Remove all traces of low_cpu_mem_usage (#38792)

* remove it from all py files

* remove it from the doc

* remove it from examples

* style

* remove traces of _fast_init

* Update test_peft_integration.py

* CIs

tests/quantization/autoawq/test_awq.py

@@ -328,7 +328,6 @@ class AwqFusedTest(unittest.TestCase):
         model = AutoModelForCausalLM.from_pretrained(
             self.model_name,
             quantization_config=quantization_config,
-            low_cpu_mem_usage=True,
             revision=self.model_revision,
         ).to(torch_device)
 
@@ -347,7 +346,6 @@ class AwqFusedTest(unittest.TestCase):
         model = AutoModelForCausalLM.from_pretrained(
             model_id,
             quantization_config=quantization_config,
-            low_cpu_mem_usage=True,
         ).to(torch_device)
 
         # Check if model has been correctly fused
@@ -370,7 +368,6 @@ class AwqFusedTest(unittest.TestCase):
         model = AutoModelForCausalLM.from_pretrained(
             self.model_name,
             quantization_config=quantization_config,
-            low_cpu_mem_usage=True,
             revision=self.model_revision,
         ).to(torch_device)
 
@@ -399,7 +396,6 @@ class AwqFusedTest(unittest.TestCase):
         model = AutoModelForCausalLM.from_pretrained(
             self.model_name,
             quantization_config=quantization_config,
-            low_cpu_mem_usage=True,
             revision=self.model_revision,
         ).to(torch_device)