quantization: process tensors on meta device directly, maybe implement CPU quantization (if it is easy)

Currently the BitsAndBytesLinearQuant4bit for submodule always calls `bitsandbytes.functional.quantize_4bit`. This is somewhat touchy for CPU tensors because `quantize_4bit` only works on GPU tensors but it is outright not so nice for meta tensors, where we only would need to get the right shapes.

https://github.com/Lightning-AI/lightning-thunder/blob/e64d347def39bb47101efafe4177adf9f77a63ec/thunder/transforms/quantization.py#L93-L103

Inspect thunder/transforms/quantization.py around lines 93-103 and trace how BitsAndBytesLinearQuant4bit handles meta and CPU tensors. Confirm the expected tensor shapes and the behavior of bitsandbytes.functional.quantize_4bit; done means meta tensors no longer require GPU quantization, with CPU behavior addressed if supported.

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