Fix typo in a parameter name for open llama model (#23637)

* Update modeling_open_llama.py

Fix typo in `use_memorry_efficient_attention` parameter name

* Update configuration_open_llama.py

Fix typo in `use_memorry_efficient_attention` parameter name

* Update configuration_open_llama.py

Take care of backwards compatibility ensuring that the previous parameter name is taken into account if used

* Update configuration_open_llama.py

format to adjust the line length

* Update configuration_open_llama.py

proper code formatting using `make fixup`

* Update configuration_open_llama.py

pop the argument not to let it be set later down the line

src/transformers/models/open_llama/configuration_open_llama.py

@@ -99,7 +99,7 @@ class OpenLlamaConfig(PretrainedConfig):
         bos_token_id=1,
         eos_token_id=2,
         tie_word_embeddings=False,
-        use_memorry_efficient_attention=True,
+        use_memory_efficient_attention=True,
         hidden_dropout_prob=0.1,
         attention_dropout_prob=0.1,
         use_stable_embedding=True,
@@ -116,7 +116,9 @@ class OpenLlamaConfig(PretrainedConfig):
         self.initializer_range = initializer_range
         self.rms_norm_eps = rms_norm_eps
         self.use_cache = use_cache
-        self.use_memorry_efficient_attention = use_memorry_efficient_attention
+        self.use_memory_efficient_attention = kwargs.pop(
+            "use_memorry_efficient_attention", use_memory_efficient_attention
+        )
         self.hidden_dropout_prob = hidden_dropout_prob
         self.attention_dropout_prob = attention_dropout_prob
         self.use_stable_embedding = use_stable_embedding

src/transformers/models/open_llama/modeling_open_llama.py

@@ -40,7 +40,7 @@ try:
 except ImportError:
     xops = None
     logger.warn(
-        "Xformers is not installed correctly. If you want to use memorry_efficient_attention to accelerate training use the following command to install Xformers\npip install xformers."
+        "Xformers is not installed correctly. If you want to use memory_efficient_attention to accelerate training use the following command to install Xformers\npip install xformers."
     )
 
 
@@ -223,7 +223,7 @@ class OpenLlamaAttention(nn.Module):
 
         past_key_value = (key_states, value_states) if use_cache else None
 
-        if self.config.use_memorry_efficient_attention and xops is not None and self.training:
+        if self.config.use_memory_efficient_attention and xops is not None and self.training:
             attn_weights = None
             query_states = query_states.transpose(1, 2)
             key_states = key_states.transpose(1, 2)
@@ -563,7 +563,7 @@ class OpenLlamaModel(OpenLlamaPreTrainedModel):
             if self.embed_layer_norm:
                 inputs_embeds = self.embed_layer_norm(inputs_embeds)
         # embed positions
-        if self.config.use_memorry_efficient_attention and self.training:
+        if self.config.use_memory_efficient_attention and self.training:
             attention_mask = None
         elif attention_mask is None:
             attention_mask = torch.ones(