add llava and instructblip

src/llmtuner/hparams/data_args.py

@@ -88,10 +88,6 @@ class DataArguments:
         default=None,
         metadata={"help": "Path to save or load the tokenized datasets."},
     )
-    image_path: Optional[str] = field(
-        default=None,
-        metadata={"help": "Path to images."},
-    )
 
     def __post_init__(self):
         if self.reserved_label_len >= self.cutoff_len:

src/llmtuner/hparams/model_args.py

@@ -165,10 +165,6 @@ class ModelArguments:
         default=False,
         metadata={"help": "For debugging purposes, print the status of the parameters in the model."},
     )
-    use_qformer: bool = field(
-        default=False,
-        metadata={"help": "Whether use qformer for Multimodal LLM."},
-    )
 
     def __post_init__(self):
         self.compute_dtype = None