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import os
import torch
os.environ['CUDA_VISIBLE_DEVICES'] = '0'
def _test_model(model_id):
from swift.llm import export_main, ExportArguments
if model_id.endswith('mcore'):
export_main(
ExportArguments(
mcore_model=model_id,
to_hf=True,
exist_ok=True,
test_convert_precision=True,
torch_dtype=torch.bfloat16))
else:
export_main(
ExportArguments(
model=model_id,
to_mcore=True,
exist_ok=True,
test_convert_precision=True,
torch_dtype=torch.bfloat16,
))
def test_qwen2():
_test_model('Qwen/Qwen2-0.5B-Instruct')
def test_llama2():
_test_model('modelscope/Llama-2-7b-chat-ms')
def test_llama3():
_test_model('LLM-Research/Meta-Llama-3-8B-Instruct')
def test_marco_o1():
_test_model('AIDC-AI/Marco-o1')
def test_deepseek_r1_llama():
_test_model('deepseek-ai/DeepSeek-R1-Distill-Llama-8B')
def test_deepseek_r1_qwen():
_test_model('deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B')
def test_yi():
_test_model('01ai/Yi-1.5-6B-Chat')
def test_megrez():
_test_model('InfiniAI/Megrez-3b-Instruct')
def test_llama3_1():
_test_model('LLM-Research/Meta-Llama-3.1-8B-Instruct')
def test_llama3_2():
_test_model('LLM-Research/Llama-3.2-1B-Instruct')
def test_qwen3():
_test_model('Qwen/Qwen3-0.6B-Base')
def test_qwen2_moe():
_test_model('Qwen/Qwen1.5-MoE-A2.7B-Chat')
def test_qwen3_moe():
_test_model('Qwen/Qwen3-15B-A2B-Base')
if __name__ == '__main__':
# test_qwen2()
# test_llama2()
# test_llama3()
# test_marco_o1()
# test_deepseek_r1_llama()
# test_deepseek_r1_qwen()
# test_yi()
# test_megrez()
# test_llama3_1()
# test_llama3_2()
# test_qwen3()
# test_qwen2_moe()
test_qwen3_moe()
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