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