Update comments

modules/GPTQ_loader.py

@@ -57,13 +57,13 @@ def load_quantized(model_name):
         print(f"Could not find {pt_model}, exiting...")
         exit()
 
-    # Using qwopqwop200's offload
+    # qwopqwop200's offload
     if shared.args.gptq_pre_layer:
         model = load_quant(str(path_to_model), str(pt_path), shared.args.gptq_bits, shared.args.gptq_pre_layer)
     else:
         model = load_quant(str(path_to_model), str(pt_path), shared.args.gptq_bits)
 
-        # Using accelerate offload (doesn't work properly)
+        # accelerate offload (doesn't work properly)
         if shared.args.gpu_memory:
             memory_map = list(map(lambda x : x.strip(), shared.args.gpu_memory))
             max_cpu_memory = shared.args.cpu_memory.strip() if shared.args.cpu_memory is not None else '99GiB'
@@ -76,6 +76,8 @@ def load_quantized(model_name):
             print("Using the following device map for the 4-bit model:", device_map)
             # https://huggingface.co/docs/accelerate/package_reference/big_modeling#accelerate.dispatch_model
             model = accelerate.dispatch_model(model, device_map=device_map, offload_buffers=True)
+
+        # No offload
         elif not shared.args.cpu:
             model = model.to(torch.device('cuda:0'))