Support exaone4 model

[zhaohb]

Just for EXAONE-4.0-1.2B

ticket : 175853

[rkazants]

Please provide tests and JIRA ticket.

[HuggingFaceDocBuilderDev]

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[zhaohb]

Please provide tests and JIRA ticket.

Hi, I had add JITA ticket and tests.
Thank you very much.

[rkazants]

since we have already supported previous "exaone" version. Please add tests for quantization. It should work as well.

[zhaohb]

However, when applying quantization, feature-extraction works correctly, but text-classification throws an error:

nncf.errors.InvalidGroupSizeError: Compression of the '__module.model.rotary_emb/aten::matmul/MatMul' layer failed with the following error:
Channel size 1 should be divisible by size of group 128.
Ensure that the group size is divisible by the channel size, or include this node and others with similar issues in the ignored scope:
nncf.compress_weight(
        ...,
        ignored_scope=IgnoredScope(names=["__module.model.rotary_emb/aten::matmul/MatMul"]
        )
)

[nikita-savelyevv]

However, when applying quantization, feature-extraction works correctly, but text-classification throws an error:

nncf.errors.InvalidGroupSizeError: Compression of the '__module.model.rotary_emb/aten::matmul/MatMul' layer failed with the following error:
Channel size 1 should be divisible by size of group 128.
Ensure that the group size is divisible by the channel size, or include this node and others with similar issues in the ignored scope:
nncf.compress_weight(
        ...,
        ignored_scope=IgnoredScope(names=["__module.model.rotary_emb/aten::matmul/MatMul"]
        )
)

What version of nncf you are using?

[zhaohb]

@nikita-savelyevv I don't think this error is related to the NNCF. It's more likely an issue with my dummy model.
I will double check that. thank you.

[nikita-savelyevv]

@zhaohb It could be, because there was a fix addressing this issue. In any case I would suggest to update to NNCF v 2.18

[zhaohb]

@nikita-savelyevv
Hi, the issue disappeared after upgrading to version 2.18. It wasn't a problem with the dummy model after all.
Thank you!