Spaces:
Runtime error
Runtime error
| # 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") | |
| 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", | |
| ] | |