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Bumps the python-minor-patch group with 9 updates in the / directory:

Package From To
transformers 5.3.0 5.10.2
huggingface-hub 1.10.2 1.18.0
numpy 2.4.4 2.4.6
pandas 3.0.2 3.0.3
tqdm 4.67.3 4.68.1
peft 0.19.0 0.19.1
scikit-learn 1.8.0 1.9.0
ruff 0.15.10 0.15.16
pre-commit 4.5.1 4.6.0

Updates transformers from 5.3.0 to 5.10.2

Release notes

Sourced from transformers's releases.

Patch release v5.10.2

There was a big bug in the model conversion of models related to clip, this affected models like sam3 and others. Please make sure to update 🙏

Full Changelog: huggingface/transformers@v5.10.1...v5.10.2

Release v5.10.1

v5.10.0 was yanked as we publish on a corrupted branch. Sorry everyone, this happens when we rush a release!!!

New Model additions

Gemma4 unified+ Gemma4 MTP

Gemma 4 12B Unified is an encoder-free multimodal model with pretrained and instruction-tuned variants. Unlike standard Gemma 4, which uses dedicated encoder towers, Gemma 4 12B Unified projects raw inputs directly into the language model's embedding space through lightweight linear pipelines. This results in a simpler architecture while maintaining strong multimodal performance.

Key differences from standard Gemma 4:

  • No Vision Tower: Raw pixel patches are projected directly into LM space via a Dense + LayerNorm pipeline with factorized 2D positional embeddings, replacing the vision encoder.
  • No Audio Tower: Raw 16 kHz waveform samples are chunked into fixed-length frames and projected through a simple RMSNorm → Linear pipeline, replacing the mel spectrogram + Conformer encoder.
  • Shared Multimodal Pipeline: Both vision and audio use the same Gemma4UnifiedMultimodalEmbedder (RMSNorm → Linear) for the final projection to text hidden space.

You can find the original Gemma 4 12B Unified checkpoints under the Gemma 4 release.

Sapiens2

Sapiens2 is a family of high-resolution vision transformers pretrained on ~1 billion curated human images, designed for human-centric computer vision tasks including pose estimation, body-part segmentation, surface normal estimation, and pointmap estimation. The models scale from 0.4B to 5B parameters and train at native 1K resolution, with hierarchical 4K variants for extended spatial reasoning. Sapiens2 achieves substantial improvements over its predecessor with +4 mAP in pose estimation, +24.3 mIoU in body-part segmentation, and 45.6% error reduction in normal estimation.

Links: Documentation | Paper

DeepSeek-OCR-2

DeepSeek-OCR-2 is an OCR-specialized vision-language model built on a distinctive architecture that combines a SAM ViT-B vision encoder with a Qwen2 hybrid attention encoder, connected through an MLP projector to a DeepSeek-V2 Mixture-of-Experts (MoE) language model. The model features a hybrid attention mechanism that applies bidirectional attention over image tokens and causal attention over query tokens, enabling efficient and accurate document understanding. It supports both plain OCR tasks and grounding capabilities with coordinate-aware output for document conversion to markdown format.

Links: Documentation

Mellum

Mellum is a code-focused Mixture-of-Experts language model developed by JetBrains. It is derived from the Qwen3-MoE architecture with per-layer-type RoPE and interleaved sliding window attention. The model has 12B total parameters with 2.5B active parameters per token, using 64 routed experts with 8 activated per token across 28 layers.

Links: Documentation

... (truncated)

Commits

Updates huggingface-hub from 1.10.2 to 1.18.0

Release notes

Sourced from huggingface-hub's releases.

[v1.18.0] Unified file copying, web URL support, and storage usage

🖥️ Unified hf cp command

A single hf cp command now handles all file-copy workflows (upload a local file, download from the Hub, or copy between two remote locations) with consistent hf:// URI syntax for both repositories and buckets. It is also available as hf repos cp and hf buckets cp; all three aliases are identical, so you can use whichever reads best for your workflow. You can stream from stdin (-) or to stdout (-), and a trailing / on the source path gives you rsync-style semantics (copy the folder contents, not the folder itself). Note that remote-to-remote copies only work within the same storage region, and bucket-to-repo is not yet supported.

# Upload a local file to a repo
hf cp ./model.safetensors hf://username/my-model/model.safetensors
Download a file to stdout
hf cp hf://username/my-model/config.json - | jq .
Copy between two Hub repos
hf cp hf://username/source-model/config.json hf://username/dest-model/config.json

📚 Documentation: CLI guide — Copy files

  • [CLI] Add unified hf cp command (aliased as hf repos cp and hf buckets cp) by @​Wauplin in #4295

🥚 Easter egg:explore your storage usage

🔗 Paste web URLs directly

parse_hf_uri now accepts Hugging Face web URLs so you can paste a link straight into the CLI or the library and it "just works".

# Copy-paste a URL from the website
hf cp https://huggingface.co/nvidia/LocateAnything-3B/blob/main/config.json - | jq '.architectures'

📚 Documentation: HF URIs — Web URLs

  • [URIs] Parse web URLs in parse_hf_uri + add HfUri.to_url by @​Wauplin in #4296

🚨 Breaking change

On Lustre, GPFS, and some NFS mounts, flock(2) silently succeeds for every caller, which means filelock provides no mutual exclusion. When multiple hf_hub_download calls race for the same file, they can append to the same .incomplete file and silently corrupt the blob cache. This release fixes that by always downloading to a fresh temporary file instead of resuming an incomplete one, making the download path safe even when file locking is broken. filelock is still used as a "best-effort" hint to avoid unnecessary duplicate downloads, but correctness no longer depends on it. This is a breaking change: resuming a previously failed partial download is no longer possible. However, file resumability was already a niche use case only applicable when hf_xet is disabled.

  • [Fix] Make concurrent downloads safe even when file locking is broken by @​Wauplin in #4306

🖥️ CLI

... (truncated)

Commits
  • 64e5356 Release: v1.18.0
  • b1c4c20 Release: v1.18.0.rc0
  • c505f77 [Fix] Make concurrent downloads safe even when file locking is broken (#4306)
  • d04c3b2 [URIs] Parse web URLs in parse_hf_uri + add HfUri.to_url (#4296)
  • 0e57086 Bump the actions group with 2 updates (#4309)
  • e628f15 [Download] Probe umask next to incomplete file instead of two levels above de...
  • f4a91c2 [CLI] inline enum choices in the generated CLI skill (#4299)
  • 1138933 [Docs] Mention storage region limitation for server-side copy (#4302)
  • 26a6df1 [Docs] Document missing parameters in hf_hub_url and preupload_lfs_files (#4300)
  • c6dfc6d [Docs] Document missing endpoint and template_str parameters (#4298)
  • Additional commits viewable in compare view

Updates numpy from 2.4.4 to 2.4.6

Release notes

Sourced from numpy's releases.

v2.4.6 (May 18, 2026)

NumPy 2.4.6 Release Notes

NumPy 2.4.6 is a quick release that fixes a regression discovered in the 2.4.5 release.

This release supports Python versions 3.11-3.14

Contributors

A total of 4 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

  • !EarlMilktea
  • Charles Harris
  • Sebastian Berg
  • Warren Weckesser

Pull requests merged

A total of 4 pull requests were merged for this release.

  • #31444: MAINT: Prepare 2.4.x for further development
  • #31453: BUG: Fix regression in arr.conj()
  • #31459: BUG: np.linalg.svd(..., hermitian=True) returns non-unitary...
  • #31460: BUG: Don't call INCREF/DECREF on descr in NpyStringAcquireAllocator...

v2.4.5 (May 15, 2026)

NumPy 2.4.5 Release Notes

NumPy 2.4.5 is a patch release that fixes bugs discovered after the 2.4.4 release, has some typing improvements, and maintains infrastructure.

This release supports Python versions 3.11-3.14

Contributors

A total of 17 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

  • Aleksei Nikiforov
  • Anarion Zuo +
  • Ankit Ahlawat
  • Breno Favaretto +
  • Charles Harris
  • Igor Krivenko +
  • Ijtihed Kilani +
  • Joren Hammudoglu
  • Maarten Baert +

... (truncated)

Commits
  • b832a09 Merge pull request #31462 from charris/prepare-2.4.6
  • 57cc147 REL: Prepare for the NumPy 2.4.6 release
  • 0c72b0b Merge pull request #31459 from charris/backport-31347
  • 9778d26 BUG: core: Don't call INCREF/DECREF on descr in NpyStringAcquireAllocator. (#...
  • e0e3876 BUG: core: Don't call INCREF/DECREF on descr in NpyStringAcquireAllocator. (#...
  • d1bffeb BUG: np.linalg.svd(..., hermitian=True) returns non-unitary vh (#31347)
  • 8d8d7e5 Merge pull request #31453 from seberg/issue-31452
  • bddaab7 BUG: Fix regression in arr.conj()
  • 37a1ecc Merge pull request #31444 from charris/begin-2.4.6
  • 3c0e043 MAINT: Prepare 2.4.x for further development
  • Additional commits viewable in compare view

Updates pandas from 3.0.2 to 3.0.3

Release notes

Sourced from pandas's releases.

pandas 3.0.3

We are pleased to announce the release of pandas 3.0.3. This is a patch release in the 3.0.x series and includes some regression fixes and bug fixes. We recommend that all users of the 3.0.x series upgrade to this version.

See the full whatsnew for a list of all the changes.

Pandas 3.0 supports Python 3.11 and higher. The release can be installed from PyPI:

python -m pip install --upgrade pandas==3.0.*

Or from conda-forge

conda install -c conda-forge pandas=3.0

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

Commits
  • 72f2fea RLS: 3.0.3 (#65590)
  • 2897590 Backport PR #65436 on branch 3.0.x (Account for privatization of matplotlib `...
  • 49894b5 Backport PR #65499 on branch 3.0.x (BUG: fix check if pyarrow is installed in...
  • 1c6d1e3 [backport 3.0.x] PERF: remove special casing for zoneinfo in tz_localize_to_u...
  • 2a54711 Backport PR #64379 on branch 3.0.x (PERF: improve performance with ZoneInfo t...
  • 036bb7c Backport PR #65482 on branch 3.0.x (PERF: don't call unique on dtypes for che...
  • bf4c182 Backport PR #65410 on branch 3.0.x (TST: also convert str index to object in ...
  • dd02d75 [backport 3.0.x] BUG: keep fsspec OpenFile alive for chained URL reads (#6547...
  • aef3d0f [backport 3.0.x] CI: lowercase types-pymysql/types-pyyaml to fix mamba 2.6.0 ...
  • bb8e248 Backport PR #65399 on branch 3.0.x (DOC: fix source link for classes in the r...
  • Additional commits viewable in compare view

Updates tqdm from 4.67.3 to 4.68.1

Release notes

Sourced from tqdm's releases.

tqdm v4.68.1 stable

tqdm v4.68.0 stable

  • utils: simplify terminal size detection (#1760)
  • contrib
    • itertools (#1760)
      • add chain, permutations, combinations, combinations_with_replacement, batched
      • add product(repeat=1) keyword argument (#1428)
    • fix discord, telegram error handling
    • fix discord, slack, telegram format for total=None
  • soft-deprecate tqdm.utils.envwrap -> envwrap
  • benchmarks: fix asv
  • misc linting
  • misc framework updates
    • CI: migrate manual job to pre-commit.ci
    • bump workflow actions & pre-commit hooks
Commits
  • 67cf355 Merge pull request #1751 from jaltmayerpizzorno/fix-atexit-monitor-deadlock
  • cfa4a85 minor docstring updates
  • f83290c Fix TMonitor deadlock at interpreter shutdown
  • 59029c3 Set name for tqdm monitor thread (#1752)
  • ef4a142 bump version, merge pull request #1760 from tqdm/devel
  • 17f246b lint warning suppression
  • c682c7b benchmarks: fix asv
  • fc69588 CI: migrate to pre-commit.ci
  • a31d97f more contrib.itertools
  • e4d9742 soft-deprecate tqdm.utils.envwrap -> envwrap
  • Additional commits viewable in compare view

Updates peft from 0.19.0 to 0.19.1

Release notes

Sourced from peft's releases.

v0.19.1

A small patch release containing these fixes:

Full Changelog: huggingface/peft@v0.19.0...v0.19.1

Commits

Updates scikit-learn from 1.8.0 to 1.9.0

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.9.0

We're happy to announce the 1.9.0 release.

You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_9_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.9.html

This release adds narwhals as a new dependency that will help to improve dataframe interoperability across the project.

This version supports Python versions 3.11 to 3.14.

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds can be installed using:

conda install -c conda-forge scikit-learn
Commits
  • 77def0e trigger wheel builder [cd build]
  • ee7c0b0 generate changelog
  • 3d7fb04 bump version
  • 8954e7b DOC Release highlights for 1.9 (#34147)
  • 73a3eab Fix: Array-API - avoid failing for numpy fit + predict with sparse or array-l...
  • 8839aae DOC Thread-safety requirement for open_listener message consumer callback (#3...
  • 4d2476a DOC Refactor array API docs page (#34054)
  • f9f812f 🔒 🤖 CI Update lock files for scipy-dev CI build(s) 🔒 🤖 ...
  • d779dc3 🔒 🤖 CI Update lock files for free-threaded CI build(s) 🔒 :rob...
  • 6a03cf0 🔒 🤖 CI Update lock files for array-api CI build(s) 🔒 🤖 ...
  • Additional commits viewable in compare view

Updates wandb from 0.26.1 to 0.25.0

Changelog

Sourced from wandb's changelog.

[0.26.1] - 2026-04-23

Added

  • Api methods returning artifacts, registries, automations, and related paginators now accept an optional start argument to resume iteration from a saved cursor (@​tonyyli-wandb in wandb/wandb#11651)
  • The stop_fn setting to customize how a run is stopped (@​timoffex in wandb/wandb#11773)
    • Allows overriding the default of sending a SIGINT to the Python process

Changed

  • Unified keyboard navigation in W&B LEET TUI (wandb beta leet command): wasd and arrow keys are now interchangeable within each focused pane (chart focus in grids, item/page nav in lists), and Home/End/PgUp/PgDn work universally; the media pane retains its deliberate split where arrows scrub and wasd selects tiles (@​dmitryduev in wandb/wandb#11756)

Fixed

  • Made wandb.init(id=run_id, reinit="create_new") raise an error when another run in the same script with the same run_id is still running (@​timoffex in wandb/wandb#11759)
  • wandb.Api no longer raises an error for some api operations when offline mode is enabled via the WANDB_MODE environment variable or the mode setting. (@​jacobromero in wandb/wandb#11762)

[0.26.0] - 2026-04-13

Notable Changes

This version drops compatibility with server versions older than 0.63.0 (for Dedicated Cloud and Self-Managed W&B deployments).

Added

  • wandb beta core start|stop commands to run a detached wandb-core service and reuse it across multiple processes via the WANDB_SERVICE env var (@​dmitryduev in wandb/wandb#11418)
  • Run filtering by metadata in multi-run workspace mode in W&B LEET TUI (wandb beta leet command, activate with f) (@​dmitryduev in wandb/wandb#11497 and wandb/wandb#11534)
  • Run overview displays tags and notes in W&B LEET TUI (wandb beta leet command) (@​dmitryduev in wandb/wandb#11523)
  • Per-chart log-scale (Y-axis) support in W&B LEET TUI (wandb beta leet command, toggle on a selected chart with y) (@​dmitryduev in wandb/wandb#11537)
  • Standalone system monitor mode in W&B LEET TUI (wandb beta leet symon command) (@​dmitryduev in wandb/wandb#11559)
  • Bucketed heatmap chart mode for system metrics expressed as percentages (e.g. GPU utilization) in W&B LEET TUI (wandb beta leet command, cycle chart mode on a selected chart with y) (@​dmitryduev in wandb/wandb#11568 and wandb/wandb#11607)
  • Colorblind-friendly dusk-shore (gradient) and clear-signal (cycle) color schemes in W&B LEET TUI (wandb beta leet command, configure with wandb beta leet config) (@​dmitryduev in wandb/wandb#11577)
  • disable_git_fork_point to prevent calculating git diff patch files closest ancestor commit when no upstream branch is set (@​jacobromero in wandb/wandb#10132)
  • Media pane for displaying wandb.Image data as ANSI thumbnails in W&B LEET TUI (wandb beta leet command), with grid layout, X-axis scrubbing, fullscreen mode, and keyboard/mouse navigation (@​dmitryduev in wandb/wandb#11630)
  • Kubeflow Pipelines v2 (kfp>=2.0.0) support for the @wandb_log decorator (@​ayulockin in wandb/wandb#11423)
  • allow_media_symlink setting to symlink or hardlink media files to the run directory instead of copying, improving logging performance and reducing disk usage (@​jacobromero in wandb/wandb#11544)
  • run.pin_config_keys(keys) to programmatically pin specific config keys for display in a References section on the Run Overview page (@​acasey-wandb in wandb/wandb#11639)
  • Direct TPU metric collection via libtpu.so FFI, capturing tensorcore_util (SDK-only, unavailable via gRPC), duty_cycle_pct, hbm_capacity_total, hbm_capacity_usage, and latency distributions (@​dmitryduev in wandb/wandb#11528)
  • NVML GPM (GPU Performance Monitoring) profiling metrics for Hopper+ GPUs (H100 and newer), providing SM utilization, tensor/FP pipeline activity, DRAM bandwidth, and PCIe/NVLink throughput without requiring the DCGM daemon (@​dmitryduev in wandb/wandb#11622)
  • .runs() on the Agent class to query run status for a given sweep agent (@​kmikowicz-wandb in wandb/wandb#11558)
  • .agent() and .agents() on the Sweep class to query active agents for a given sweep (@​kmikowicz-wandb in wandb/wandb#11558)

Changed

Fixed

... (truncated)

Commits
  • 317d48c Bump version and update CHANGELOG for release 0.25.0
  • 9bdb12b fix: tensorboard stopping reading files after the first megabyte (#11334)
  • 36548d8 chore: update coverage[toml] requirement from ~=7.6 to ~=7.10 (#11305)
  • cf8a156 chore: bump go version to 1.25.7 (#11335)
  • e2d30da feat(leet): interactive config editor (#11327)
  • faa6d7c refactor: simplify sentry handling in logging.go (#11331)
  • 08d855e fix(sdk): skip list length constraints in pydantic v1 validation (#11330)
  • 19b6367 refactor: move Sentry capture rate-limiting to CoreLogger (#11329)
  • 220a522 chore(leet): changelog entry for multi-run workspace experience (#11325)
  • daea9d9 feat(leet): multi-run workspace (#11299)
  • Additional commits viewable in compare view

Updates unsloth from 2026.3.11 to 2025.7.2

Release notes

Sourced from unsloth's releases.

gpt-oss Reinforcement Learning + Auto Kernel Notebook

We’re introducing gpt-oss RL support and the fastest RL inference and lowest VRAM use vs. any implementation. Blog: https://docs.unsloth.ai/new/gpt-oss-reinforcement-learning

  • Unsloth now offers the fastest inference (~3x faster), lowest VRAM (50% less) and most context (8x longer) for gpt-oss RL vs. any implementation - with no accuracy loss.
  • Since RL on gpt-oss isn't yet vLLM compatible, we rewrote Transformers inference code to enable faster inference
  • gpt-oss-20b GSPO free Colab notebook
  • This notebook automatically creates faster matrix multiplication kernels and uses a new Unsloth reward function. We also show how to counteract reward-hacking which is one of RL's biggest challenges.
  • We previously released Vision RL with GSPO support
  • ⚠️ Reminder to NOT use Flash Attention 3 for gpt-oss as it'll make your training loss wrong.
  • DeepSeek-V3.1-Terminus is here and you can run locally via our GGUF Read how our 3-bit GGUF beats Claude-4-Opus (thinking) on Aider Polyglot here
  • Magistral 1.2 is here and you can run it locally here or fine-tune it for free by using our Kaggle notebook
  • Fine-tuning the new Qwen3 models including Qwen3-VL, Qwen3-Omni and Qwen3-Next should work in Unsloth if you install the latest transformers. The models are big however so ensure you have enough VRAM.
  • BERT is now fixed! Feel free to use our BERT fine-tuning notebook

Don't forget to also join our Reddit: r/unsloth 🥰

What's Changed

New Contributors

Full Changelog: unslothai/unsloth@September-2025-v2...September-2025-v3

Vision Reinforcement Learning + Memory Efficient RL

We're excited to support Vision models for RL and even more memory efficient + faster RL!

Unsloth now supports vision/multimodal RL with Gemma 3, Qwen2.5-VL and other vision models. Due to Unsloth's unique weight sharing and custom kernels, Unsloth makes VLM RL 1.5–2× faster, uses 90% less VRAM, and enables 10× longer context lengths than FA2 setups, with no accuracy loss. Qwen2.5-VL GSPO notebook Gemma 3 (4B) Vision GSPO notebook

Full details in our blogpost: https://docs.unsloth.ai/new/vision-reinforcement-learning-vlm-rl

  • This update also introduces Qwen's GSPO algorithm.
  • Our new vision RL support also comes now even faster & more memory efficient! Our new kernels & algos allows faster RL for text and vision LLMs with 50% less VRAM & 10× more context.
  • Introducing a new RL feature called 'Standby'. Before, RL requires GPU splitting between training & inference. With Unsloth Standby, you no longer have to & 'Unsloth Standby' uniquely limits speed degradation compared to other implementations and sometimes makes training even faster! Read our Blog
  • We released Aider Polyglot benchmarks for our DeepSeek-V3.1 Dynamic GGUFs and Unsloth quants perform consistently better than others. Blog

... (truncated)

Commits

Updates unsloth-zoo from 2026.3.6 to 2025.7.4

Release notes

Sourced from unsloth-zoo's releases.

gpt-oss Reinforcement Learning + Auto Kernel Notebook

We’re introducing gpt-oss RL support and the fastest RL inference and lowest VRAM use vs. any implementation. Blog: https://docs.unsloth.ai/new/gpt-oss-reinforcement-learning

  • Unsloth now offers the fastest inference (~3x faster), lowest VRAM (50% less) and most context (8x longer) for gpt-oss RL vs. any implementation - with no accuracy loss.
  • Since RL on gpt-oss isn't yet vLLM compatible, we rewrote Transformers inference code to enable faster inference
  • gpt-oss-20b GSPO free Colab notebook
  • This notebook automatically creates faster matrix multiplication kernels and uses a new Unsloth reward function. We also show how to counteract reward-hacking which is one of RL's biggest challenges.
  • We previously released Vision RL with GSPO support
  • ⚠️ Reminder to NOT use Flash Attention 3 for gpt-oss as it'll make your training loss wrong.
  • DeepSeek-V3.1-Terminus is here and you can run locally via our GGUF Read how our 3-bit GGUF beats Claude-4-Opus (thinking) on Aider Polyglot here
  • Magistral 1.2 is here and you can run it locally here or fine-tune it for free by using our Kaggle notebook
  • Fine-tuning the new Qwen3 models including Qwen3-VL, Qwen3-Omni and Qwen3-Next should work in Unsloth if you install the latest transformers. The models are big however so ensure you have enough VRAM.
  • BERT is now fixed! Feel free to use our BERT fine-tuning notebook

Don't forget to also join our Reddit: r/unsloth 🥰

What's Changed

New Contributors

Full Changelog: unslothai/unsloth@September-2025-v2...September-2025-v3

Vision Reinforcement Learning + Memory Efficient RL

We're excited to support Vision models for RL and even more memory efficient + faster RL!

Unsloth now supports vision/multimodal RL with Gemma 3, Qwen2.5-VL and other vision models. Due to Unsloth's unique weight sharing and custom kernels, Unsloth makes VLM RL 1.5–2× faster, uses 90% less VRAM, and enables 10× longer context lengths than FA2 setups, with no accuracy loss. Qwen2.5-VL GSPO notebook Gemma 3 (4B) Vision GSPO notebook

Full details in our blogpost: https://docs.unsloth.ai/new/vision-reinforcement-learning-vlm-rl

  • This update also introduces Qwen's GSPO algorithm.
  • Our new vision RL support also comes now even faster & more memory efficient! Our new kernels & algos allows faster RL for text and vision LLMs with 50% less VRAM & 10× more context.
  • Introducing a new RL feature called 'Standby'. Before, RL requires GPU splitting between training & inference. With Unsloth Standby, you no longer have to & 'Unsloth Standby' uniquely limits speed degradation compared to other implementations and sometimes makes training even faster! Read our Blog
  • We released Aider Polyglot benchmarks for our DeepSeek-V3.1 Dynamic GGUFs and Unsloth quants perform consistently better than others. Blog

... (truncated)

Commits

Updates protobuf from 7.34.1 to 3.20.3

Release notes

Sourced from protobuf's releases.

Protocol Buffers v34.0-rc1

Announcements

@dependabot
build(deps): bump the python-minor-patch group across 1 directory wit…
e3cd385 
…h 13 updates

Bumps the python-minor-patch group with 9 updates in the / directory:

| Package | From | To |
| --- | --- | --- |
| [transformers](https://github.com/huggingface/transformers) | `5.3.0` | `5.10.2` |
| [huggingface-hub](https://github.com/huggingface/huggingface_hub) | `1.10.2` | `1.18.0` |
| [numpy](https://github.com/numpy/numpy) | `2.4.4` | `2.4.6` |
| [pandas](https://github.com/pandas-dev/pandas) | `3.0.2` | `3.0.3` |
| [tqdm](https://github.com/tqdm/tqdm) | `4.67.3` | `4.68.1` |
| [peft](https://github.com/huggingface/peft) | `0.19.0` | `0.19.1` |
| [scikit-learn](https://github.com/scikit-learn/scikit-learn) | `1.8.0` | `1.9.0` |
| [ruff](https://github.com/astral-sh/ruff) | `0.15.10` | `0.15.16` |
| [pre-commit](https://github.com/pre-commit/pre-commit) | `4.5.1` | `4.6.0` |



Updates `transformers` from 5.3.0 to 5.10.2
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v5.3.0...v5.10.2)

Updates `huggingface-hub` from 1.10.2 to 1.18.0
- [Release notes](https://github.com/huggingface/huggingface_hub/releases)
- [Commits](huggingface/huggingface_hub@v1.10.2...v1.18.0)

Updates `numpy` from 2.4.4 to 2.4.6
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst)
- [Commits](numpy/numpy@v2.4.4...v2.4.6)

Updates `pandas` from 3.0.2 to 3.0.3
- [Release notes](https://github.com/pandas-dev/pandas/releases)
- [Commits](pandas-dev/pandas@v3.0.2...v3.0.3)

Updates `tqdm` from 4.67.3 to 4.68.1
- [Release notes](https://github.com/tqdm/tqdm/releases)
- [Commits](tqdm/tqdm@v4.67.3...v4.68.1)

Updates `peft` from 0.19.0 to 0.19.1
- [Release notes](https://github.com/huggingface/peft/releases)
- [Commits](huggingface/peft@v0.19.0...v0.19.1)

Updates `scikit-learn` from 1.8.0 to 1.9.0
- [Release notes](https://github.com/scikit-learn/scikit-learn/releases)
- [Commits](scikit-learn/scikit-learn@1.8.0...1.9.0)

Updates `wandb` from 0.26.1 to 0.25.0
- [Release notes](https://github.com/wandb/wandb/releases)
- [Changelog](https://github.com/wandb/wandb/blob/main/CHANGELOG.md)
- [Commits](wandb/wandb@v0.26.1...v0.25.0)

Updates `unsloth` from 2026.3.11 to 2025.7.2
- [Release notes](https://github.com/unslothai/unsloth/releases)
- [Commits](https://github.com/unslothai/unsloth/commits)

Updates `unsloth-zoo` from 2026.3.6 to 2025.7.4
- [Release notes](https://github.com/unslothai/unsloth/releases)
- [Commits](https://github.com/unslothai/unsloth/commits)

Updates `protobuf` from 7.34.1 to 3.20.3
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/v3.20.3/CHANGES.txt)
- [Commits](https://github.com/protocolbuffers/protobuf/commits/v3.20.3)

Updates `ruff` from 0.15.10 to 0.15.16
- [Release notes](https://github.com/astral-sh/ruff/releases)
- [Changelog](https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md)
- [Commits](astral-sh/ruff@0.15.10...0.15.16)

Updates `pre-commit` from 4.5.1 to 4.6.0
- [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@v4.5.1...v4.6.0)

---
updated-dependencies:
- dependency-name: transformers
  dependency-version: 5.10.2
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: python-minor-patch
- dependency-name: huggingface-hub
  dependency-version: 1.18.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: python-minor-patch
- dependency-name: numpy
  dependency-version: 2.4.6
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: python-minor-patch
- dependency-name: pandas
  dependency-version: 3.0.3
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: python-minor-patch
- dependency-name: tqdm
  dependency-version: 4.68.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: python-minor-patch
- dependency-name: peft
  dependency-version: 0.19.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: python-minor-patch
- dependency-name: scikit-learn
  dependency-version: 1.9.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: python-minor-patch
- dependency-name: wandb
  dependency-version: 0.25.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: python-minor-patch
- dependency-name: unsloth
  dependency-version: 2025.7.2
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: python-minor-patch
- dependency-name: unsloth-zoo
  dependency-version: 2025.7.4
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: python-minor-patch
- dependency-name: protobuf
  dependency-version: 3.20.3
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: python-minor-patch
- dependency-name: ruff
  dependency-version: 0.15.16
  dependency-type: direct:development
  update-type: version-update:semver-patch
  dependency-group: python-minor-patch
- dependency-name: pre-commit
  dependency-version: 4.6.0
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: python-minor-patch
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot @github

dependabot Bot commented on behalf of github Jun 8, 2026

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The following labels could not be found: dependencies, python. Please create them before Dependabot can add them to a pull request.

Please fix the above issues or remove invalid values from dependabot.yml.

@dependabot @github

dependabot Bot commented on behalf of github Jun 15, 2026

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Looks like these dependencies are updatable in another way, so this is no longer needed.

@dependabot dependabot Bot closed this Jun 15, 2026
@dependabot
dependabot Bot deleted the dependabot/uv/python-minor-patch-dcd2f156da branch June 15, 2026 08:18
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