# What does this PR do?
Fix GPTQ for models which do not have float16 at the default dtype
Before this change GPTQ models would not work if the model's default
data type is not `float16`. For example, Gemma GPTQ models would fail
because the default dtype of Gemma is `bfloat16`. There are two issues:
If the default `dtype` is not `float16`, the quantizer's `float16`
parameters get converted to that dtype. The kernels cannot deal
with non-`float16` types. The same applies to inputs of quantized ops.
This is resolved by setting the dtype of gptq/awq-quantized models to
`float16`.
Simpler version of #1951.
**Draft:** just testing...
## Before submitting
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