diff --git a/llama_cpp/llama.py b/llama_cpp/llama.py
index 251d064..7ca7af0 100644
--- a/llama_cpp/llama.py
+++ b/llama_cpp/llama.py
@@ -216,7 +216,6 @@ class Llama:
         embedding: bool = False,
         n_threads: Optional[int] = None,
         n_batch: int = 512,
-        n_gqa: Optional[int] = None,  # must be 8 for llama2 70b
         last_n_tokens_size: int = 64,
         lora_base: Optional[str] = None,
         lora_path: Optional[str] = None,
@@ -224,6 +223,8 @@ class Llama:
         tensor_split: Optional[List[float]] = None,
         rope_freq_base: float = 10000.0,
         rope_freq_scale: float = 1.0,
+        n_gqa: Optional[int] = None,  # (TEMPORARY) must be 8 for llama2 70b
+        rms_eps_norm: Optional[float] = None, # (TEMPORARY)
         verbose: bool = True,
     ):
         """Load a llama.cpp model from `model_path`.
@@ -261,8 +262,6 @@ class Llama:
 
         self.params = llama_cpp.llama_context_default_params()
         self.params.n_ctx = n_ctx
-        if n_gqa is not None:
-            self.params.n_gqa = n_gqa
         self.params.n_gpu_layers = n_gpu_layers
         self.params.seed = seed
         self.params.f16_kv = f16_kv
@@ -285,6 +284,12 @@ class Llama:
         self.params.rope_freq_base = rope_freq_base
         self.params.rope_freq_scale = rope_freq_scale
 
+        if n_gqa is not None:
+            self.params.n_gqa = n_gqa
+
+        if rms_eps_norm is not None:
+            self.params.rms_eps_norm = rms_eps_norm
+
         self.last_n_tokens_size = last_n_tokens_size
         self.n_batch = min(n_ctx, n_batch)
 
@@ -1526,6 +1531,10 @@ class Llama:
             lora_base=self.lora_base,
             lora_path=self.lora_path,
             tensor_split=self.tensor_split,
+            ### TEMPORARY ###
+            n_gqa=self.params.n_gqa,
+            rms_eps_norm=self.params.rms_eps_norm,
+            ### TEMPORARY ###
             ### DEPRECATED ###
             n_parts=self.n_parts,
             ### DEPRECATED ###
@@ -1535,7 +1544,6 @@ class Llama:
         self.__init__(
             model_path=state["model_path"],
             n_ctx=state["n_ctx"],
-            n_parts=state["n_parts"],
             n_gpu_layers=state["n_gpu_layers"],
             seed=state["seed"],
             f16_kv=state["f16_kv"],
@@ -1551,7 +1559,14 @@ class Llama:
             lora_base=state["lora_base"],
             lora_path=state["lora_path"],
             tensor_split=state["tensor_split"],
+            n_gqa=state["n_gqa"],
+            ### TEMPORARY ###
+            rms_eps_norm=state["rms_eps_norm"],
             verbose=state["verbose"],
+            ### TEMPORARY ###
+            ### DEPRECATED ###
+            n_parts=state["n_parts"],
+            ### DEPRECATED ###
         )
 
     def save_state(self) -> LlamaState: