This is a sub-issue forming part of the work in #38379, please read the description of this issue before beginning to work on this one.
Which test is failing?
As of huggingface/transformers#41250 the ignore_keys argument to validate_rope was removed in favour of ClassVars (ignore_keys_at_rope_validation) attached to the config classes themselves.
$ pytest tests/models/test_initialization.py::test_can_initialize_large_subset[SarvamMLAForCausalLM]
...
TypeError: RotaryEmbeddingConfigMixin.validate_rope() got an unexpected keyword argument 'ignore_keys'
How to configure my environment?
It's very important that you install both vLLM and Transformers from source so that your test results reflect the current state of both libraries.
# Or your fork
git clone https://github.com/huggingface/transformers.git
git clone https://github.com/vllm-project/vllm.git
cd vllm
VLLM_USE_PRECOMPILED=1 uv pip install -e .
uv pip install -e ../transformers
This is a sub-issue forming part of the work in #38379, please read the description of this issue before beginning to work on this one.
Which test is failing?
As of huggingface/transformers#41250 the
ignore_keysargument tovalidate_ropewas removed in favour ofClassVars (ignore_keys_at_rope_validation) attached to the config classes themselves.How to configure my environment?
It's very important that you install both vLLM and Transformers from source so that your test results reflect the current state of both libraries.