| import os |
| import torch |
| import unittest |
|
|
| from swift.utils import get_device |
|
|
| os.environ['HF_ENDPOINT'] = 'https://hf-mirror.com' |
|
|
|
|
| def test_qwen2(): |
| import os |
|
|
| from swift.model import get_model_processor |
| model, tokenizer = get_model_processor('Qwen/Qwen2-7B-Instruct', load_model=False) |
| print(f'model: {model}, tokenizer: {tokenizer}') |
| |
| model, tokenizer = get_model_processor('Qwen/Qwen2-7B-Instruct', load_model=False, use_hf=True) |
|
|
| model, tokenizer = get_model_processor( |
| 'Qwen/Qwen2-7B-Instruct', torch_dtype=torch.float32, device_map=get_device(), attn_impl='flash_attn') |
| print(f'model: {model}, tokenizer: {tokenizer}') |
|
|
|
|
| def test_modelscope_hub(): |
| from swift.model import get_model_processor |
| model, tokenizer = get_model_processor('Qwen/Qwen2___5-Math-1___5B-Instruct/', load_model=False) |
|
|
|
|
| class TestMolmo2Registration(unittest.TestCase): |
|
|
| def test_registration(self): |
| from swift.model import MODEL_MAPPING, MLLMModelType |
| from swift.template import TEMPLATE_MAPPING, TemplateType |
|
|
| model_meta = MODEL_MAPPING[MLLMModelType.molmo2] |
| self.assertEqual(model_meta.template, TemplateType.molmo2) |
| self.assertEqual(model_meta.model_arch.arch_name, 'molmo') |
| self.assertIn('Molmo2ForConditionalGeneration', model_meta.architectures) |
|
|
| hf_model_ids = [] |
| for group in model_meta.model_groups: |
| for model in group.models: |
| hf_model_ids.append(model.hf_model_id) |
|
|
| self.assertIn('allenai/Molmo2-4B', hf_model_ids) |
| self.assertIn('allenai/Molmo2-8B', hf_model_ids) |
| self.assertIn('allenai/Molmo2-O-7B', hf_model_ids) |
| self.assertIn(TemplateType.molmo2, TEMPLATE_MAPPING) |
|
|
|
|
| if __name__ == '__main__': |
| test_qwen2() |
| |
|
|