[`bnb`] fix `bnb` decoders bug (#21688)

* fix `bnb` decoders bug

* make fixup

src/transformers/utils/bitsandbytes.py

@@ -171,4 +171,13 @@ def get_keys_to_not_convert(model):
     intersection = set(list_last_module) - set(tied_keys)
     list_untouched = tied_keys + list(intersection)
 
-    return [module_name.split(".")[0] for module_name in list_untouched]
+    # remove ".weight" from the keys
+    names_to_remove = [".weight", ".bias"]
+    filtered_module_names = []
+    for name in list_untouched:
+        for name_to_remove in names_to_remove:
+            if name_to_remove in name:
+                name = name.replace(name_to_remove, "")
+        filtered_module_names.append(name)
+
+    return filtered_module_names

tests/mixed_int8/test_mixed_int8.py

@@ -269,10 +269,16 @@ class MixedInt8T5Test(unittest.TestCase):
         `flan-t5-small` uses `T5DenseGatedActDense` whereas `t5-small` uses `T5DenseReluDense`. We need to test
         both cases.
         """
+        import bitsandbytes as bnb
+
         from transformers import T5ForConditionalGeneration
 
         # test with `t5-small`
         model = T5ForConditionalGeneration.from_pretrained(self.model_name, load_in_8bit=True, device_map="auto")
+
+        # there was a bug with decoders - this test checks that it is fixed
+        self.assertTrue(isinstance(model.decoder.block[0].layer[0].SelfAttention.q, bnb.nn.Linear8bitLt))
+
         encoded_input = self.tokenizer(self.input_text, return_tensors="pt").to(0)
         _ = model.generate(**encoded_input)