I want to fine tune Lora-FLUX.2-klein-base-4B, but it's still downloading Mistral-3 text encoder from mistralai/Mistral-Small-3.1-24B-Instruct-2503...

{ "data_backend_config": "config/multidatabackend.json", "model_type": "lora", "model_family": "flux2", "model_flavour": "klein-4b", "pretrained_model_name_or_path": "/home/ubuntu/SAR/LORA/models/FLUX.2-klein-base-4B", "seed": 42, "output_dir": "/home/ubuntu/SAR/LORA/models/Lora-FLUX.2-klein-base-4B", "train_batch_size": 1, "gradient_accumulation_steps": 2, "gradient_checkpointing": true, "mixed_precision": "bf16", "optimizer": "adamw_bf16", "learning_rate": 1e-5, "lr_scheduler": "cosine", "max_train_steps": 10000, "num_train_epochs": 0, "checkpoint_step_interval": 1000, "flux_lora_target": "all" , "validation_seed": 42, "validation_step_interval": 200, "validation_resolution": "256x256", "validation_num_inference_steps": 30, "lora_rank": 16 } here is my cofig,