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Thanks for your contribution and we appreciate it a lot. The following instructions would make your pull request more healthy and more easily get feedback. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers.
Motivation
Support more models in InternEvo.
Modification
the attention implementation of qwen2 is sliding-window-attention, we add SWA class for this model. This is a new feature of flash-attn, with version after v2.3.0.
the attention implementation of baichuan2 is MHA, with enable_qkv_fusion is True.
support gelu, support add_unit_offset in layer_norm computation, support user defined head_dim in GQA
accuracy test result is as follows:

qwen2:
isp vs dp:
isp load internevo saved ckpt:

isp load hf ckpt:

baichuan2:

isp vs dp:
isp load internevo saved ckpt:

isp load hf ckpt:

gemma:

isp vs dp:
isp load internevo saved ckpt:

isp load hf ckpt:

BC-breaking (Optional)
Does the modification introduce changes that break the backward compatibility of the downstream repositories?
If so, please describe how it breaks the compatibility and how the downstream projects should modify their code to keep compatibility with this PR.
Use cases (Optional)
If this PR introduces a new feature, it is better to list some use cases here and update the documentation.
Checklist
Before PR:
After PR: