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* handle missing scale_inv_name Fixed an issue where `weight` and `weight_scale_inv` (e.g. `model.layers.39.mlp.experts.92.gate_proj.weight` and `model.layers.39.mlp.experts.92.gate_proj.weight_scale_inv`) were not in the same SafeTensor, causing an assertion error due to scale_inv_name not being in the state_dict. * sort filename to reduce memory costs * Add CUDA cache clearing in memory management Added torch.cuda.empty_cache() to free up unused memory on the GPU,