Fix bnb Params4bit.shape tuple (.numel via math.prod); unpin bitsandbytes for cu130

diffusers_src/src/diffusers/quantizers/bitsandbytes/bnb_quantizer.py

@@ -16,6 +16,7 @@ Adapted from
 https://github.com/huggingface/transformers/blob/c409cd81777fb27aadc043ed3d8339dbc020fb3b/src/transformers/quantizers/quantizer_bnb_4bit.py
 """
 
+import math
 from typing import TYPE_CHECKING, Any
 
 from ...utils import get_module_from_name
@@ -209,7 +210,8 @@ class BnB4BitDiffusersQuantizer(DiffusersQuantizer):
         current_param_shape = current_param.shape
         loaded_param_shape = loaded_param.shape
 
-        n = current_param_shape.numel()
+        # newer bitsandbytes returns Params4bit.shape as a plain tuple (no .numel()); math.prod handles both.
+        n = math.prod(current_param_shape)
         inferred_shape = (n,) if "bias" in param_name else ((n + 1) // 2, 1)
         if loaded_param_shape != inferred_shape:
             raise ValueError(

requirements.txt

@@ -1,7 +1,7 @@
 transformers==5.8.0
 peft==0.19.1
 accelerate==1.10.1
-bitsandbytes==0.47.0
+bitsandbytes
 sentencepiece
 outlines==1.3.0
 pydantic>=2