diff --git a/llms/gguf_llm/models.py b/llms/gguf_llm/models.py
index b0d07558..cc9b3f0e 100644
--- a/llms/gguf_llm/models.py
+++ b/llms/gguf_llm/models.py
@@ -285,7 +285,7 @@ def load(gguf_file: str, repo: str = None):
             and f"{p}.scales" in weights
         )
         nn.quantize(
-            qm,
+            model,
             **quantization,
             class_predicate=class_predicate,
         )
diff --git a/whisper/whisper/load_models.py b/whisper/whisper/load_models.py
index 2b7efaf0..6705385d 100644
--- a/whisper/whisper/load_models.py
+++ b/whisper/whisper/load_models.py
@@ -27,13 +27,17 @@ def load_model(
     model_args = whisper.ModelDimensions(**config)
 
     weights = mx.load(str(model_path / "weights.npz"))
-    weights = tree_unflatten(list(weights.items()))
 
     model = whisper.Whisper(model_args, dtype)
 
     if quantization is not None:
-        nn.quantize(model, **quantization)
+        class_predicate = (
+            lambda p, m: isinstance(m, (nn.Linear, nn.Embedding))
+            and f"{p}.scales" in weights
+        )
+        nn.quantize(model, **quantization, class_predicate=class_predicate)
 
+    weights = tree_unflatten(list(weights.items()))
     model.update(weights)
     mx.eval(model.parameters())
     return model