Related Issues (20)
- Error when using map_location="cuda:0" with multiple GPUs HOT 1
- ModuleNotFoundError: No module named 'torch._higher_order_ops' HOT 1
- misleading error message in `safe_open` HOT 4
- Register a MIME type for the `safetensors` format. HOT 1
- README is inaccurate HOT 3
- Unable to save llama3 since complex64 is not supported HOT 1
- How to save model checkpoint from a distributed training from multiple nodes? HOT 2
- Compilation fail due to test error HOT 3
- SafetensorError is not pickleable, potentially causing hangs in multi-process environments HOT 2
- inconsistent behavior of slicing in certain model file HOT 4
- get_slice has the same speed as get_tensor HOT 1
- get_tensor returns an empty tensor on LoRa safetensors adapter saved by SFTTrainer HOT 1
- pytorch: safetensors library hardcodes using CUDA if only device index is provided HOT 3
- Wrong device when using device="cpu" with torch.device HOT 3
- Problem serializing quantized weights HOT 3
- Some layers are not loaded(‘encoder.embed_token.weight’ and 'shared.weight') when loading converted safetensors into transfomrers.MT5EncoderModel.
- Retrieving saved metadata HOT 3
- SafetensorError does not appear in `__init__.pyi`
- add remapping to safetensors.torch.load_model
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from safetensors.