Comments (1)
We are deploying an update today and it is expected that bitsandbytes-cuda111 is no longer working. Please use pip install bitsandbytes
instead. Thank you!
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Related Issues (20)
- NameError: name 'str2optimizer32bit' is not defined HOT 2
- torch compile support?
- 32 bit optimizer update error despite gradients being the same HOT 4
- Quantized model using load_in_8bit produces very different results on T4 vs V100 GPU on Colab
- NameError: name 'str2optimizer32bit' is not defined
- CUDA Setup failed despite CUDA being Available :: NameError: name 'str2optimizer32bit' is not defined HOT 3
- bitsandbytes interprets URLs from environment variables as paths HOT 2
- Bug issues
- error on VectorstoreIndexCreator HOT 4
- CONTRIBUTING.md references Meta CLA HOT 1
- bitsandbytes import error in colab
- Could not run Kohya
- PicklingError: Can't pickle <function Embedding.forward at XXXXXXX> it's not the same object as torch.nn.modules.sparse.Embedding.forward
- AttributeError: 'NoneType' object has no attribute 'split' CUDA Setup failed despite CUDA being available.
- Mistral-v0.1 nf4 is not quantized into 4bit HOT 1
- RuntimeError: CUDA Setup failed despite GPU being available. Please run the following command to get more information: HOT 1
- problem with loading my finetuned Llama2 model - type object 'Params4bit' has no attribute 'from_prequantized'
- undefined symbol: cdequantize_blockwise_fp32 HOT 1
- AnimateDiff SDXL won't run
- AttributeError: 'NoneType' object has no attribute 'cquantize_blockwise_fp16_nf4'
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