This seems sporadic ci failure unrelated to PR:

FAILED tests/utils/test_modeling_utils.py::ModelUtilsTest::test_from_pretrained_low_cpu_mem_usage_equal - AssertionError: 424.6015625 != 426.8125 within 2 delta (2.2109375 difference) : using `low_cpu_mem_usage` should incur the same memory usage in both cases.

Hey! Thanks, these functions are completely deprecated and the recommended API is to use accelerate's device_map = "auto" instead!

Thank you for you feedback. I saw deprecation warnings and that's why I implemented this only for one model :). @ArthurZucker : I am trying to make ci passing clean for XPU backend. I totally understand if maintainers want to avoid changing deprecated stuff which will be dropped at some point. However I would like to raise a question on what can be done for the sake of clean ci? If decision is (and your reply hints it is) to not enable model_parallel for other non-CUDA backends, then associated tests should probably be marked as CUDA specific and excluded for non-CUDA. If that's the direction - I will submit another PR to mark these tests as CUDA specific.

Let's mark these tests as cuda specific. Thanks for your contribution!

Let's mark these tests as cuda specific. Thanks for your contribution!

Will do. Thank you for guidance!

I've submitted #35269 to mark tests with @require_torch_gpu.