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  • Checkpoint persistence: mount /checkpoints from S3 for automatic checkpoint saving
  • Resume from checkpoint: all training jobs now support --resume_from_checkpoint to automatically resume from latest checkpoint
  • WandB integration: (optional) experiment tracking with unique run IDs based on SKYPILOT_TASK_ID

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@romilbhardwaj romilbhardwaj left a comment

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Thanks @alex000kim!

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@romilbhardwaj romilbhardwaj left a comment

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thanks @alex000kim!

NP=$(($SKYPILOT_NUM_GPUS_PER_NODE * $SKYPILOT_NUM_NODES))
python /sft/train.py --model_id openai/gpt-oss-120b --enable_lora
python /sft/train.py --model_id openai/gpt-oss-120b --enable_lora --resume_from_checkpoint
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just to confirm - if the bucket file_mounts above is not specified, this line still works, right?

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Yes. If there's no bucket mounted to /checkpoints then this folder will be created on a local disk: https://github.com/alex000kim/skypilot/blob/6c988f4f63d4573e4fe9f02753025a0d4fee9333/llm/gpt-oss-finetuning/sft/train.py#L161

@romilbhardwaj romilbhardwaj merged commit 4f66cb0 into skypilot-org:master Nov 5, 2025
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2 participants