Update CT WNA16MarlinMoE integration

[mgoin]

Updates to enable the kernel changes from #14447 and #16850 in CT

vllm serve RedHatAI/Qwen3-30B-A3B-quantized.w4a16 --port 9000
lm_eval --model local-completions --model_args model=RedHatAI/Qwen3-30B-A3B-quantized.w4a16,base_url=http://0.0.0.0:9000/v1/completions,num_concurrent=500,tokenized_requests=False --tasks gsm8k --num_fewshot 5
local-completions (model=RedHatAI/Qwen3-30B-A3B-quantized.w4a16,base_url=http://0.0.0.0:9000/v1/completions,num_concurrent=500,tokenized_requests=False), gen_kwargs: (None), limit: None, num_fewshot: 5, batch_size: 1
|Tasks|Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
|-----|------:|----------------|-----:|-----------|---|-----:|---|-----:|
|gsm8k|      3|flexible-extract|     5|exact_match|↑  |0.8779|±  |0.0090|
|     |       |strict-match    |     5|exact_match|↑  |0.8802|±  |0.0089|

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[tlrmchlsmth]

Are there cases where we raise a ValueError now where we didn't before?

[mgoin]

Not really. The limitations of the marlin or triton kernels have not changed under the hood, however we are now actually checking these at a higher level. So this is just failing faster

[tlrmchlsmth]

Just one Q on the code that chooses between CompressedTensorsWNA16MoEMethod and CompressedTensorsWNA16MarlinMoEMethod. Otherwise LGTM