| |
| from transformers import PreTrainedModel |
|
|
| from swift.template import TemplateType |
| from swift.utils import get_logger |
| from ..constant import LLMModelType |
| from ..model_meta import Model, ModelGroup, ModelMeta |
| from ..register import ModelLoader, register_model |
|
|
| logger = get_logger() |
|
|
|
|
| class MambaLoader(ModelLoader): |
|
|
| def get_model(self, model_dir: str, *args, **kwargs) -> PreTrainedModel: |
| logger.info( |
| '[IMPORTANT] Remember installing causal-conv1d>=1.2.0 and mamba-ssm, or you training and inference will' |
| 'be really slow!') |
| return super().get_model(model_dir, *args, **kwargs) |
|
|
|
|
| register_model( |
| ModelMeta( |
| LLMModelType.mamba, |
| [ |
| ModelGroup([ |
| Model('AI-ModelScope/mamba-130m-hf', 'state-spaces/mamba-130m-hf'), |
| Model('AI-ModelScope/mamba-370m-hf', 'state-spaces/mamba-370m-hf'), |
| Model('AI-ModelScope/mamba-390m-hf', 'state-spaces/mamba-390m-hf'), |
| Model('AI-ModelScope/mamba-790m-hf', 'state-spaces/mamba-790m-hf'), |
| Model('AI-ModelScope/mamba-1.4b-hf', 'state-spaces/mamba-1.4b-hf'), |
| Model('AI-ModelScope/mamba-2.8b-hf', 'state-spaces/mamba-2.8b-hf'), |
| ]) |
| ], |
| MambaLoader, |
| template=TemplateType.default, |
| architectures=['MambaForCausalLM'], |
| model_arch=None, |
| requires=['transformers>=4.39.0'], |
| )) |
|
|
