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Bumps the pip group with 4 updates in the / directory: transformers, deepspeed, torch and tqdm.
Bumps the pip group with 4 updates in the /train directory: transformers, deepspeed, torch and tqdm.

Updates transformers from 4.28.1 to 4.53.0

Release notes

Sourced from transformers's releases.

Release v4.53.0

Gemma3n

Gemma 3n models are designed for efficient execution on low-resource devices. They are capable of multimodal input, handling text, image, video, and audio input, and generating text outputs, with open weights for pre-trained and instruction-tuned variants. These models were trained with data in over 140 spoken languages.

Gemma 3n models use selective parameter activation technology to reduce resource requirements. This technique allows the models to operate at an effective size of 2B and 4B parameters, which is lower than the total number of parameters they contain. For more information on Gemma 3n's efficient parameter management technology, see the Gemma 3n page.

image

from transformers import pipeline
import torch
pipe = pipeline(
"image-text-to-text",
torch_dtype=torch.bfloat16,
model="google/gemma-3n-e4b",
device="cuda",
)
output = pipe(
"https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/bee.jpg",
text="<image_soft_token> in this image, there is"
)
print(output)

Dia

image

Dia is an opensource text-to-speech (TTS) model (1.6B parameters) developed by Nari Labs. It can generate highly realistic dialogue from transcript including nonverbal communications such as laughter and coughing. Furthermore, emotion and tone control is also possible via audio conditioning (voice cloning).

Model Architecture: Dia is an encoder-decoder transformer based on the original transformer architecture. However, some more modern features such as rotational positional embeddings (RoPE) are also included. For its text portion (encoder), a byte tokenizer is utilized while for the audio portion (decoder), a pretrained codec model DAC is used - DAC encodes speech into discrete codebook tokens and decodes them back into audio.

Kyutai Speech-to-Text

Kyutai STT is a speech-to-text model architecture based on the Mimi codec, which encodes audio into discrete tokens in a streaming fashion, and a Moshi-like autoregressive decoder. Kyutai’s lab has released two model checkpoints:

... (truncated)

Commits

Updates deepspeed from 0.9.0 to 0.15.1

Release notes

Sourced from deepspeed's releases.

v0.15.1 Patch release

What's Changed

New Contributors

Full Changelog: deepspeedai/DeepSpeed@v0.15.0...v0.15.1

DeepSpeed v0.15.0

What's Changed

... (truncated)

Commits
  • 10ba3dd Handle an edge case where CUDA_HOME is not defined on ROCm systems (#6488)
  • 662a421 Safe usage of popen (#6490)
  • ddd3571 Add default value to "checkpoint_folder" in "load_state_dict" of bf16_optimiz...
  • 5d1a30c DS_BUILD_OPS should build only compatible ops (#6489)
  • ddeb0c1 Fix patch for parameter partitioning in zero.Init() (#6388)
  • 9d17116 print warning if actual triton cache dir is on NFS, not just for default (#6487)
  • 5df12a4 DeepNVMe tutorial (#6449)
  • cfc6ed3 bf16_optimizer: fixes to different grad acc dtype (#6485)
  • 9b7fc54 Add workflow to build DS without torch to better test before releases (#6450)
  • 89c4d9f TestLowCpuMemUsage UT get device by device_name (#6397)
  • Additional commits viewable in compare view

Updates torch from 1.13.0 to 2.8.0

Release notes

Sourced from torch's releases.

PyTorch 2.8.0 Release Notes

Highlights

... (truncated)

Commits
  • ba56102 Cherrypick: Add the RunLLM widget to the website (#159592)
  • c525a02 [dynamo, docs] cherry pick torch.compile programming model docs into 2.8 (#15...
  • a1cb3cc [Release Only] Remove nvshmem from list of preload libraries (#158925)
  • c76b235 Move out super large one off foreach_copy test (#158880)
  • 20a0e22 Revert "[Dynamo] Allow inlining into AO quantization modules (#152934)" (#158...
  • 9167ac8 [MPS] Switch Cholesky decomp to column wise (#158237)
  • 5534685 [MPS] Reimplement tri[ul] as Metal shaders (#158867)
  • d19e08d Cherry pick PR 158746 (#158801)
  • a6c044a [cherry-pick] Unify torch.tensor and torch.ops.aten.scalar_tensor behavior (#...
  • 620ebd0 [Dynamo] Use proper sources for constructing dataclass defaults (#158689)
  • Additional commits viewable in compare view

Updates tqdm from 4.65.0 to 4.66.3

Release notes

Sourced from tqdm's releases.

tqdm v4.66.3 stable

tqdm v4.66.2 stable

  • pandas: add DataFrame.progress_map (#1549)
  • notebook: fix HTML padding (#1506)
  • keras: fix resuming training when verbose>=2 (#1508)
  • fix format_num negative fractions missing leading zero (#1548)
  • fix Python 3.12 DeprecationWarning on import (#1519)
  • linting: use f-strings (#1549)
  • update tests (#1549)
  • CI: bump actions (#1549)

tqdm v4.66.1 stable

  • fix utils.envwrap types (#1493 <- #1491, #1320 <- #966, #1319)
    • e.g. cloudwatch & kubernetes workaround: export TQDM_POSITION=-1
  • drop mentions of unsupported Python versions

tqdm v4.66.0 stable

  • environment variables to override defaults (TQDM_*) (#1491 <- #1061, #950 <- #614, #1318, #619, #612, #370)
    • e.g. in CI jobs, export TQDM_MININTERVAL=5 to avoid log spam
    • add tests & docs for tqdm.utils.envwrap
  • fix & update CLI completion
  • fix & update API docs
  • minor code tidy: replace os.path => pathlib.Path
  • fix docs image hosting
  • release with CI bot account again (cli/cli#6680)

tqdm v4.65.2 stable

  • exclude examples from distributed wheel (#1492)

tqdm v4.65.1 stable

  • migrate setup.{cfg,py} => pyproject.toml (#1490)
    • fix asv benchmarks
    • update docs
  • fix snap build (#1490)
  • fix & update tests (#1490)
    • fix flaky notebook tests
    • bump pre-commit
    • bump workflow actions
Commits

Updates transformers from 4.28.1 to 4.53.0

Release notes

Sourced from transformers's releases.

Release v4.53.0

Gemma3n

Gemma 3n models are designed for efficient execution on low-resource devices. They are capable of multimodal input, handling text, image, video, and audio input, and generating text outputs, with open weights for pre-trained and instruction-tuned variants. These models were trained with data in over 140 spoken languages.

Gemma 3n models use selective parameter activation technology to reduce resource requirements. This technique allows the models to operate at an effective size of 2B and 4B parameters, which is lower than the total number of parameters they contain. For more information on Gemma 3n's efficient parameter management technology, see the Gemma 3n page.

image

from transformers import pipeline
import torch
pipe = pipeline(
"image-text-to-text",
torch_dtype=torch.bfloat16,
model="google/gemma-3n-e4b",
device="cuda",
)
output = pipe(
"https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/bee.jpg",
text="<image_soft_token> in this image, there is"
)
print(output)

Dia

image

Dia is an opensource text-to-speech (TTS) model (1.6B parameters) developed by Nari Labs. It can generate highly realistic dialogue from transcript including nonverbal communications such as laughter and coughing. Furthermore, emotion and tone control is also possible via audio conditioning (voice cloning).

Model Architecture: Dia is an encoder-decoder transformer based on the original transformer architecture. However, some more modern features such as rotational positional embeddings (RoPE) are also included. For its text portion (encoder), a byte tokenizer is utilized while for the audio portion (decoder), a pretrained codec model DAC is used - DAC encodes speech into discrete codebook tokens and decodes them back into audio.

Kyutai Speech-to-Text

Kyutai STT is a speech-to-text model architecture based on the Mimi codec, which encodes audio into discrete tokens in a streaming fashion, and a Moshi-like autoregressive decoder. Kyutai’s lab has released two model checkpoints:

... (truncated)

Commits

Updates deepspeed from 0.9.0 to 0.15.1

Release notes

Sourced from deepspeed's releases.

v0.15.1 Patch release

What's Changed

New Contributors

Full Changelog: deepspeedai/DeepSpeed@v0.15.0...v0.15.1

DeepSpeed v0.15.0

What's Changed

... (truncated)

Commits
  • 10ba3dd Handle an edge case where CUDA_HOME is not defined on ROCm systems (#6488)
  • 662a421 Safe usage of popen (#6490)
  • ddd3571 Add default value to "checkpoint_folder" in "load_state_dict" of bf16_optimiz...
  • 5d1a30c DS_BUILD_OPS should build only compatible ops (#6489)
  • ddeb0c1 Fix patch for parameter partitioning in zero.Init() (#6388)
  • 9d17116 print warning if actual triton cache dir is on NFS, not just for default (#6487)
  • 5df12a4 DeepNVMe tutorial (#6449)
  • cfc6ed3 bf16_optimizer: fixes to different grad acc dtype (#6485)
  • 9b7fc54 Add workflow to build DS without torch to better test before releases (#6450)
  • 89c4d9f TestLowCpuMemUsage UT get device by device_name (#6397)
  • Additional commits viewable in compare view

Updates torch from 1.13.0 to 2.8.0

Release notes

Sourced from torch's releases.

PyTorch 2.8.0 Release Notes

Highlights

... (truncated)

Commits
  • ba56102 Cherrypick: Add the RunLLM widget to the website (#159592)
  • c525a02 [dynamo, docs] cherry pick torch.compile programming model docs into 2.8 (#15...
  • a1cb3cc [Release Only] Remove nvshmem from list of preload libraries (#158925)
  • c76b235 Move out super large one off foreach_copy test (#158880)
  • 20a0e22 Revert "[Dynamo] Allow inlining into AO quantization modules (#152934)" (#158...
  • 9167ac8 [MPS] Switch Cholesky decomp to column wise (#158237)
  • 5534685 [MPS] Reimplement tri[ul] as Metal shaders (#158867)
  • d19e08d Cherry pick PR 158746 (#158801)
  • a6c044a [cherry-pick] Unify torch.tensor and torch.ops.aten.scalar_tensor behavior (#...
  • 620ebd0 [Dynamo] Use proper sources for constructing dataclass defaults (#158689)
  • Additional commits viewable in compare view

Updates tqdm from 4.65.0 to 4.66.3

Release notes

Sourced from tqdm's releases.

tqdm v4.66.3 stable

tqdm v4.66.2 stable

  • pandas: add DataFrame.progress_map (#1549)
  • notebook: fix HTML padding (#1506)
  • keras: fix resuming training when verbose>=2 (#1508)
  • fix format_num negative fractions missing leading zero (#1548)
  • fix Python 3.12 DeprecationWarning on import (#1519)
  • linting: use f-strings (#1549)
  • update tests (#1549)
  • CI: bump actions (#1549)

tqdm v4.66.1 stable

  • fix utils.envwrap types (#1493 <- #1491, #1320 <- #966, #1319)
    • e.g. cloudwatch & kubernetes workaround: export TQDM_POSITION=-1
  • drop mentions of unsupported Python versions

tqdm v4.66.0 stable

  • environment variables to override defaults (TQDM_*) (#1491 <- #1061, #950 <- #614, #1318, #619, #612, #370)
    • e.g. in CI jobs, export TQDM_MININTERVAL=5 to avoid log spam
    • add tests & docs for tqdm.utils.envwrap
  • fix & update CLI completion
  • fix & update API docs
  • minor code tidy: replace os.path => pathlib.Path
  • fix docs image hosting
  • release with CI bot account again (cli/cli#6680)

tqdm v4.65.2 stable

  • exclude examples from distributed wheel (#1492)

tqdm v4.65.1 stable

  • migrate setup.{cfg,py} => pyproject.toml (#1490)
    • fix asv benchmarks
    • update docs
  • fix snap build (#1490)
  • fix & update tests (#1490)
    • fix flaky notebook tests
    • bump pre-commit
    • bump workflow actions
Commits

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@dependabot
Bump the pip group across 2 directories with 4 updates
8276046 
Bumps the pip group with 4 updates in the / directory: [transformers](https://github.com/huggingface/transformers), [deepspeed](https://github.com/deepspeedai/DeepSpeed), [torch](https://github.com/pytorch/pytorch) and [tqdm](https://github.com/tqdm/tqdm).
Bumps the pip group with 4 updates in the /train directory: [transformers](https://github.com/huggingface/transformers), [deepspeed](https://github.com/deepspeedai/DeepSpeed), [torch](https://github.com/pytorch/pytorch) and [tqdm](https://github.com/tqdm/tqdm).


Updates `transformers` from 4.28.1 to 4.53.0
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.28.1...v4.53.0)

Updates `deepspeed` from 0.9.0 to 0.15.1
- [Release notes](https://github.com/deepspeedai/DeepSpeed/releases)
- [Commits](deepspeedai/DeepSpeed@v0.9.0...v0.15.1)

Updates `torch` from 1.13.0 to 2.8.0
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v1.13.0...v2.8.0)

Updates `tqdm` from 4.65.0 to 4.66.3
- [Release notes](https://github.com/tqdm/tqdm/releases)
- [Commits](tqdm/tqdm@v4.65.0...v4.66.3)

Updates `transformers` from 4.28.1 to 4.53.0
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.28.1...v4.53.0)

Updates `deepspeed` from 0.9.0 to 0.15.1
- [Release notes](https://github.com/deepspeedai/DeepSpeed/releases)
- [Commits](deepspeedai/DeepSpeed@v0.9.0...v0.15.1)

Updates `torch` from 1.13.0 to 2.8.0
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v1.13.0...v2.8.0)

Updates `tqdm` from 4.65.0 to 4.66.3
- [Release notes](https://github.com/tqdm/tqdm/releases)
- [Commits](tqdm/tqdm@v4.65.0...v4.66.3)

---
updated-dependencies:
- dependency-name: transformers
  dependency-version: 4.53.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: deepspeed
  dependency-version: 0.15.1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: torch
  dependency-version: 2.8.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: tqdm
  dependency-version: 4.66.3
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-version: 4.53.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: deepspeed
  dependency-version: 0.15.1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: torch
  dependency-version: 2.8.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: tqdm
  dependency-version: 4.66.3
  dependency-type: direct:production
  dependency-group: pip
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot added dependencies Dependencies updates by Dependabot python Pull requests that update python code labels Mar 19, 2026
@dependabot dependabot bot mentioned this pull request Mar 19, 2026
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