| from unsloth import FastVisionModel |
| from consts import BASE_MODEL |
|
|
|
|
| def setup_model(model: str) -> tuple: |
| model, tokenizer = FastVisionModel.from_pretrained( |
| BASE_MODEL, |
| load_in_4bit = True, |
| use_gradient_checkpointing = "True", |
| ) |
| |
| model = FastVisionModel.get_peft_model( |
| model, |
| finetune_vision_layers = False, |
| finetune_language_layers = True, |
| finetune_attention_modules = True, |
| finetune_mlp_modules = True, |
|
|
| r = 16, |
| lora_alpha = 16, |
| lora_dropout = 0, |
| bias = "none", |
| random_state = 3407, |
| use_rslora = False, |
| loftq_config = None, |
| use_gradient_checkpointing = "True" |
| ) |
|
|
| return model, tokenizer |
|
|