Fix use_hqq for int4_weight_only quantize (#1707)

Fix HQQ call for int4_weight_only quantize

torchao/_models/llama/generate.py

@@ -420,10 +420,9 @@ def ffn_or_attn_only(mod, fqn):
             else:
                 quantize_(model, int8_dynamic_activation_int8_weight())
         if "int4wo" in quantization:
+            use_hqq = False
             if "hqq" in quantization:
                 use_hqq = True
-            else:
-                use_hqq = False
             group_size = int(quantization.split("-")[1])
             assert (
                 group_size
@@ -434,7 +433,7 @@ def ffn_or_attn_only(mod, fqn):
                     256,
                 ]
             ), f"int4wo group_size needs to be one of [32,64,128,256] but got {group_size}"
-            quantize_(model, int4_weight_only(group_size=group_size))
+            quantize_(model, int4_weight_only(group_size=group_size, use_hqq=use_hqq))
         elif "int8adq-int4w-symm" in quantization:
             from torchao.dtypes import CutlassInt4PackedLayout