| |
| import os |
| import sys |
| from transformers import AutoTokenizer, PretrainedConfig, PreTrainedModel |
| from typing import Any, Dict |
|
|
| from swift.template import TemplateType |
| from swift.utils import Processor, get_logger, git_clone_github |
| from ..constant import LLMModelType, MLLMModelType |
| from ..model_arch import ModelArch |
| from ..model_meta import Model, ModelGroup, ModelMeta |
| from ..register import ModelLoader, register_model |
|
|
| logger = get_logger() |
|
|
|
|
| class YiVLLoader(ModelLoader): |
|
|
| def get_config(self, model_dir: str) -> PretrainedConfig: |
| local_repo_path = self.local_repo_path |
| if not local_repo_path: |
| local_repo_path = git_clone_github('https://github.com/01-ai/Yi') |
| sys.path.append(os.path.join(local_repo_path, 'VL')) |
| from llava.model import LlavaConfig |
| config = LlavaConfig.from_pretrained(model_dir) |
| mm_vision_tower = config.mm_vision_tower |
| config.mm_vision_tower = os.path.join(model_dir, *mm_vision_tower.rsplit('/', maxsplit=2)[-2:]) |
| config.attention_dropout = 0. |
| if not hasattr(config, 'max_sequence_length'): |
| config.max_sequence_length = 2048 |
| return config |
|
|
| def get_processor(self, model_dir: str, config: PretrainedConfig) -> Processor: |
| return AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True, use_fast=False) |
|
|
| def get_model(self, model_dir: str, config, processor, **kwargs) -> PreTrainedModel: |
| from llava.model import LlavaLlamaForCausalLM |
| from llava.model.constants import key_info |
| key_info['model_path'] = model_dir |
| self.auto_model_cls = self.auto_model_cls or LlavaLlamaForCausalLM |
| model = super().get_model(model_dir, config, processor, **kwargs) |
| vision_tower = model.get_vision_tower() |
| vision_tower.load_model() |
| vision_tower.to(device=model.device, dtype=config.torch_dtype) |
|
|
| logger.info('Please ignore the above warning.') |
| logger.info('Loading the parameters of vision_tower...') |
| model.resize_token_embeddings(len(processor)) |
| processor.image_processor = vision_tower.image_processor |
| return model |
|
|
|
|
| register_model( |
| ModelMeta( |
| MLLMModelType.yi_vl, |
| [ |
| ModelGroup([ |
| Model('01ai/Yi-VL-6B', '01-ai/Yi-VL-6B'), |
| Model('01ai/Yi-VL-34B', '01-ai/Yi-VL-34B'), |
| ], ), |
| ], |
| YiVLLoader, |
| template=TemplateType.yi_vl, |
| model_arch=ModelArch.llava_llama, |
| architectures=['LlavaLlamaForCausalLM'], |
| requires=['transformers>=4.34'], |
| tags=['vision'], |
| )) |
|
|
| register_model( |
| ModelMeta( |
| LLMModelType.yi, |
| [ |
| ModelGroup([ |
| Model('01ai/Yi-6B', '01-ai/Yi-6B'), |
| Model('01ai/Yi-6B-200K', '01-ai/Yi-6B-200K'), |
| Model('01ai/Yi-6B-Chat', '01-ai/Yi-6B-Chat'), |
| Model('01ai/Yi-6B-Chat-4bits', '01-ai/Yi-6B-Chat-4bits'), |
| Model('01ai/Yi-6B-Chat-8bits', '01-ai/Yi-6B-Chat-8bits'), |
| Model('01ai/Yi-9B', '01-ai/Yi-9B'), |
| Model('01ai/Yi-9B-200K', '01-ai/Yi-9B-200K'), |
| Model('01ai/Yi-34B', '01-ai/Yi-34B'), |
| Model('01ai/Yi-34B-200K', '01-ai/Yi-34B-200K'), |
| Model('01ai/Yi-34B-Chat', '01-ai/Yi-34B-Chat'), |
| Model('01ai/Yi-34B-Chat-4bits', '01-ai/Yi-34B-Chat-4bits'), |
| Model('01ai/Yi-34B-Chat-8bits', '01-ai/Yi-34B-Chat-8bits'), |
| ], TemplateType.chatml), |
| |
| ModelGroup([ |
| Model('01ai/Yi-1.5-6B', '01-ai/Yi-1.5-6B'), |
| Model('01ai/Yi-1.5-6B-Chat', '01-ai/Yi-1.5-6B-Chat'), |
| Model('01ai/Yi-1.5-9B', '01-ai/Yi-1.5-9B'), |
| Model('01ai/Yi-1.5-9B-Chat', '01-ai/Yi-1.5-9B-Chat'), |
| Model('01ai/Yi-1.5-9B-Chat-16K', '01-ai/Yi-1.5-9B-Chat-16K'), |
| Model('01ai/Yi-1.5-34B', '01-ai/Yi-1.5-34B'), |
| Model('01ai/Yi-1.5-34B-Chat', '01-ai/Yi-1.5-34B-Chat'), |
| Model('01ai/Yi-1.5-34B-Chat-16K', '01-ai/Yi-1.5-34B-Chat-16K'), |
| ], TemplateType.chatml), |
| |
| ModelGroup([ |
| Model('AI-ModelScope/Yi-1.5-6B-Chat-GPTQ', 'modelscope/Yi-1.5-6B-Chat-GPTQ'), |
| Model('AI-ModelScope/Yi-1.5-6B-Chat-AWQ', 'modelscope/Yi-1.5-6B-Chat-AWQ'), |
| Model('AI-ModelScope/Yi-1.5-9B-Chat-GPTQ', 'modelscope/Yi-1.5-9B-Chat-GPTQ'), |
| Model('AI-ModelScope/Yi-1.5-9B-Chat-AWQ', 'modelscope/Yi-1.5-9B-Chat-AWQ'), |
| Model('AI-ModelScope/Yi-1.5-34B-Chat-GPTQ', 'modelscope/Yi-1.5-34B-Chat-GPTQ'), |
| Model('AI-ModelScope/Yi-1.5-34B-Chat-AWQ', 'modelscope/Yi-1.5-34B-Chat-AWQ'), |
| ], TemplateType.chatml), |
| ModelGroup([ |
| Model('01ai/Yi-Coder-1.5B', '01-ai/Yi-Coder-1.5B'), |
| Model('01ai/Yi-Coder-9B', '01-ai/Yi-Coder-9B'), |
| Model('01ai/Yi-Coder-1.5B-Chat', '01-ai/Yi-Coder-1.5B-Chat'), |
| Model('01ai/Yi-Coder-9B-Chat', '01-ai/Yi-Coder-9B-Chat'), |
| ], |
| TemplateType.yi_coder, |
| tags=['coding']), |
| ModelGroup([ |
| Model('SUSTC/SUS-Chat-34B', 'SUSTech/SUS-Chat-34B'), |
| ], TemplateType.sus), |
| ], |
| architectures=['LlamaForCausalLM'], |
| mcore_model_type='gpt', |
| model_arch=ModelArch.llama, |
| )) |
|
|
