Comments (1)
DeepSpeed is not fully public. At time of writing it includes hardcoded references to unreleased functions and does not possess all of the features described in the DeepSpeed papers. Our DeeperSpeed is a drop-in replacement for the DeepSpeed library that is almost entirely the same code, with minor bug fixes and our improvements on the components that are not yet public.
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Related Issues (20)
- Error on inference of huggingface HOT 2
- Update to current versions of python and pytorch
- files in multi-node training HOT 2
- NCCL error in: ProcessGroupNCCL.cpp:1269, internal error, NCCL version 2.14.3 HOT 4
- Add basic Mamba block
- How to convert gpt-neox to llama architecture..? HOT 1
- Add PyTorch Memory Profiler
- continue training from a checkpoint with different number of gpu/node HOT 1
- PyTorch Lightning Fused optimizer step
- Converting Pythia checkpoint from HF to NeoX fails HOT 3
- Is there a way to train on the entire dataset for N epochs without specifying train-iters? HOT 4
- Dockerfile installation fails to run pythia 14M HOT 2
- Add Basic RWKV Block to GPT-NeoX
- pipe_parallel_size = 1 using DeepSpeed PipelineEngine HOT 1
- بهترین تعمیرگاه موبایل در مشهد مقدس HOT 1
- MoE loss variable not defined in gpt j residual code path
- Large model instantiation using `DeepSpeed.zero.Init` under ZeRO-3 HOT 1
- is there any ignore_index ability in the loss calculation? HOT 2
- My servers used for multi-node training do not have ssh. How can I launch multi-node training using the torchrun command? HOT 1
- LoRA Support HOT 1
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