Align scale dtype with model precision in GPTQ

[xiaowangintel]

Summary:
For general usage, align the data type of scale with model precision Instead of the default use of bfloat16.

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/2403

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❌ 2 New Failures, 1 Unrelated Failure

As of commit 407a86a with merge base 6a8887f ():

NEW FAILURES - The following jobs have failed:

• PR Label Check / Check PR Labels (gh)
  Process completed with exit code 1.
• Run TorchAO Experimental Tests / test-cpu-ops (linux.arm64.2xlarge) (gh)
  test_replace_q_dq_patterns_with_quantized_linear_ops_pass

BROKEN TRUNK - The following job failed but were present on the merge base:

👉 Rebase onto the `viable/strict` branch to avoid these failures

• Code Analysis with Ruff / build (3.9) (gh) (trunk failure)
  Process completed with exit code 1.

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[xiaowangintel]

@liangan1 @jerryzh168 please help to review this pr.

[liangan1]

LGTM