releases.shpreview

v1.9.0

v1.9.0: Trackio support, Model loading speedup, Minor distributed improvements

$npx -y @buildinternet/releases show rel_BSL339-7V604B-wIy-abf

Trackio tracker support

We've added support for a trackio, lightweight, πŸ’― free experiment tracking Python library built on top of πŸ€— Datasets and Spaces.

Screen Recording 2025-06-11 at 5 39 32β€―PM

Main features are:

  • Local-first design: dashboard runs locally by default. You can also host it on Spaces by specifying a space_id.
  • Persists logs locally (or in a private Hugging Face Dataset)
  • Visualize experiments with a Gradio dashboard locally (or on Hugging Face Spaces)
  • Everything here, including hosting on Hugging Faces, is free!

To use it with accelerate, you need to set log_with and initialize the trackers

accelerator = Accelerator(log_with="trackio")
config={"learning_rate": 0.001, "batch_size": 32}
# init_kwargs in order to host the dashboard on spaces
init_kwargs = {"trackio": {"space_id": "hf_username/space_name"}
accelerator.init_trackers("example_project", config=config, init_kwargs=init_kwargs})

Thanks @pcuenca for the integration !

Model loading speedup when relying set_module_tensor_to_device

Setting tensor while clearing cache is very slow, so we added clear_device option to disable it. Another small optimization is using non_blocking everywhere and syncing just before returning control to the user. This makes the loading slightly faster.

FDSP, Deepspeed, FP8 minor improvements

🚨🚨🚨 Breaking changes 🚨🚨🚨

find_executable_batch_size() will no longer halves the batch after every OOM. Instead, we will multiply the batch size by 0.9. This should help user not waste gpu capacity.

What's Changed

New Contributors

Full Changelog: https://github.com/huggingface/accelerate/compare/v1.8.1...v1.9.0

Fetched April 7, 2026