cleanup (#180)

Co-authored-by: LRL-ModelCloud <lrl@modelcloud.ai>

gptqmodel/models/base.py

@@ -226,7 +226,7 @@ def _quantize(
                     if m.weight.shape[0] % 32 != 0 or m.weight.shape[1] % 32 != 0:
                         weight_config[n] = {"data_type": "fp"}
                         print(
-                            f"{n} will not be quantized due to its shape not being divisible by 32, resulting in an exporting issue to autogptq")
+                            f"{n} will not be quantized due to its shape not being divisible by 32, resulting in an exporting issue to gptqmodel")
 
             if self.quantize_config.lm_head:
                 weight_config['lm_head'] = {"data_type": "int"}