fix: accept **kwargs in Params4bit and Int8Params constructors

accelerate's set_module_tensor_to_device passes the old parameter's
__dict__ as **kwargs when reconstituting quantized parameters.
Transformers >= 5.x adds _is_hf_initialized to every parameter's
__dict__, but Params4bit.__new__ and Int8Params.__new__ had fixed
signatures — causing TypeError on any model loaded with
BitsAndBytesConfig + device_map="auto".

Add **kwargs to both constructors so unexpected attributes are silently
ignored instead of crashing.

Author: ajmeese7

bitsandbytes/nn/modules.py

@@ -222,6 +222,7 @@ def __new__(
         quant_storage: torch.dtype = torch.uint8,
         module: Optional["Linear4bit"] = None,
         bnb_quantized: bool = False,
+        **kwargs,
     ) -> "Params4bit":
         if data is None:
             data = torch.empty(0)
@@ -680,6 +681,7 @@ def __new__(
         has_fp16_weights=False,
         CB: Optional[torch.Tensor] = None,
         SCB: Optional[torch.Tensor] = None,
+        **kwargs,
     ):
         if data is None:
             data = torch.empty(0)