Give all inputs when it's the first time call of model

llms/mlx_lm/models/plamo2.py

@@ -1606,6 +1606,8 @@ class Model(PlamoPreTrainedModel):
 
         if not config.tie_word_embeddings:
             self.lm_head: nn.Module = nn.Linear(config.hidden_size, vocab_size, bias=False)
+        
+        self._prefill = True
 
         # Initialize weights and apply final processing
         # self.post_init()
@@ -1643,6 +1645,9 @@ class Model(PlamoPreTrainedModel):
             past_key_values=cache,
             use_cache=self.config.use_cache,
         )
+        if self._prefill:
+            model_inputs["input_ids"] = inputs
+            self._prefill = False
         output = self.forward(**model_inputs)
         if not isinstance(output, CausalLMOutputWithPast):
             raise ValueError(