diff --git a/src/lerobot/policies/xvla/modeling_florence2.py b/src/lerobot/policies/xvla/modeling_florence2.py
index 2b5316fae..e33efe5c3 100644
--- a/src/lerobot/policies/xvla/modeling_florence2.py
+++ b/src/lerobot/policies/xvla/modeling_florence2.py
@@ -1951,7 +1951,10 @@ class Florence2Decoder(Florence2LanguagePreTrainedModel):
 
 
 class Florence2LanguageModel(Florence2LanguagePreTrainedModel):
-    _tied_weights_keys = ["encoder.embed_tokens.weight", "decoder.embed_tokens.weight"]
+    _tied_weights_keys = {
+        "encoder.embed_tokens.weight": "shared.weight",
+        "decoder.embed_tokens.weight": "shared.weight",
+    }
 
     def __init__(self, config: Florence2LanguageConfig):
         super().__init__(config)
@@ -2076,7 +2079,10 @@ class Florence2LanguageModel(Florence2LanguagePreTrainedModel):
 
 class Florence2LanguageForConditionalGeneration(Florence2LanguagePreTrainedModel, GenerationMixin):
     base_model_prefix = "model"
-    _tied_weights_keys = ["encoder.embed_tokens.weight", "decoder.embed_tokens.weight", "lm_head.weight"]
+    _tied_weights_keys = {
+        "model.encoder.embed_tokens.weight": "model.shared.weight",
+        "model.decoder.embed_tokens.weight": "model.shared.weight",
+    }
     _keys_to_ignore_on_load_missing = ["final_logits_bias"]
 
     def __init__(self, config: Florence2LanguageConfig):
@@ -2436,11 +2442,10 @@ FLORENCE2_INPUTS_DOCSTRING = r"""
     FLORENCE2_START_DOCSTRING,
 )
 class Florence2ForConditionalGeneration(Florence2PreTrainedModel):
-    _tied_weights_keys = [
-        "language_model.encoder.embed_tokens.weight",
-        "language_model.decoder.embed_tokens.weight",
-        "language_model.lm_head.weight",
-    ]
+    _tied_weights_keys = {
+        "language_model.model.encoder.embed_tokens.weight": "language_model.model.shared.weight",
+        "language_model.model.decoder.embed_tokens.weight": "language_model.model.shared.weight",
+    }
 
     def __init__(self, config: Florence2Config):
         super().__init__(config)