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[deps] update to transformers 4.52 (#8125)

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hoshi-hiyouga
2025-05-21 05:16:18 +08:00
committed by GitHub
parent 56926d76f9
commit 9ae17cd173
28 changed files with 365 additions and 109 deletions
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24
tests/model/model_utils/test_visual.py
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@@ -16,6 +16,7 @@ import pytest
import torch
from transformers import AutoConfig, AutoModelForVision2Seq
from llamafactory.extras.packages import is_transformers_version_greater_than
from llamafactory.hparams import FinetuningArguments, ModelArguments
from llamafactory.model.adapter import init_adapter
@@ -45,10 +46,12 @@ def test_visual_full(freeze_vision_tower: bool, freeze_multi_modal_projector: bo
assert param.requires_grad != freeze_language_model
@pytest.mark.parametrize("freeze_vision_tower", (False, True))
def test_visual_lora(freeze_vision_tower: bool):
@pytest.mark.parametrize("freeze_vision_tower,freeze_language_model", ((False, False), (False, True), (True, False)))
def test_visual_lora(freeze_vision_tower: bool, freeze_language_model: bool):
model_args = ModelArguments(model_name_or_path="Qwen/Qwen2-VL-2B-Instruct")
finetuning_args = FinetuningArguments(finetuning_type="lora", freeze_vision_tower=freeze_vision_tower)
finetuning_args = FinetuningArguments(
finetuning_type="lora", freeze_vision_tower=freeze_vision_tower, freeze_language_model=freeze_language_model
)
config = AutoConfig.from_pretrained(model_args.model_name_or_path)
with torch.device("meta"):
model = AutoModelForVision2Seq.from_config(config)
@@ -61,10 +64,15 @@ def test_visual_lora(freeze_vision_tower: bool):
else:
frozen_params.add(name)
if freeze_vision_tower:
assert "base_model.model.visual.blocks.0.attn.qkv.lora_A.default.weight" not in trainable_params
if is_transformers_version_greater_than("4.52.0"):
visual_param_name = "base_model.model.model.visual.blocks.0.attn.qkv.lora_A.default.weight"
language_param_name = "base_model.model.model.language_model.layers.0.self_attn.q_proj.lora_A.default.weight"
merger_param_name = "base_model.model.model.visual.merger.lora_A.default.weight"
else:
assert "base_model.model.visual.blocks.0.attn.qkv.lora_A.default.weight" in trainable_params
visual_param_name = "base_model.model.visual.blocks.0.attn.qkv.lora_A.default.weight"
language_param_name = "base_model.model.model.layers.0.self_attn.q_proj.lora_A.default.weight"
merger_param_name = "base_model.model.visual.merger.lora_A.default.weight"
assert "merger" not in trainable_params
assert "base_model.model.model.layers.0.self_attn.q_proj.lora_A.default.weight" in trainable_params
assert (visual_param_name in trainable_params) != freeze_vision_tower
assert (language_param_name in trainable_params) != freeze_language_model
assert (merger_param_name in trainable_params) is False