[v1] model loader (#9613)

This commit is contained in:
Yaowei Zheng
2025-12-14 11:50:52 +08:00
committed by GitHub
parent fdd24276ed
commit aeda079014
27 changed files with 449 additions and 305 deletions

View File

@@ -0,0 +1,33 @@
# 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_loader import ModelLoader
def test_tiny_qwen():
from transformers import Qwen2Config, Qwen2ForCausalLM, Qwen2TokenizerFast
model_args = ModelArguments(model="llamafactory/tiny-random-qwen2.5")
model_loader = ModelLoader(model_args)
assert isinstance(model_loader.processor, Qwen2TokenizerFast)
assert isinstance(model_loader.model.config, Qwen2Config)
assert isinstance(model_loader.model, Qwen2ForCausalLM)
assert model_loader.model.dtype == torch.bfloat16
if __name__ == "__main__":
test_tiny_qwen()