mirror of
https://github.com/hiyouga/LLaMA-Factory.git
synced 2025-12-16 20:00:36 +08:00
fix llava config
This commit is contained in:
@@ -6,7 +6,7 @@ from ...extras.logging import get_logger
|
||||
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from transformers import PreTrainedModel
|
||||
from transformers import PretrainedConfig, PreTrainedModel
|
||||
|
||||
from ...hparams import ModelArguments
|
||||
|
||||
@@ -14,6 +14,11 @@ if TYPE_CHECKING:
|
||||
logger = get_logger(__name__)
|
||||
|
||||
|
||||
def configure_hidden_size(config: "PretrainedConfig") -> None:
|
||||
if getattr(config, "model_type", None) == "llava":
|
||||
setattr(config, "hidden_size", getattr(config.text_config, "hidden_size", None))
|
||||
|
||||
|
||||
def autocast_projector_dtype(
|
||||
model: "PreTrainedModel", model_args: "ModelArguments", mm_projector_name: str = "multi_modal_projector"
|
||||
) -> None:
|
||||
@@ -22,7 +27,7 @@ def autocast_projector_dtype(
|
||||
) -> "torch.Tensor":
|
||||
return output.to(model_args.compute_dtype)
|
||||
|
||||
if hasattr(model, mm_projector_name):
|
||||
if hasattr(model, mm_projector_name) and getattr(model.config, "quantization_method", None):
|
||||
logger.info("Casting multimodal projector outputs in {}.".format(model_args.compute_dtype))
|
||||
mm_projector: "torch.nn.Module" = getattr(model, mm_projector_name)
|
||||
mm_projector.register_forward_hook(_mm_projector_forward_post_hook)
|
||||
|
||||
Reference in New Issue
Block a user