes](https://github.com/adap/flower/releases) - [Changelog](https://github.com/adap/flower/blob/main/CHANGELOG.md) - [Commits](adap/flower@v1.22.0...v1.24.0) Updates `pyarrow` from 21.0.0 to 22.0.0 - [Release notes](https://github.com/apache/arrow/releases) - [Commits](apache/arrow@apache-arrow-21.0.0...apache-arrow-22.0.0) Updates `pydantic` from 2.12.0 to 2.12.5 - [Release notes](https://github.com/pydantic/pydantic/releases) - [Changelog](https://github.com/pydantic/pydantic/blob/main/HISTORY.md) - [Commits](pydantic/pydantic@v2.12.0...v2.12.5) Updates `pydantic-settings` from 2.11.0 to 2.12.0 - [Release notes](https://github.com/pydantic/pydantic-settings/releases) - [Commits](pydantic/pydantic-settings@v2.11.0...v2.12.0) Updates `torch` from 2.8.0 to 2.9.1 - [Release notes](https://github.com/pytorch/pytorch/releases) - [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md) - [Commits](pytorch/pytorch@v2.8.0...v2.9.1) Updates `torchvision` from 0.23.0 to 0.24.1 - [Release notes](https://github.com/pytorch/vision/releases) - [Commits](pytorch/vision@0.23.0...v0.24.1) Updates `peft` from 0.17.1 to 0.18.0 - [Release notes](https://github.com/huggingface/peft/releases) - [Commits](huggingface/peft@v0.17.1...v0.18.0) Updates `transformers` from 4.56.2 to 4.57.3 - [Release notes](https://github.com/huggingface/transformers/releases) - [Commits](huggingface/transformers@v4.56.2...v4.57.3) Updates `sentence-transformers` from 5.1.1 to 5.1.2 - [Release notes](https://github.com/huggingface/sentence-transformers/releases) - [Commits](huggingface/sentence-transformers@v5.1.1...v5.1.2) Updates `grpcio` from 1.75.1 to 1.76.0 - [Release notes](https://github.com/grpc/grpc/releases) - [Commits](grpc/grpc@v1.75.1...v1.76.0) Updates `llama-index-core` from 0.14.4 to 0.14.10 - [Release notes](https://github.com/run-llama/llama_index/releases) - [Changelog](https://github.com/run-llama/llama_index/blob/main/CHANGELOG.md) - [Commits](run-llama/llama_index@v0.14.4...v0.14.10) Updates `langchain-core` from 0.3.79 to 1.1.1 - [Release notes](https://github.com/langchain-ai/langchain/releases) - [Commits](langchain-ai/langchain@langchain-core==0.3.79...langchain-core==1.1.1) Updates `unsloth` from 2025.10.1 to 2025.9.5 - [Release notes](https://github.com/unslothai/unsloth/releases) - [Commits](https://github.com/unslothai/unsloth/commits) Updates `black` from 25.9.0 to 25.12.0 - [Release notes](https://github.com/psf/black/releases) - [Changelog](https://github.com/psf/black/blob/main/CHANGES.md) - [Commits](psf/black@25.9.0...25.12.0) Updates `mypy` from 1.18.2 to 1.19.0 - [Changelog](https://github.com/python/mypy/blob/master/CHANGELOG.md) - [Commits](python/mypy@v1.18.2...v1.19.0) Updates `pre-commit` from 4.3.0 to 4.5.0 - [Release notes](https://github.com/pre-commit/pre-commit/releases) - [Changelog](https://github.com/pre-commit/pre-commit/blob/main/CHANGELOG.md) - [Commits](pre-commit/pre-commit@v4.3.0...v4.5.0) Updates `pylint` from 4.0.0 to 4.0.4 - [Release notes](https://github.com/pylint-dev/pylint/releases) - [Commits](pylint-dev/pylint@v4.0.0...v4.0.4) Updates `pytest` from 8.4.2 to 9.0.2 - [Release notes](https://github.com/pytest-dev/pytest/releases) - [Changelog](https://github.com/pytest-dev/pytest/blob/main/CHANGELOG.rst) - [Commits](pytest-dev/pytest@8.4.2...9.0.2) Updates `pytest-asyncio` from 1.2.0 to 1.3.0 - [Release notes](https://github.com/pytest-dev/pytest-asyncio/releases) - [Commits](pytest-dev/pytest-asyncio@v1.2.0...v1.3.0) Updates `ruff` from 0.14.0 to 0.14.8 - [Release notes](https://github.com/astral-sh/ruff/releases) - [Changelog](https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md) - [Commits](astral-sh/ruff@0.14.0...0.14.8) Updates `mkdocs-material` from 9.6.21 to 9.7.0 - [Release notes](https://github.com/squidfunk/mkdocs-material/releases) - [Changelog](https://github.com/squidfunk/mkdocs-material/blob/master/CHANGELOG) - [Commits](squidfunk/mkdocs-material@9.6.21...9.7.0) --- updated-dependencies: - dependency-name: accelerate dependency-version: 1.12.0 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: all-python-packages - dependency-name: datasets dependency-version: 4.4.1 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: all-python-packages - dependency-name: flwr dependency-version: 1.24.0 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: all-python-packages - dependency-name: pyarrow dependency-version: 22.0.0 dependency-type: direct:production update-type: version-update:semver-major dependency-group: all-python-packages - dependency-name: pydantic dependency-version: 2.12.5 dependency-type: direct:production update-type: version-update:semver-patch dependency-group: all-python-packages - dependency-name: pydantic-settings dependency-version: 2.12.0 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: all-python-packages - dependency-name: torch dependency-version: 2.9.1 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: all-python-packages - dependency-name: torchvision dependency-version: 0.24.1 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: all-python-packages - dependency-name: peft dependency-version: 0.18.0 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: all-python-packages - dependency-name: transformers dependency-version: 4.57.3 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: all-python-packages - dependency-name: sentence-transformers dependency-version: 5.1.2 dependency-type: direct:production update-type: version-update:semver-patch dependency-group: all-python-packages - dependency-name: grpcio dependency-version: 1.76.0 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: all-python-packages - dependency-name: llama-index-core dependency-version: 0.14.10 dependency-type: direct:production update-type: version-update:semver-patch dependency-group: all-python-packages - dependency-name: langchain-core dependency-version: 1.1.1 dependency-type: direct:production update-type: version-update:semver-major dependency-group: all-python-packages - dependency-name: unsloth dependency-version: 2025.9.5 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: all-python-packages - dependency-name: black dependency-version: 25.12.0 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: all-python-packages - dependency-name: mypy dependency-version: 1.19.0 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: all-python-packages - dependency-name: pre-commit dependency-version: 4.5.0 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: all-python-packages - dependency-name: pylint dependency-version: 4.0.4 dependency-type: direct:production update-type: version-update:semver-patch dependency-group: all-python-packages - dependency-name: pytest dependency-version: 9.0.2 dependency-type: direct:production update-type: version-update:semver-major dependency-group: all-python-packages - dependency-name: pytest-asyncio dependency-version: 1.3.0 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: all-python-packages - dependency-name: ruff dependency-version: 0.14.8 dependency-type: direct:production update-type: version-update:semver-patch dependency-group: all-python-packages - dependency-name: mkdocs-material dependency-version: 9.7.0 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: all-python-packages ... 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Bump the all-python-packages group across 1 directory with 23 updates #525

Bump the all-python-packages group across 1 directory with 23 updates #525

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Bump the all-python-packages group across 1 directory with 23 updates #525

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v1.12.0: Deepspeed Ulysses/ALST

Deepspeed Ulysses/ALST integration

Minor changes

New Contributors

4.4.1

Bug fixes and improvements

4.4.0

Dataset Features

What's Changed

New Contributors

Flower 1.24.0

Thanks to our contributors

What's new?

Incompatible changes

Apache Arrow 22.0.0

Apache Arrow 22.0.0 RC1

Apache Arrow 22.0.0 RC0

v2.12.5 2025-11-26

v2.12.5 (2025-11-26)

v2.12.4 2025-11-05

v2.12.4 (2025-11-05)

v2.12.3 2025-10-17

v2.12.3 (2025-10-17)

What's Changed

v2.12.5 (2025-11-26)

v2.12.4 (2025-11-05)

v2.12.3 (2025-10-17)

v2.12.0

What's Changed

New Contributors

PyTorch 2.9.1 Release, bug fix release

Tracked Regressions

Torch.compile

Other

2.9 Release Notes

PyTorch 2.9.0 Release Notes

Highlights

TorchVision 0.24.1 Release

Torchvision 0.24 release

Improving KeyPoints and Rotated boxes support!

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