mirror of
https://github.com/hiyouga/LLaMA-Factory.git
synced 2025-08-03 04:02:49 +08:00
1fee69f874
* fix llamapro script * change year Former-commit-id: e2dc5b952aa22835d5220ba624f44676138b65ac
44 lines
1.5 KiB
Python
44 lines
1.5 KiB
Python
# Copyright 2025 the LlamaFactory team.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
|
|
import os
|
|
|
|
import pytest
|
|
import torch
|
|
from transformers import AutoConfig, AutoModelForCausalLM
|
|
|
|
from llamafactory.model.model_utils.misc import find_expanded_modules
|
|
|
|
|
|
HF_TOKEN = os.getenv("HF_TOKEN")
|
|
|
|
|
|
@pytest.mark.skipif(not HF_TOKEN, reason="Gated model.")
|
|
def test_expanded_modules():
|
|
config = AutoConfig.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct")
|
|
with torch.device("meta"):
|
|
model = AutoModelForCausalLM.from_config(config)
|
|
|
|
expanded_modules = find_expanded_modules(model, ["q_proj", "v_proj"], num_layer_trainable=4)
|
|
assert expanded_modules == [
|
|
"model.layers.7.self_attn.q_proj",
|
|
"model.layers.7.self_attn.v_proj",
|
|
"model.layers.15.self_attn.q_proj",
|
|
"model.layers.15.self_attn.v_proj",
|
|
"model.layers.23.self_attn.q_proj",
|
|
"model.layers.23.self_attn.v_proj",
|
|
"model.layers.31.self_attn.q_proj",
|
|
"model.layers.31.self_attn.v_proj",
|
|
]
|