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db704cb | 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 50 51 52 | # 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 torch
from llamafactory.v1.config.model_args import ModelArguments
from llamafactory.v1.core.model_engine import ModelEngine
def test_tiny_qwen():
model_args = ModelArguments(model="llamafactory/tiny-random-qwen3")
model_engine = ModelEngine(model_args)
assert "Qwen2Tokenizer" in model_engine.processor.__class__.__name__
assert "Qwen3Config" in model_engine.model_config.__class__.__name__
assert "Qwen3ForCausalLM" in model_engine.model.__class__.__name__
assert model_engine.model.dtype == torch.bfloat16
def test_tiny_qwen_with_kernel_plugin():
from llamafactory.v1.plugins.model_plugins.kernels.ops.rms_norm.npu_rms_norm import npu_rms_norm_forward
model_args = ModelArguments(
model="llamafactory/tiny-random-qwen3", kernel_config={"name": "auto", "include_kernels": "auto"}
)
model_engine = ModelEngine(model_args)
# test enable apply kernel plugin
if hasattr(torch, "npu"):
assert model_engine.model.model.layers[0].input_layernorm.forward.__code__ == npu_rms_norm_forward.__code__
else:
assert model_engine.model.model.layers[0].input_layernorm.forward.__code__ != npu_rms_norm_forward.__code__
assert "Qwen3ForCausalLM" in model_engine.model.__class__.__name__
if __name__ == "__main__":
"""
python -m tests_v1.core.test_model_loader
"""
test_tiny_qwen()
test_tiny_qwen_with_kernel_plugin()
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