Related Issues (20)
- [BUG] DeepSpeed hangs during evaluation under multi-GPU HOT 7
- [QUESTION/HELP] about ignore_unused_parameters hang HOT 1
- [Question] Deepspeed inference stage 3 + quantization
- pydantic.errors.PydanticUserError: A non-annotated attribute was detected: `enabled = True`. All model fields require a type annotation; if `enabled` is not meant to be a field, you may be able to resolve this error by annotating it as a `ClassVar` or updating `model_config['ignored_types']`. HOT 2
- [REQUEST] Deepspeed support finetune extra large model with lora + pipeline ?
- [BUG] Fail to Resume From Checkpoint with Different GPU Number(Huggingface Trainer + Deepspeed) HOT 16
- [BUG] Mis-typed free_blocks
- [BUG] Gradient Accumulation Steps Initialization Bug in Pipeline Parallel Mode
- nv-ds-chat CI test failure HOT 1
- [BUG]Zero inference return bad result and low speed inference HOT 1
- When using pure DeepSpeed ulysses and zero stage 3 to continue pre-training, the loss gap between each GPU is too large.[BUG] HOT 2
- [BUG] AttributeError deepspeed.comm has no attribute Processgroup HOT 3
- [BUG] Tensors are on different devices when model.step() HOT 13
- Is there any solusion to overcome underflow issues? HOT 2
- [BUG] Trying to finetune mistral using deepspeed but running into an error: Error building extension 'cpu_adam' HOT 1
- [BUG] No `universal_checkpoint_info` in the Accelerate+Deepspeed Checkpoint HOT 6
- nv-nightly CI test failure HOT 1
- [BUG] (flops_profiler) Duplicate registration check for start_time_hook is not working
- [BUG: Whisper model pipeline parallel training] logits and ground truth size mismatch during loss calculation
- [Q&A] Why Deepspeed Ulysses could support long sequence length?
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