Multi GPU Fine tuning with DDP and FSDP

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unsloth multi gpu unslothmistral-7b, max_seq_length=max_seq_length, dtype=None Liger-Kernel: Increase 20% throughput and reduces 60% memory for multi-GPU training

To run the demo, a sufficiently powerful NVIDIA GPU is required We Next, we will install unsloth, which allows us to finetune the model unsloth pro price The one that I have found reasonably well is by using the –gpus flag This allows one queue to have one gpu and another queue to have the other

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unsloth multi gpu
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unsloth multi gpu unslothmistral-7b, max_seq_length=max_seq_length, dtype=None Liger-Kernel: Increase 20% throughput and reduces 60% memory for multi-GPU training

unsloth pro To run the demo, a sufficiently powerful NVIDIA GPU is required We Next, we will install unsloth, which allows us to finetune the model

The one that I have found reasonably well is by using the –gpus flag This allows one queue to have one gpu and another queue to have the other