Sync huggingface modifications of qwen Moe model

[eigen2017]

nearly huggingface merged my pr：https://github.com/huggingface/transformers/pull/30552/files

i introduced a new config "mlp_only_layers" to qwen Moe model,
i think vllm should keep the same model forward logic as huggingface model definations.
so this pr is for sync huggingface modifications of qwen Moe model.

the new config "mlp_only_layers" is to set cut which layers' experts, for fit to limited HBM or other creative scenarios.

1. change in Qwen2MoeDecoderLayer is to sync huggingface modifications of the model.
2. change in load_weights is when mlp_only_layers is not empty, "self.named_parameters()" do not have all weights(because some experts have been cut), it'll cause exception when doing "param = params_dict[name]".
3. it's also a bug in the original version of qwen2_moe.py, when set decoder_sparse_step > 1, experts also been cut, and name is not in params_dict, params_dict[name] will cause expceptions.
4. what ever, check the params_dict's key "name" exsist or not before read params_dict[name] is safer.

i'm willing to contribute to great vllm ~~ any reply is welcomed~ thks ^_^

[eigen2017]

i'll fix the CI warns soon.

[eigen2017]

this issue can be solved：
#4369

and these issues can be solved when using MoE models：
#3931
#3563

[eigen2017]

@WoosukKwon @zhuohan123
could you please arrage someone to review my pr ?
thanks~~

[eigen2017]

amd test said:
requests.exceptions.HTTPError: 401 Client Error: Unauthorized for url: https://huggingface.co/meta-llama/Llama-2-7b-chat-hf/resolve/main/config.json

Failed to connect to localhost port 8000: Connection refused
timeout 600 bash -c 'until curl localhost:8000/v1/models; do sleep 1; done'

it's likely to be a bug of the scanner, i try it again

[eigen2017]

@WoosukKwon @zhuohan123 now ci passed, could you please give a review？thanks ^_^

[simon-mo]

@JustinLin610 can you help take a look at this? Thank you! 🙏

[eigen2017]

@JustinLin610 can you help take a look at this? Thank you! 🙏

thank you for replying!

@JustinLin610 HI ^_^ ，qwen member, could you please give this pr a review? thanks!

[eigen2017]

@JustinLin610 @yangapku @simonJJJ @logicwong @JianxinMa @hzhwcmhf @fyabc @huybery
各位阿里千问member灯塔级大神，谁能帮忙确认一下这个pr嘛？
欢迎帮忙提供任何观点，多谢啦！！

[bozheng-hit]

I think the PR is functionally okay.

[eigen2017]

I think the PR is functionally okay.

thank you for your approvement!!

@simon-mo HI ~ it seems qwen members are all very busy ...

[JustinLin610]

bo is our member. yes, i just noticed that this is merged into transformers. somehow it is not necessary cuz we do not have this setup for our models, but functionally it is ok. i think it is okay to merge it. @eigen2017 @simon-mo

[eigen2017]

bo is our member. yes, i just noticed that this is merged into transformers. somehow it is not necessary cuz we do not have this setup for our models, but functionally it is ok. i think it is okay to merge it. @eigen2017 @simon-mo

thank you very much！yes it's functional ok and don't change anything if not set.

@simon-mo if anything else needed for merg this pr please tell me,

[78]

config.mlp_only_layers should have a default value.