[Model] Add base class for LoRA-supported models (#5018)

This commit is contained in:
Cyrus Leung
2024-06-27 16:03:04 +08:00
committed by GitHub
parent d12af207d2
commit 96354d6a29
20 changed files with 270 additions and 75 deletions

View File

@@ -32,7 +32,8 @@ from vllm.model_executor.model_loader.weight_utils import (
filter_duplicate_safetensors_files, filter_files_not_needed_for_inference,
get_quant_config, initialize_dummy_weights, np_cache_weights_iterator,
pt_weights_iterator, safetensors_weights_iterator)
from vllm.model_executor.models.vlm_base import VisionLanguageModelBase
from vllm.model_executor.models.interfaces import (supports_lora,
supports_vision)
from vllm.model_executor.utils import set_weight_attrs
from vllm.utils import is_tpu
@@ -64,12 +65,15 @@ def _get_quantization_config(
def _get_model_initialization_kwargs(
model_class: Type[nn.Module], lora_config: Optional[LoRAConfig],
vision_language_config: Optional[VisionLanguageConfig]
model_class: Type[nn.Module],
lora_config: Optional[LoRAConfig],
vlm_config: Optional[VisionLanguageConfig],
) -> Dict[str, Any]:
"""Get extra kwargs for model initialization."""
extra_kwargs: Dict[str, Any] = {}
if hasattr(model_class, "supported_lora_modules"):
if supports_lora(model_class):
# lora_config=None is used to disable LoRA
extra_kwargs["lora_config"] = lora_config
elif lora_config:
raise ValueError(
@@ -77,13 +81,15 @@ def _get_model_initialization_kwargs(
"but LoRA is enabled. Support for this model may "
"be added in the future. If this is important to you, "
"please open an issue on github.")
elif issubclass(model_class, VisionLanguageModelBase):
if vision_language_config is None:
if supports_vision(model_class):
if vlm_config is None:
raise ValueError("Provide `image_input_type` and other vision "
"related configurations through LLM entrypoint "
"or engine arguments.")
extra_kwargs["vision_language_config"] = vision_language_config
extra_kwargs["vlm_config"] = vlm_config
return extra_kwargs