[Bugfix][Hardware][AMD][Frontend] add quantization param to embedding checking method

[gongdao123]

FIX #7512 (link existing issues this PR will resolve)

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[github-actions]

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[gongdao123]

/ready

[mgoin]

Thanks for bugfix!

[robertgshaw2-neuralmagic]

Can you explain how this fixes the issue?

This embedding check has nothing to do with Quantization

[hongxiayang]

From the issue #7512 about gptq_marlin not supported error, it seems that the fix should be in the

vllm/vllm/config.py

Line 243 in 3f674a4

rocm_supported_quantization = ["gptq", "squeezellm"]

to add the gptq_marlin to the list as that was detected as the quantization.

Otherwise, if using the fix in this PR, you need to pass gptq, and then you will get a warning from this line

vllm/vllm/config.py

Line 292 in 3f674a4

if self.quantization not in optimized_quantization_methods:

[gongdao123]

From the issue #7512 about gptq_marlin not supported error, it seems that the fix should be in the

vllm/vllm/config.py

Line 243 in 3f674a4

rocm_supported_quantization = ["gptq", "squeezellm"]

to add the gptq_marlin to the list as that was detected as the quantization.

Otherwise, if using the fix in this PR, you need to pass gptq, and then you will get a warning from this line

vllm/vllm/config.py

Line 292 in 3f674a4

if self.quantization not in optimized_quantization_methods:

The quantization gptq param is needed for actual model inference not only embedding checking step.

So you can confirm rocm can support gptq_marlin quantization?
I didn't see it in ROCm's offical doc. @hongxiayang

[hongxiayang]

So you can confirm rocm can support gptq_marlin quantization? I didn't see it in ROCm's offical doc. @hongxiayang

I got your point, and I am ok with your changes as long as your workload is ok now.