docstring update

Author: Abdennacer-Badaoui

bitsandbytes/functional.py

@@ -842,7 +842,7 @@ def quantize_4bit(
         out (`torch.Tensor`, *optional*): A tensor to use to store the result.
         blocksize (`int`, *optional*):
             The size of the blocks. Defaults to 128 on ROCm and 64 otherwise.
-            Valid values are 64, 128, 256, 512, 1024, 2048, and 4096.
+            Valid values are 32, 64, 128, 256, 512, 1024, 2048, and 4096.
         compress_statistics (`bool`, *optional*): Whether to additionally quantize the absmax values. Defaults to False.
         quant_type (`str`, *optional*): The data type to use: `nf4` or `fp4`. Defaults to `fp4`.
         quant_storage (`torch.dtype`, *optional*): The dtype of the tensor used to store the result. Defaults to `torch.uint8`.
@@ -953,7 +953,7 @@ def dequantize_4bit(
         out (`torch.Tensor`, *optional*): A tensor to use to store the result.
         blocksize (`int`, *optional*):
             The size of the blocks. Defaults to 128 on ROCm and 64 otherwise.
-            Valid values are 64, 128, 256, 512, 1024, 2048, and 4096.
+            Valid values are 32, 64, 128, 256, 512, 1024, 2048, and 4096.
         quant_type (`str`, *optional*): The data type to use: `nf4` or `fp4`. Defaults to `fp4`.
 
     Raises: