Comments (1)
Fixed by #62. Thanks for flagging and fixing :-)
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Related Issues (20)
- Multiple processes on CPUs
- 4-bit quantization cannot load weights to meta device for bias terms of the linear layer: NotImplementedError: Cannot copy out of meta tensor; no data!
- SageMaker config stopped working in Accelerate version 0.29+ HOT 1
- Does Accelerate support tensor parallelism?
- can't set `enable_cpu_affinity` through accelerate config in version 0.31.0.dev0
- PicklingError: Can't pickle <function Embedding.forward at XXXXXXX> it's not the same object as torch.nn.modules.sparse.Embedding.forward HOT 5
- Duplicate elements in `split_between_processes` HOT 4
- Performance on single GPU is much better than on Multi-GPUs HOT 3
- How to specify the backend of Trainer
- Cuda Out of memory while loading PEFT weights using accelerate on multi gpu
- Accelerate 0.30.0 Breaks FSDP QLora HOT 5
- Accelerate FSDP RuntimeError: Tensors of the same index must be on the same device and the same dtype
- minor typo in Accelerator docs
- Multi GPU process stuck in the dataloader loop, single GPU works fine. HOT 7
- accelerate test does not work when using 3 GPUs
- pydantic.errors.PydanticUserError: A non-annotated attribute was detected: `is_crew_class = True` HOT 1
- unexpected lr scheduler behavior when using accelerate HOT 8
- Error while trying to fine-tune using FSDP on a TPU HOT 1
- Unable to load mistralai/Mixtral-8x7B-Instruct-v0.1 using mps HOT 5
- Unable to launch DeepSpeed multinode training with a heterogenous mix of # devices per node. HOT 4
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