Related Issues (20)
- [BUG] Fine-tuned model outputs are empty. HOT 2
- [BUG] 1-bit LAMB not compatible with bf16
- [BUG] localhost: Permission denied, please try again. with single node and multi-gpus with --autotuning run HOT 1
- [REQUEST] Does Universal Checkpoint supports for MoE Checkpoint? HOT 3
- Different seeds are giving the exact same loss on Zero 1,2 and 3 during multi gpu training [BUG]
- [BUG] fp16 not supported for CPU? HOT 1
- Issue with LoRA Tuning on llama3-70b using PEFT and TRL's SFTTrainer
- [REQUEST] Asynchronous Checkpointing HOT 1
- [BUG] ImportError: /home/nlp/.cache/torch_extensions/py310_cu121/cpu_adam/cpu_adam.so: cannot open shared object file: No such file or directory HOT 3
- CUDA error: no kernel image is available for execution on the device [BUG]
- lr scheduler defined in config cannot be overwritten by lr scheduler defined in code and pass to `deepspeed.initialize` [BUG]
- [BUG] PipelineEngine calculates loss with outputs and labels from different batches. HOT 1
- [BUG] Learning rate scheduler and optimizer logical issue
- In distributed training, in order to continue training, an error occurred when loading model checkpoints after saving them.
- DS communication issue when using NCCL backend: All_reduce instead of reduce_scatter (or several reduce ops) HOT 5
- [BUG] I can't run fp8 with pipeline parallel HOT 2
- [BUG] Multi-gpu stuck when the computation graph is not complete for wach process.
- [BUG] Multi-node fine-tuning with thunderbolt HOT 2
- Multi-node multi-GPUs training is slower than single-node multi-GPUs training[BUG] HOT 2
- Default libcurand path fails HOT 4
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