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Merged
pnunna93 merged 1 commit into from
Jun 20, 2025
Merged

Update functional.py #80

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4 changes: 2 additions & 2 deletions bitsandbytes/functional.py
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Original file line number Diff line number Diff line change
Expand Up @@ -908,7 +908,7 @@ def quantize_4bit(
absmax (`torch.Tensor`, *optional*): A tensor to use to store the absmax values.
out (`torch.Tensor`, *optional*): A tensor to use to store the result.
blocksize (`int`, *optional*):
The size of the blocks. Defaults to 64.
The size of the blocks. Defaults to 128 on ROCm and 64 otherwise.
Valid values are 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`.
Expand Down Expand Up @@ -1019,7 +1019,7 @@ def dequantize_4bit(
Required if `quant_state` is not provided and ignored otherwise.
out (`torch.Tensor`, *optional*): A tensor to use to store the result.
blocksize (`int`, *optional*):
The size of the blocks. Defaults to 64.
The size of the blocks. Defaults to 128 on ROCm and 64 otherwise.
Valid values are 64, 128, 256, 512, 1024, 2048, and 4096.
quant_type (`str`, *optional*): The data type to use: `nf4` or `fp4`. Defaults to `fp4`.

Expand Down