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Model fine-tuning with lora #73

@yzhoulv

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@yzhoulv

Thank you for your amazing work. However, we have identified some limitations in certain high-frequency specific scenarios. Therefore, we attempted further fine-tuning (LoRA, scenario-specific datasets) on the basis of your model. Yet, we also found that the top-k Mask of Block-Sparse-Attention used in the inference code has no gradients. We would like to consult you: how did you implement this in Step 2 of the training?

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