fix quant imports

apps/language_models/src/model_wrappers/vicuna_model.py

@@ -314,6 +314,11 @@ class SecondVicuna13B(torch.nn.Module):
             model_path, low_cpu_mem_usage=True, **kwargs
         )
         if precision in ["int4", "int8"]:
+            from brevitas_examples.llm.llm_quant.quantize import quantize_model
+            from brevitas_examples.llm.llm_quant.run_utils import (
+                get_model_impl,
+            )
+
             print("Second Vicuna applying weight quantization..")
             weight_bit_width = 4 if precision == "int4" else 8
             quantize_model(