| import os
|
|
|
| os.environ['CUDA_VISIBLE_DEVICES'] = '3'
|
|
|
| infer_backend = 'transformers'
|
|
|
|
|
| def test_eval_native():
|
| from swift import EvalArguments, eval_main
|
| eval_main(
|
| EvalArguments(
|
| model='Qwen/Qwen2.5-0.5B-Instruct',
|
| eval_dataset='arc',
|
| infer_backend=infer_backend,
|
| eval_backend='Native',
|
| eval_limit=10,
|
| eval_generation_config={
|
| 'max_new_tokens': 128,
|
| 'temperature': 0.1
|
| },
|
| extra_eval_args={'ignore_errors': False},
|
| ))
|
|
|
|
|
| def test_eval_llm():
|
| from swift import EvalArguments, eval_main
|
| eval_main(
|
| EvalArguments(
|
| model='Qwen/Qwen2.5-0.5B-Instruct',
|
| eval_dataset='arc_c',
|
| infer_backend=infer_backend,
|
| eval_backend='OpenCompass',
|
| eval_limit=10))
|
|
|
|
|
| def test_eval_mllm():
|
| from swift import EvalArguments, eval_main
|
| eval_main(
|
| EvalArguments(
|
| model='Qwen/Qwen2.5-VL-3B-Instruct',
|
| eval_dataset=['realWorldQA'],
|
| infer_backend='transformers',
|
| eval_backend='VLMEvalKit',
|
| eval_limit=10,
|
| eval_generation_config={
|
| 'max_new_tokens': 128,
|
| 'temperature': 0.1
|
| }))
|
|
|
|
|
| def test_eval_url():
|
| from swift import EvalArguments, eval_main, DeployArguments
|
| from swift.pipelines import run_deploy
|
| deploy_args = DeployArguments(model='Qwen/Qwen2-VL-7B-Instruct', infer_backend=infer_backend, verbose=False)
|
|
|
| with run_deploy(deploy_args, return_url=True) as url:
|
| eval_main(EvalArguments(model='Qwen2-VL-7B-Instruct', eval_url=url, eval_dataset=['arc']))
|
|
|
|
|
| if __name__ == '__main__':
|
| test_eval_llm()
|
|
|
|
|
|
|
|
|
