model = FastLanguageModel.get_peft_model(
model,
r = 64, # Choose any number > 0 ! Suggested 8, 16, 32, 64, 128
target_modules = ["q_proj", "k_proj", "v_proj", "o_proj",
"gate_proj", "up_proj", "down_proj",],
lora_alpha = 8,
lora_dropout = 0.2, # Supports any, but = 0 is optimized
bias = "none", # Supports any, but = "none" is optimized
use_gradient_checkpointing = "unsloth",
random_state = 3407,
use_rslora = False, #
loftq_config = None, # And LoftQ
)
Model Details
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