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VL-F/model-00001-of-00002.safetensors

@@ -1,3 +1,3 @@
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-oid sha256:c397e5127031ee8322531d425983daf150710b846ae6337a0955939e3dc4a976
+oid sha256:2e296c31a37d22cd4b9d1c86eda13b70525fb60af640c407a5bdc082372de514
 size 9914019048

VL-F/model-00002-of-00002.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cd0ec39e59ca41b1dc6f1a264fbc5933c3516380a04c8a81bef31f9c663e5aeb
+oid sha256:a4dcf7701d7d594ba13a0ae2bdf1908c01d005ebd4eb9c5eb2842bacaf89a87c
 size 7620320504

scripts/inference.py

@@ -68,16 +68,9 @@ def _swap_vl(kwargs, needed_type, load_robobrain):
 def _run_compatibility(question, image_path, kwargs, low_memory, run_robobrain, load_robobrain):
     if low_memory:
         _swap_vl(kwargs, "F", load_robobrain)
-        result_f = run_robobrain(question, image_path, None, kwargs["_current_vl"], LM_classify="compatibility")
-        if result_f != "yes":
-            return result_f
-        _swap_vl(kwargs, "B", load_robobrain)
         return run_robobrain(question, image_path, None, kwargs["_current_vl"], LM_classify="compatibility")
     else:
-        result_f = run_robobrain(question, image_path, None, kwargs["vl_f"], LM_classify="compatibility")
-        if result_f != "yes":
-            return result_f
-        return run_robobrain(question, image_path, None, kwargs["vl_b"], LM_classify="compatibility")
+        return run_robobrain(question, image_path, None, kwargs["vl_f"], LM_classify="compatibility")
 
 
 def inference_single(question, image_path, kwargs):