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model = FastLanguageModel.get_peft_model( model, r = 32 , target_modules = ["q_proj", "k_proj", "v_proj", "o_proj", "gate_proj", "up_proj", "down_proj",], lora_alpha = 16, lora_dropout = 0.2, bias = "none",
use_gradient_checkpointing = "unsloth", random_state = 3407, use_rslora = False, # loftq_config = None, # And LoftQ )

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