Comments (5)
See #15 for a similar issue. In short, this work relies on libcudart.so
and libcuda.so
, which are only really usable on Linux.
With other words, there is currently no Windows support. See also #30 on the topic of Windows support.
Perhaps this should be clarified briefly in the README somewhere? @TimDettmers
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Thanks for the reply @tomaarsen. Yes, the documentation on this is a bit lagging and it might be better to add this to the readme. I will add it with CUDA 11.8 support.
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This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.
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Thanks for the reply @tomaarsen. Yes, the documentation on this is a bit lagging and it might be better to add this to the readme. I will add it with CUDA 11.8 support.
Please update the README so that it will be useful for folks trying on Windows?
from bitsandbytes.
@rajasblack Windows currently needs compilation from source as described here
There's currently a lot of work done on that front and things are still in flux. But installing from source things should work.
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Related Issues (20)
- CUDA Setup failed despite GPU being available. Please run the following command to get more information: python -m bitsandbytes HOT 3
- Win10 + WSL2 + Ubuntu 20.04 + miniconda :CUDA SETUP: CUDA detection failed! HOT 4
- NVIDIA TX2+jetpack 5+Ubuntu20.4:No matching distribution found for bitsandbytes==0.43.0 HOT 3
- Not work for CUDA Version: 12.4 HOT 7
- NVIDIA TX2+jetpack 5+Ubuntu20.4: CUDA Setup failed despite GPU being available HOT 2
- DBRX Support HOT 4
- Win&cuda12.1
- Tensor support for quantize_nf4 HOT 1
- Quantizing models with bitsandbytes
- Stochastic rounding support for 8-bit optimizers HOT 1
- AttributeError: module 'bitsandbytes' has no attribute 'nn' HOT 4
- Path is broken in Stable Diffusion after installing extension.
- CUDA Setup failed despite GPU being available. HOT 4
- HTTP ERROR 403. It says: 127.0.0.1 refused^ HOT 1
- bitsandbytes cuda library error HOT 1
- [QUESTION] does setting load_in_4bit=True use w4a4, w4a8 or w4a16 ?
- TypeError: Input tensors need to be on the same GPU, but found the following tensor and device combinations HOT 1
- NameError: name 'str2optimizer32bit' is not defined HOT 2
- torch compile support?
- 32 bit optimizer update error despite gradients being the same HOT 4
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