diff --git a/modules/RoPE.py b/modules/RoPE.py
deleted file mode 100644
index 31163a33..00000000
--- a/modules/RoPE.py
+++ /dev/null
@@ -1,18 +0,0 @@
-def get_alpha_value(alpha, base):
-    '''
-    Gets alpha_value from alpha_value and rope_freq_base
-    '''
-    if base > 0:
-        return (base / 10000.) ** (63 / 64.)
-    else:
-        return alpha
-
-
-def get_rope_freq_base(alpha, base):
-    '''
-    Gets rope_freq_base from alpha_value and rope_freq_base
-    '''
-    if base > 0:
-        return base
-    else:
-        return 10000 * alpha ** (64 / 63.)
diff --git a/modules/llamacpp_hf.py b/modules/llamacpp_hf.py
index f30be66a..74af5fbf 100644
--- a/modules/llamacpp_hf.py
+++ b/modules/llamacpp_hf.py
@@ -7,7 +7,7 @@ from torch.nn import CrossEntropyLoss
 from transformers import GenerationConfig, PretrainedConfig, PreTrainedModel
 from transformers.modeling_outputs import CausalLMOutputWithPast
 
-from modules import RoPE, llama_cpp_python_hijack, shared
+from modules import llama_cpp_python_hijack, shared
 from modules.logging_colors import logger
 
 try:
@@ -212,7 +212,7 @@ class LlamacppHF(PreTrainedModel):
             'mul_mat_q': not shared.args.no_mul_mat_q,
             'numa': shared.args.numa,
             'n_gpu_layers': shared.args.n_gpu_layers,
-            'rope_freq_base': RoPE.get_rope_freq_base(shared.args.alpha_value, shared.args.rope_freq_base),
+            'rope_freq_base': shared.args.rope_freq_base,
             'tensor_split': tensor_split_list,
             'rope_freq_scale': 1.0 / shared.args.compress_pos_emb,
             'logits_all': shared.args.logits_all,
diff --git a/modules/llamacpp_model.py b/modules/llamacpp_model.py
index b2a25d36..d62fd517 100644
--- a/modules/llamacpp_model.py
+++ b/modules/llamacpp_model.py
@@ -4,7 +4,7 @@ from functools import partial
 import numpy as np
 import torch
 
-from modules import RoPE, llama_cpp_python_hijack, shared
+from modules import llama_cpp_python_hijack, shared
 from modules.callbacks import Iteratorize
 from modules.logging_colors import logger
 from modules.text_generation import get_max_prompt_length
@@ -92,7 +92,7 @@ class LlamaCppModel:
             'mul_mat_q': not shared.args.no_mul_mat_q,
             'numa': shared.args.numa,
             'n_gpu_layers': shared.args.n_gpu_layers,
-            'rope_freq_base': RoPE.get_rope_freq_base(shared.args.alpha_value, shared.args.rope_freq_base),
+            'rope_freq_base': shared.args.rope_freq_base,
             'tensor_split': tensor_split_list,
             'rope_freq_scale': 1.0 / shared.args.compress_pos_emb,
             'offload_kqv': not shared.args.no_offload_kqv,
diff --git a/modules/loaders.py b/modules/loaders.py
index 5099ffb0..7bf1cde4 100644
--- a/modules/loaders.py
+++ b/modules/loaders.py
@@ -22,7 +22,6 @@ loaders_and_params = OrderedDict({
         'no_use_fast',
         'use_flash_attention_2',
         'alpha_value',
-        'rope_freq_base',
         'compress_pos_emb',
         'disable_exllama',
         'disable_exllamav2',
@@ -38,7 +37,6 @@ loaders_and_params = OrderedDict({
         'no_mmap',
         'mlock',
         'no_mul_mat_q',
-        'alpha_value',
         'rope_freq_base',
         'compress_pos_emb',
         'cpu',
@@ -60,7 +58,6 @@ loaders_and_params = OrderedDict({
         'no_mmap',
         'mlock',
         'no_mul_mat_q',
-        'alpha_value',
         'rope_freq_base',
         'compress_pos_emb',
         'cpu',
diff --git a/modules/models.py b/modules/models.py
index cb32a3da..bd54c146 100644
--- a/modules/models.py
+++ b/modules/models.py
@@ -25,7 +25,7 @@ from transformers import (
 )
 
 import modules.shared as shared
-from modules import RoPE, sampler_hijack
+from modules import sampler_hijack
 from modules.logging_colors import logger
 from modules.models_settings import get_model_metadata
 
@@ -248,7 +248,7 @@ def huggingface_loader(model_name):
         if shared.args.compress_pos_emb > 1:
             params['rope_scaling'] = {'type': 'linear', 'factor': shared.args.compress_pos_emb}
         elif shared.args.alpha_value > 1:
-            params['rope_scaling'] = {'type': 'dynamic', 'factor': RoPE.get_alpha_value(shared.args.alpha_value, shared.args.rope_freq_base)}
+            params['rope_scaling'] = {'type': 'dynamic', 'factor': shared.args.alpha_value}
 
         logger.info("TRANSFORMERS_PARAMS=")
         pprint.PrettyPrinter(indent=4, sort_dicts=False).pprint(params)