File size: 1,505 Bytes
93adfea |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 |
# 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
from llamafactory.train.test_utils import compare_model, load_infer_model, load_reference_model, patch_valuehead_model
TINY_LLAMA = os.getenv("TINY_LLAMA", "llamafactory/tiny-random-Llama-3")
TINY_LLAMA_VALUEHEAD = os.getenv("TINY_LLAMA_VALUEHEAD", "llamafactory/tiny-random-Llama-3-valuehead")
INFER_ARGS = {
"model_name_or_path": TINY_LLAMA,
"template": "llama3",
"infer_dtype": "float16",
}
@pytest.fixture
def fix_valuehead_cpu_loading():
patch_valuehead_model()
def test_base():
model = load_infer_model(**INFER_ARGS)
ref_model = load_reference_model(TINY_LLAMA)
compare_model(model, ref_model)
@pytest.mark.usefixtures("fix_valuehead_cpu_loading")
def test_valuehead():
model = load_infer_model(add_valuehead=True, **INFER_ARGS)
ref_model = load_reference_model(TINY_LLAMA_VALUEHEAD, add_valuehead=True)
compare_model(model, ref_model)
|