Bump the all-python-packages group across 1 directory with 23 updates by dependabot[bot] · Pull Request #533 · VectorInstitute/fed-rag

dependabot · 2026-02-23T09:31:02Z

Bumps the all-python-packages group with 18 updates in the / directory:

Package	From	To
accelerate	`1.10.1`	`1.12.0`
datasets	`4.2.0`	`4.5.0`
flwr	`1.22.0`	`1.26.1`
pyarrow	`21.0.0`	`23.0.1`
pydantic	`2.12.0`	`2.12.5`
pydantic-settings	`2.11.0`	`2.13.1`
torch	`2.8.0`	`2.10.0`
peft	`0.17.1`	`0.18.1`
transformers	`4.56.2`	`5.2.0`
grpcio	`1.75.1`	`1.78.1`
llama-index-core	`0.14.4`	`0.14.15`
langchain-core	`0.3.79`	`1.2.14`
isort	`7.0.0`	`8.0.0`
mypy	`1.18.2`	`1.19.1`
pre-commit	`4.3.0`	`4.5.1`
pytest	`8.4.2`	`9.0.2`
ruff	`0.14.0`	`0.15.2`
mkdocs-material	`9.6.21`	`9.7.2`

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
Additional commits viewable in compare view

Updates datasets from 4.2.0 to 4.5.0

Release notes

Sourced from datasets's releases.

4.5.0

Dataset Features
Add lance format support by @eddyxu in huggingface/datasets#7913

Support for both Lance dataset (including metadata / manifests) and standalone .lance files

e.g. with lance-format/fineweb-edu
from datasets import load_dataset
ds = load_dataset("lance-format/fineweb-edu", streaming=True)
for example in ds["train"]:
...
What's Changed

Raise early for invalid revision in load_dataset by @Scott-Simmons in huggingface/datasets#7929

fix low but large example indexerror by @CloseChoice in huggingface/datasets#7912

Fix method to retrieve attributes from file object by @lhoestq in huggingface/datasets#7938

add _OverridableIOWrapper by @lhoestq in huggingface/datasets#7942

Add _generate_shards by @lhoestq in huggingface/datasets#7943

New Contributors

@eddyxu made their first contribution in huggingface/datasets#7913

@Scott-Simmons made their first contribution in huggingface/datasets#7929

Full Changelog: huggingface/datasets@4.4.2...4.5.0

4.4.2

Bug fixes

Fix embed storage nifti by @CloseChoice in huggingface/datasets#7853

ArXiv -> HF Papers by @qgallouedec in huggingface/datasets#7855

fix some broken links by @julien-c in huggingface/datasets#7859

Nifti visualization support by @CloseChoice in huggingface/datasets#7874

Replace papaya with niivue by @CloseChoice in huggingface/datasets#7878

Fix 7846: add_column and add_item erroneously(?) require new_fingerprint parameter by @sajmaru in huggingface/datasets#7884

fix(fingerprint): treat TMPDIR as strict API and fail (Issue #7877) by @ada-ggf25 in huggingface/datasets#7891

encode nifti correctly when uploading lazily by @CloseChoice in huggingface/datasets#7892

fix(nifti): enable lazy loading for Nifti1ImageWrapper by @The-Obstacle-Is-The-Way in huggingface/datasets#7887

Minor additions

Add type overloads to load_dataset for better static type inference by @Aditya2755 in huggingface/datasets#7888

Add inspect_ai eval logs support by @lhoestq in huggingface/datasets#7899

Save input shard lengths by @lhoestq in huggingface/datasets#7897

Don't save original_shard_lengths by default for backward compat by @lhoestq in huggingface/datasets#7906

New Contributors

@sajmaru made their first contribution in huggingface/datasets#7884

@Aditya2755 made their first contribution in huggingface/datasets#7888

@ada-ggf25 made their first contribution in huggingface/datasets#7891

... (truncated)

Commits

69d773a Release: 4.5.0 (#7944)
dc98f97 Add _generate_shards (#7943)
38d28bf add _OverridableIOWrapper (#7942)
7431153 Fix method to retrieve attributes from file object (#7938)
6a1bc35 fix low but large example indexerror (#7912)
7bdf840 Raise early for invalid revision in load_dataset (#7929)
06b6e02 Add lance format support (#7913)
0feb65d set dev version (#7908)
37d9615 release: 4.4.2 (#7907)
58dda42 Don't save original_shard_lengths by default for backward compat (#7906)
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Updates flwr from 1.22.0 to 1.26.1

Release notes

Sourced from flwr's releases.

Flower 1.26.1

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, Copilot, Daniel J. Beutel, Heng Pan, Javier, Taner Topal

What's new?

Fix client resource handling in local simulations (#6536)

Fix an issue in local simulations where backend configuration is not correctly propagated, causing virtual client resource settings such as CPU and GPU allocations in the Flower Configuration to be ignored.

Update framework documentation (#6528, #6530)

General improvements (#6526, #6493, #6534, #6531, #6523, #6529, #6501)

Flower 1.26.0

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, Flippchen, Heng Pan, Iason Ofeidis, Javier, Jun S, Soumik Sarker, Taner Topal, Yan Gao, nihonge

What's new?

Introduce centralized flwr CLI configuration (#6240, #6338, #6343, #6349, #6354, #6356, #6357, #6359, #6362, #6364, #6365, #6366, #6367, #6372, #6376, #6381, #6382, #6385, #6386, #6390, #6400, #6422, #6423, #6435, #6439, #6440, #6441, #6446, #6481, #6492, #6502, #6509, #6513, #6519)

Changes Flower CLI (flwr) configuration to introduce a new way to manage SuperLink connections and simulation settings in a central place (instead of Flower app's pyproject.toml). This enables flwr commands to be executed from any directory and allow reuse of named connections across different Flower apps. This change also removes the now obsolete enable-account-auth option. The central Flower CLI config fully replaces the legacy federation configuration in pyproject.toml, which is automatically migrated to the new Flower configuration format when running flwr commands. For usage details, see the Flower CLI reference and the Flower configuration documentation.

Enable automated database migrations on Flower version upgrades (#6345, #6355, #6370, #6371, #6378, #6379, #6380, #6383, #6384, #6387, #6388, #6389, #6396, #6398, #6402, #6403, #6404, #6406, #6407, #6408, #6410, #6411, #6424, #6425, #6426, #6433, #6436, #6448, #6450, #6457, #6459, #6460, #6469, #6477, #6478, #6521)

Refactors Flower's internal states implementations to introduce Alembic-based schema migrations with automatic upgrades. This ensures database compatibility across Flower versions and lays the groundwork for supporting more types of databases. See the database migration guide for details.

Improve CLI error handling and usability (#6432, #6437, #6444, #6462, #6467, #6505)

Updates flwr CLI to provide clearer and more consistent error formatting, improves CLI error messages and logging, and shows command aliases.

Improve reliability of network stack, ServerApp shutdown and Windows support (#6342, #6430, #6447, #6456, #6490, #6504)

Improves the reliability of message transmission and capacity tracking under unstable network conditions and high concurrency, improves Windows process handling and address resolution, and ensures graceful shutdown of flwr-serverapp.

Fix and improve framework documentation (#6312, #6336, #6351, #6397, #6401, #6434, #6455, #6470, #6485, #6506, #6508, #6511, #6512, #6516)

Fixes an incorrect learning rate key in the tutorial series, updates the clientappio address in the auth example, and improves the documentation UI by making the versioning sidebar scrollable to show all versions.

Update and maintain examples (#6331, #6334, #6369, #6395, #6419, #6474, #6488)

Updates the JAX quickstart, bumps example dependencies, makes the certificate generation script cross-platform, normalizes training loss in the PyTorch quickstart, and marks the legacy quickstart-pytorch example as deprecated.

... (truncated)

Commits

18f6f47 feat(framework): Update changelog for v1.26.1 (#6539)
ff86cbb refactor(*:skip): Bump dev versions to 1.26.1 (#6538)
c1d047a fix(framework): Fix passing backend config to Simulation Engine (#6536)
abeab79 refactor(examples): Remove app-pytorch example (#6534)
e689ced refactor(examples): Remove toml-federations from examples (#6501)
3dc0067 docs(framework): Update Helm parameters for 1.26.0 (#6530)
48d8668 refactor(framework): Reduce dependency on GrpcClientProxy (#6526)
de40f8f refactor(framework): Use versioned doc links in changelog (#6531)
cc63cfb ci(framework): Fix auto translation PR generation (#6529)
68015e6 Update text and language files (#6528)
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Updates pyarrow from 21.0.0 to 23.0.1

Release notes

Sourced from pyarrow's releases.

Apache Arrow 23.0.1

Release Notes URL: https://arrow.apache.org/release/23.0.1.html

Apache Arrow 23.0.1 RC0

Release Notes: Release Candidate: 23.0.1 RC0

Apache Arrow 23.0.0

Release Notes URL: https://arrow.apache.org/release/23.0.0.html

Apache Arrow 23.0.0 RC2

Release Notes: Release Candidate: 23.0.0 RC2

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

82a374e MINOR: [Release] Update versions for 23.0.1
c1ae37c MINOR: [Release] Update .deb/.rpm changelogs for 23.0.1
8f6e557 MINOR: [Release] Update CHANGELOG.md for 23.0.1
4e16a1a GH-49159: [C++][Gandiva] Detect overflow in repeat() (#49160)
985621d GH-48817 [R][C++] Bump C++20 in R build infrastructure (#48819)
1bea06a GH-49024: [CI] Update Debian version in .env (#49032)
147bcd6 GH-49156: [Python] Require GIL for string comparison (#49161)
e4f922b GH-49138: [Packaging][Python] Remove nightly cython install from manylinux wh...
f9376e4 GH-49003: [C++] Don't consider out_of_range an error in float parsing (#49095)
ab2c0ad GH-49044: [CI][Python] Fix test_download_tzdata_on_windows by adding required...
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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
Additional commits viewable in compare view

Updates pydantic-settings from 2.11.0 to 2.13.1

Release notes

Sourced from pydantic-settings's releases.

v2.13.0

What's Changed

fix: Deterministic alias selection when using validate_by_name by @chbndrhnns in pydantic/pydantic-settings#707

add deep merge functionality to config file sources by @pmeier in pydantic/pydantic-settings#698

Add support for AWS Secrets Manager VersionId parameter by @jcyamacho in pydantic/pydantic-settings#708

bugfix: Return None for inaccessible GCP Secret Manager secrets by @zaphod72 in pydantic/pydantic-settings#712

Bugfix for cli_kebab_case="all" and CliImplicitFlag[bool] by @Digity101 in pydantic/pydantic-settings#702

Unpack type alisases when looking for NoDecode by @tselepakis in pydantic/pydantic-settings#695

CliToggleFlag and CliDualFlag by @kschwab in pydantic/pydantic-settings#717

Fix for CLI duplicate enum field values. by @kschwab in pydantic/pydantic-settings#722

fixed load nested config from env by @Sube-py in pydantic/pydantic-settings#723

Add non-Path files support (for example Traversable) and open files using Path.open method by @mahenzon in pydantic/pydantic-settings#724

add one more traversable test by @mahenzon in pydantic/pydantic-settings#725

CLI fix fox external list args. by @kschwab in pydantic/pydantic-settings#727

fix: handle case-insensitive retrieval in GoogleSecretManagerSettingsSource by @ezwiefel in pydantic/pydantic-settings#730

CLI test fixes for help text formatting. by @kschwab in pydantic/pydantic-settings#735

Avoid conflicts with the NAME environment variable in WSL by @kzrnm in pydantic/pydantic-settings#747

fix: When restoring init kwargs, use deterministic order by @chbndrhnns in pydantic/pydantic-settings#746

Add env_prefix_target by @kzrnm in pydantic/pydantic-settings#749

Remove (default: …) in the help message for CliToggleFlag by @kzrnm in pydantic/pydantic-settings#740

Add support for CLI serialize styles. by @kschwab in pydantic/pydantic-settings#755

Add support for overriding default help on CLI internal parser. by @kschwab in pydantic/pydantic-settings#758

CLI format_help method support by @kschwab in pydantic/pydantic-settings#759

feat(gcp): support SecretVersion annotation for per-field secret versioning by @ezwiefel in pydantic/pydantic-settings#763

Allow snake_case_conversion with env_prefix for Azure Key Vault source by @cstarkers in pydantic/pydantic-settings#762

fix: Only override preferred_key when no value was found by @chbndrhnns in pydantic/pydantic-settings#767

Update deps by @hramezani in pydantic/pydantic-settings#768

CLI coerce numeric types. by @kschwab in pydantic/pydantic-settings#769

CLI Union Discriminator Choices in Help by @kschwab in pydantic/pydantic-settings#764

Add nested path support for yaml_config_section (fixes #772) by @hugo-romero-mm in pydantic/pydantic-settings#773

Prepare release 2.13.0 by @hramezani in pydantic/pydantic-settings#777

New Contributors

@pmeier made their first contribution in pydantic/pydantic-settings#698

@jcyamacho made their first contribution in pydantic/pydantic-settings#708

@zaphod72 made their first contribution in pydantic/pydantic-settings#712

@Digity101 made their first contribution in pydantic/pydantic-settings#702

@Sube-py made their first contribution in pydantic/pydantic-settings#723

@mahenzon made their first contribution in pydantic/pydantic-settings#724

@kzrnm made their first contribution in pydantic/pydantic-settings#747

@cstarkers made their first contribution in pydantic/pydantic-settings#762

@hugo-romero-mm made their first contribution in pydantic/pydantic-settings#773

Full Changelog: pydantic/pydantic-settings@v2.12.0...v2.13.0

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

... (truncated)

Commits

e87d12d v2.13.1 (#790)
acf8c14 Fix JSON decoding for parameterized PEP 695 type aliases (#780)
58b236a Fix AttributeError with nested env vars for dict fields (#785) (#786)
4933f06 Fix CLI parsing error for set field types since 2.13.0 (#787) (#788)
bd0ebe6 Fix RecursionError with self-referential models in CliApp (#783)
eb7840e Fix regression for bool fields since 2.13.0 (#784)
198e71c Prepare release 2.13.0 (#777)
de71e84 Add nested path support for yaml_config_section (fixes #772) (#773)
0f8f951 CLI Union Discriminator Choices in Help (#764)
ce9804c CLI coerce numeric types. (#769)
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Updates torch from 2.8.0 to 2.10.0

Release notes

Sourced from torch's releases.

PyTorch 2.10.0 Release Notes

Highlights

Backwards Incompatible Changes

Deprecations

New Features

Improvements

Bug fixes

Performance

Documentation

Developers

Security

Highlights

For more details about these highlighted features, you can look at the release blogpost. Below are the full release notes for this release.

Backwards Incompatible Changes

Dataloader Frontend

Removed unused data_source argument from Sampler (#163134). This is a no-op, unless you have a custom sampler that uses this argument. Please update your custom sampler accordingly.

Removed deprecated imports for torch.utils.data.datapipes.iter.grouping (#163438). from torch.utils.data.datapipes.iter.grouping import SHARDING_PRIORITIES, ShardingFilterIterDataPipe is no longer supported. Please import from torch.utils.data.datapipes.iter.sharding instead.

torch.nn

Remove Nested Jagged Tensor support from nn.attention.flex_attention (#161734)

... (truncated)

Commits

449b176 Add Joe Spisak to Core maintainers list (#172585)
f6e6c0a [Graph Partition] Improve support for mutation ops (#172577)
99cb424 Revert "[CI] Add IoU-based accuracy checking for inductor tests segmentation ...
1f74c10 [CI] Add IoU-based accuracy checking for inductor tests segmentation models (...
e43b5bf Bump fbgemm and torchrec pinned commit (

Bumps the all-python-packages group with 18 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` | `4.5.0` | | [flwr](https://github.com/adap/flower) | `1.22.0` | `1.26.1` | | [pyarrow](https://github.com/apache/arrow) | `21.0.0` | `23.0.1` | | [pydantic](https://github.com/pydantic/pydantic) | `2.12.0` | `2.12.5` | | [pydantic-settings](https://github.com/pydantic/pydantic-settings) | `2.11.0` | `2.13.1` | | [torch](https://github.com/pytorch/pytorch) | `2.8.0` | `2.10.0` | | [peft](https://github.com/huggingface/peft) | `0.17.1` | `0.18.1` | | [transformers](https://github.com/huggingface/transformers) | `4.56.2` | `5.2.0` | | [grpcio](https://github.com/grpc/grpc) | `1.75.1` | `1.78.1` | | [llama-index-core](https://github.com/run-llama/llama_index) | `0.14.4` | `0.14.15` | | [langchain-core](https://github.com/langchain-ai/langchain) | `0.3.79` | `1.2.14` | | [isort](https://github.com/PyCQA/isort) | `7.0.0` | `8.0.0` | | [mypy](https://github.com/python/mypy) | `1.18.2` | `1.19.1` | | [pre-commit](https://github.com/pre-commit/pre-commit) | `4.3.0` | `4.5.1` | | [pytest](https://github.com/pytest-dev/pytest) | `8.4.2` | `9.0.2` | | [ruff](https://github.com/astral-sh/ruff) | `0.14.0` | `0.15.2` | | [mkdocs-material](https://github.com/squidfunk/mkdocs-material) | `9.6.21` | `9.7.2` | 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 4.5.0 - [Release notes](https://github.com/huggingface/datasets/releases) - [Commits](huggingface/datasets@4.2.0...4.5.0) Updates `flwr` from 1.22.0 to 1.26.1 - [Release notes](https://github.com/adap/flower/releases) - [Changelog](https://github.com/adap/flower/blob/main/CHANGELOG.md) - [Commits](adap/flower@v1.22.0...v1.26.1) Updates `pyarrow` from 21.0.0 to 23.0.1 - [Release notes](https://github.com/apache/arrow/releases) - [Commits](apache/arrow@apache-arrow-21.0.0...apache-arrow-23.0.1) 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 2.13.1 - [Release notes](https://github.com/pydantic/pydantic-settings/releases) - [Commits](pydantic/pydantic-settings@v2.11.0...v2.13.1) Updates `torch` from 2.8.0 to 2.10.0 - [Release notes](https://github.com/pytorch/pytorch/releases) - [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md) - [Commits](pytorch/pytorch@v2.8.0...v2.10.0) Updates `torchvision` from 0.23.0 to 0.25.0 - [Release notes](https://github.com/pytorch/vision/releases) - [Commits](pytorch/vision@0.23.0...v0.25.0) Updates `peft` from 0.17.1 to 0.18.1 - [Release notes](https://github.com/huggingface/peft/releases) - [Commits](huggingface/peft@v0.17.1...v0.18.1) Updates `transformers` from 4.56.2 to 5.2.0 - [Release notes](https://github.com/huggingface/transformers/releases) - [Commits](huggingface/transformers@v4.56.2...v5.2.0) Updates `sentence-transformers` from 5.1.1 to 5.2.3 - [Release notes](https://github.com/huggingface/sentence-transformers/releases) - [Commits](huggingface/sentence-transformers@v5.1.1...v5.2.3) Updates `grpcio` from 1.75.1 to 1.78.1 - [Release notes](https://github.com/grpc/grpc/releases) - [Commits](grpc/grpc@v1.75.1...v1.78.1) Updates `llama-index-core` from 0.14.4 to 0.14.15 - [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...v0.14.15) Updates `langchain-core` from 0.3.79 to 1.2.14 - [Release notes](https://github.com/langchain-ai/langchain/releases) - [Commits](langchain-ai/langchain@langchain-core==0.3.79...langchain-core==1.2.14) 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 `isort` from 7.0.0 to 8.0.0 - [Release notes](https://github.com/PyCQA/isort/releases) - [Changelog](https://github.com/PyCQA/isort/blob/main/CHANGELOG.md) - [Commits](PyCQA/isort@7.0.0...8.0.0) Updates `mypy` from 1.18.2 to 1.19.1 - [Changelog](https://github.com/python/mypy/blob/master/CHANGELOG.md) - [Commits](python/mypy@v1.18.2...v1.19.1) Updates `pre-commit` from 4.3.0 to 4.5.1 - [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...v4.5.1) Updates `pylint` from 4.0.0 to 4.0.5 - [Release notes](https://github.com/pylint-dev/pylint/releases) - [Commits](pylint-dev/pylint@v4.0.0...v4.0.5) 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 0.15.2 - [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...0.15.2) Updates `mkdocs-material` from 9.6.21 to 9.7.2 - [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...9.7.2) --- 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: 4.5.0 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: all-python-packages - dependency-name: flwr dependency-version: 1.26.1 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: all-python-packages - dependency-name: pyarrow dependency-version: 23.0.1 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: 2.13.1 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: all-python-packages - dependency-name: torch dependency-version: 2.10.0 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: all-python-packages - dependency-name: torchvision dependency-version: 0.25.0 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: all-python-packages - dependency-name: peft dependency-version: 0.18.1 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: all-python-packages - dependency-name: transformers dependency-version: 5.2.0 dependency-type: direct:production update-type: version-update:semver-major dependency-group: all-python-packages - dependency-name: sentence-transformers dependency-version: 5.2.3 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: all-python-packages - dependency-name: grpcio dependency-version: 1.78.1 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: all-python-packages - dependency-name: llama-index-core dependency-version: 0.14.15 dependency-type: direct:production update-type: version-update:semver-patch dependency-group: all-python-packages - dependency-name: langchain-core dependency-version: 1.2.14 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: isort dependency-version: 8.0.0 dependency-type: direct:development update-type: version-update:semver-major dependency-group: all-python-packages - dependency-name: mypy dependency-version: 1.19.1 dependency-type: direct:development update-type: version-update:semver-minor dependency-group: all-python-packages - dependency-name: pre-commit dependency-version: 4.5.1 dependency-type: direct:development update-type: version-update:semver-minor dependency-group: all-python-packages - dependency-name: pylint dependency-version: 4.0.5 dependency-type: direct:development update-type: version-update:semver-patch dependency-group: all-python-packages - dependency-name: pytest dependency-version: 9.0.2 dependency-type: direct:development update-type: version-update:semver-major dependency-group: all-python-packages - dependency-name: pytest-asyncio dependency-version: 1.3.0 dependency-type: direct:development update-type: version-update:semver-minor dependency-group: all-python-packages - dependency-name: ruff dependency-version: 0.15.2 dependency-type: direct:development update-type: version-update:semver-minor dependency-group: all-python-packages - dependency-name: mkdocs-material dependency-version: 9.7.2 dependency-type: direct:development 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#533

Bump the all-python-packages group across 1 directory with 23 updates#533
dependabot[bot] wants to merge 1 commit intomainfrom
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dependabot bot commented on behalf of github Feb 23, 2026

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dependabot bot commented on behalf of github Feb 23, 2026

v1.12.0: Deepspeed Ulysses/ALST

Deepspeed Ulysses/ALST integration

Minor changes

New Contributors

4.5.0

Dataset Features

What's Changed

New Contributors

4.4.2

Bug fixes

Minor additions

New Contributors

Flower 1.26.1

Thanks to our contributors

What's new?

Flower 1.26.0

Thanks to our contributors

What's new?

Apache Arrow 23.0.1

Apache Arrow 23.0.1 RC0

Apache Arrow 23.0.0

Apache Arrow 23.0.0 RC2

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)

v2.13.0

What's Changed

New Contributors

v2.12.0

What's Changed

PyTorch 2.10.0 Release Notes

Highlights

Backwards Incompatible Changes

Dataloader Frontend

torch.nn

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