added desc_act option

.github/workflows/package.yml

@@ -6,11 +6,8 @@ on:
   workflow_dispatch:
 
 jobs:
-  package:
+  package_on_ubuntu:
-    runs-on: self-hosted
+    runs-on: ubuntu-selfhosted
-    strategy:
-      matrix:
-        os: [windows-latest, ubuntu-latest]
     steps:
       - name: Set up Python
         uses: actions/setup-python@v3
@@ -20,19 +17,67 @@ jobs:
       - name: Checkout repository
         uses: actions/checkout@v3
 
+      - name: Upgrade Pip
+        run: python -m pip install --upgrade pip
+          
       - name: Install dependencies
         run: |
-          python -m pip install --upgrade pip
+          sudo apt-get update
+          sudo apt-get upgrade -y
+          sudo apt-get install patchelf -y
           pip install -r requirements.txt
-          pip install pyinstaller
+          pip install nuitka
+          sudo apt install patchelf
 
       - name: Build and package
+        run: python3 -m nuitka StartUI.py --onefile --enable-plugin=pyqt5 --product-version=1.6.0 --disable-console --include-data-files=webuiGUI.py=webuiGUI.py --output-dir=./dist --noinclude-pytest-mode=nofollow --noinclude-setuptools-mode=nofollow
+
+      - name: remove build folders
         run: |
-          pyinstaller --noconfirm --onefile --windowed StartUI.py
+          rm -rf dist/StartUI.build
-          cp webuiGUI.py dist/  # Copy webuiGUI.py to the dist directory
+          rm -rf dist/StartUI.dist
+          rm -rf dist/StartUI.onefile-build
+
+      - name: Executive permission
+        run: |
+          chmod +x dist/StartUI
 
       - name: Upload artifacts
         uses: actions/upload-artifact@v3
         with:
-          name: ${{ matrix.os }}-binary-v1.5.1
+          name: ubuntu-binary-v1.6
+          path: dist
+
+  package_on_windows:
+    runs-on: windows-selfhosted
+    steps:
+      - name: Set up Python
+        uses: actions/setup-python@v3
+        with:
+          python-version: 3.x
+
+      - name: Checkout repository
+        uses: actions/checkout@v3
+
+      - name: Upgrade Pip
+        run: python -m pip install --upgrade pip
+          
+      - name: Install dependencies
+        run: |
+          pip install -r requirements.txt
+          pip install nuitka
+
+      - name: Build and package
+        run: nuitka StartUI.py --onefile --enable-plugin=pyqt5 --product-version=1.6.0 --disable-console --include-data-files=webuiGUI.py=webuiGUI.py --output-dir=./dist --noinclude-pytest-mode=nofollow --noinclude-setuptools-mode=nofollow
+
+      - name: remove build folders
+        run: |
+         Remove-Item -Recurse -Force ./dist/StartUI.build
+         Remove-Item -Recurse -Force ./dist/StartUI.dist
+         Remove-Item -Recurse -Force ./dist/StartUI.onefile-build
+
+      - name: Upload artifacts
+        uses: actions/upload-artifact@v3
+        with:
+          name: windows-binary-v1.6
           path: dist

StartUI.py

@@ -1,21 +1,28 @@
 import sys, os, gpustat, json, subprocess, platform, psutil, re, requests, darkdetect, qdarkstyle, time
-from PyQt5.QtWidgets import QApplication, QHBoxLayout, QToolBar, QMessageBox, QAction, QMainWindow, QSpinBox, QLabel, QVBoxLayout, QComboBox, QSlider, QCheckBox, QLineEdit, QFileDialog, QPushButton, QWidget, QListWidget, QListWidgetItem, QGridLayout, QRadioButton, QFrame
+
 from PyQt5.QtCore import Qt
 from PyQt5.QtGui import QDoubleValidator, QIntValidator
+from PyQt5.QtWidgets import QAction, QApplication, QCheckBox, QComboBox, QFileDialog, QFrame, QGridLayout, QHBoxLayout, QLabel, QLineEdit, QListWidget, QListWidgetItem, QMainWindow, QMessageBox, QPushButton, QRadioButton, QSlider, QSpinBox, QToolBar, QVBoxLayout, QWidget
 
 # For showing the current version and checking for updates
-version = "1.5.1"
+version = "1.6"
 
 # Profile folder for loading and saving profiles.
 profiles_folder = "./profiles"
 # Create the profile folder if it doesn't exist
 os.makedirs(profiles_folder, exist_ok=True)
 
+repo_path = "./text-generation-webui"
 model_folder = "./text-generation-webui/models"
 extensions_folder = "./text-generation-webui/extensions"
 loras_folder = "./text-generation-webui/loras"
 characters_folder = "./text-generation-webui/characters"
 
+if getattr(sys, 'frozen', False):
+    webui_file = sys._MEIPASS + '/webuiGUI.py'
+else:
+    webui_file = 'webuiGUI.py'
+
 # Get the current Max CPU threads to use, so the user can't exceed his thread count.
 max_threads = psutil.cpu_count(logical=True)
 
@@ -154,7 +161,7 @@ class MainWindow(QMainWindow):
         self.Accelerate_settings_checkbox.stateChanged.connect(self.on_Accelerate_settings_checkbox_stateChanged)
         toolbar.addWidget(self.Accelerate_settings_checkbox)
         if platform.system() == 'Windows':
-            #self.Accelerate_settings_checkbox.setEnabled(False)
+            self.Accelerate_settings_checkbox.setEnabled(False)
             self.Accelerate_settings_checkbox.setToolTip("Accelerate is not Supported in Windows.")
 
         ################################################
@@ -216,6 +223,7 @@ class MainWindow(QMainWindow):
         # |_|  |_|\__,_|_|_| |_|    \_/\_/  |_|_| |_|\__,_|\___/ \_/\_/   #
         #                                                                 #
         ###################################################################
+        
         layout = QGridLayout()
         layout.setColumnMinimumWidth(0, 350)
         layout.setColumnMinimumWidth(3, 30)
@@ -307,7 +315,7 @@ class MainWindow(QMainWindow):
 
         # Interface Mode Dropdown
         self.mode_dropdown = QComboBox()
-        self.mode_dropdown.addItems(["chat", "cai_chat", "notebook"])
+        self.mode_dropdown.addItems(["chat", "notebook"])
         self.mode_dropdown.setToolTip("Choose what kind of Interface you want to load.")
         interface_mode_box.addWidget(self.mode_dropdown)
         layout.addLayout(interface_mode_box, 3, 0)
@@ -413,6 +421,7 @@ class MainWindow(QMainWindow):
         self.pre_layer_slider_value = []
         self.pre_layer_amount_max = 100
         # Don't get confused. With the latest changes, each GPU can have it's own pre_layer value. So we check again gpu_stats for the amount.
+        if nvidia_gpu:
             for i, gpu in enumerate(gpu_stats):
                 pre_layer_labels = QLabel(f"{gpu.name} Pre_Layer:")
                 pre_layer_labels.setToolTip(f"The number of layers to allocate to the GPU.\nSetting this parameter enables CPU offloading for 4-bit models.\nFor multi-gpu, write the numbers separated by spaces, eg --pre_layer 30 60.")
@@ -443,7 +452,7 @@ class MainWindow(QMainWindow):
         # Deactivate Streaming Output
         self.use_nostream_checkbox = QCheckBox("No Stream")
         self.use_nostream_checkbox.setToolTip("Don't stream the text output in real time. Increases Token/s by ~ 50%")
-        layout.addWidget(self.use_nostream_checkbox, 15 + (len(gpu_stats) * 2), 1)
+        layout.addWidget(self.use_nostream_checkbox, 14 + (len(gpu_stats) * 2), 1)
 
         # Load in full 16bit precision
         self.use_16bit_checkbox = QCheckBox("Load in 16bit")
@@ -534,11 +543,16 @@ class MainWindow(QMainWindow):
         self.use_triton_checkbox.setToolTip("Use Triton for inference.")
         layout.addWidget(self.use_triton_checkbox, 22 + (len(gpu_stats) * 2), 1)
 
+        # Add desc_act option Checkbox
+        self.use_desc_act_checkbox = QCheckBox("Use desc_act")
+        self.use_desc_act_checkbox.setToolTip("For models that don\'t have a quantize_config.json, this parameter is used to define whether to set desc_act or not in BaseQuantizeConfig.")
+        layout.addWidget(self.use_desc_act_checkbox, 23 + (len(gpu_stats) * 2), 0)
+
         # Add horizontal line to seperate the Checkboxes
         line = QFrame()
         line.setFrameShape(QFrame.HLine)
         line.setFrameShadow(QFrame.Sunken)
-        layout.addWidget(line, 23 + (len(gpu_stats) * 2), 0, 1, 3)
+        layout.addWidget(line, 29 + (len(gpu_stats) * 2), 0, 1, 3)
 
         # New GUI Options based on Toolbox Checkboxes.
 
@@ -737,12 +751,49 @@ class MainWindow(QMainWindow):
         self.llama_gpu_layer_box.addWidget(self.llama_gpu_layer_spinbox)
         layout.addLayout(self.llama_gpu_layer_box, 45 + (len(gpu_stats) * 2), 1, 1, 2)
 
+        # llama.cpp n_ctx inner layout
+        llama_n_ctx_inner_layout = QHBoxLayout()
+
+        # llama.cpp n_ctx label
+        self.llama_n_ctx_label = QLabel("n_ctx:")
+        self.llama_n_ctx_label.setVisible(False)
+        self.llama_n_ctx_label.setToolTip("Size of the prompt context.")
+        llama_n_ctx_inner_layout.addWidget(self.llama_n_ctx_label)
+
+        # llama.cpp n_ctx size dropdown
+        self.llama_n_ctx_dropdown = QComboBox()
+        self.llama_n_ctx_dropdown.setToolTip("Size of the prompt context.")
+        self.llama_n_ctx_dropdown.addItems(["128", "256", "512", "1024", "2048", "4096", "8192"])
+        self.llama_n_ctx_dropdown.setCurrentIndex(4)
+        self.llama_n_ctx_dropdown.setVisible(False)
+        llama_n_ctx_inner_layout.addWidget(self.llama_n_ctx_dropdown)
+        layout.addLayout(llama_n_ctx_inner_layout, 46 + (len(gpu_stats) * 2), 0)
+
+        # llama.cpp seed layout
+        llama_seed_inner_layout = QHBoxLayout()
+
+        # llama.cpp seed label
+        self.llama_seed_label = QLabel("Seed:")
+        self.llama_seed_label.setVisible(False)
+        self.llama_seed_label.setToolTip("Seed for llama-cpp models. Default 0 (random).")
+        llama_seed_inner_layout.addWidget(self.llama_seed_label)
+
+        # llama.cpp seed spinbox
+        self.llama_seed_spinbox = QSpinBox()
+        self.llama_seed_spinbox.setToolTip("Seed for llama-cpp models. Default 0 (random).")
+        self.llama_seed_spinbox.setRange(0, 2147483647)
+        self.llama_seed_spinbox.setValue(0)
+        self.llama_seed_spinbox.setSingleStep(1)
+        self.llama_seed_spinbox.setVisible(False)
+        llama_seed_inner_layout.addWidget(self.llama_seed_spinbox)
+        layout.addLayout(llama_seed_inner_layout, 46 + (len(gpu_stats) * 2), 1, 1, 2)
+
         # Seperator for the Toolbox Options
         self.llama_line = QFrame()
         self.llama_line.setFrameShape(QFrame.HLine)
         self.llama_line.setFrameShadow(QFrame.Sunken)
         self.llama_line.setVisible(False)
-        layout.addWidget(self.llama_line, 46 + (len(gpu_stats) * 2), 0, 1, 3)
+        layout.addWidget(self.llama_line, 49 + (len(gpu_stats) * 2), 0, 1, 3)
 
         ########################################
         #  _____ _            ____             #
@@ -1246,6 +1297,10 @@ class MainWindow(QMainWindow):
         self.llama_gpu_layer_label.setVisible(state == Qt.Checked)
         self.llama_gpu_layer_spinbox.setVisible(state == Qt.Checked)
         self.llama_cache_capacity_units.setVisible(state == Qt.Checked)
+        self.llama_n_ctx_label.setVisible(state == Qt.Checked)
+        self.llama_n_ctx_dropdown.setVisible(state == Qt.Checked)
+        self.llama_seed_label.setVisible(state == Qt.Checked)
+        self.llama_seed_spinbox.setVisible(state == Qt.Checked)
 
     def on_deepspeed_nvme_button_clicked(self):
         folder = QFileDialog.getExistingDirectory(self, "Offload Directory")
@@ -1520,7 +1575,6 @@ class MainWindow(QMainWindow):
             "use_cpu": self.cpu_radio_button.isChecked(),  # Save the state of the CPU radio button
             "use_auto": self.auto_radio_button.isChecked(),  # Save the state of the auto device radio button
             "built_in_ram": self.ram_slider.value(),  # Save the value of the built-in RAM slider
-            #"prelayer": self.pre_layer_value_label.text(), # Saves the Prelayer value
             "use_8bit": self.use_8bit_checkbox.isChecked(), # Saves the state of the 8bit checkbox
             "no_stream": self.use_nostream_checkbox.isChecked(), # Saves the state of the no_stream checkbox
             "use_16bit": self.use_16bit_checkbox.isChecked(), # Saves the state of the use_16bit checkbox
@@ -1534,6 +1588,11 @@ class MainWindow(QMainWindow):
             "sdp_attention": self.use_sdp_attention_checkbox.isChecked(), # Saves the state of the sdp_attention checkbox
             "autogptq": self.use_autogptq_checkbox.isChecked(), # Saves the state of the autogptq checkbox
             "triton": self.use_triton_checkbox.isChecked(), # Saves the state of the triton checkbox
+            "acceleration": self.Accelerate_settings_checkbox.isChecked(), # Saves the state of the Accelerate checkbox
+            "use_4bit": self.accelerate4bit_checkbox.isChecked(), # Saves the state of the accelerate4bit checkbox
+            "compute_dtype": self.accelerate4bit_compute_type_dropdown.currentText(), # Saves the state of the accelerate4bit_compute_type_dropdown
+            "quant_type": self.accelerate4bit_quant_type_dropdown.currentText(), # Saves the state of the accelerate4bit_quant_type_dropdown
+            "use_x2_quant": self.accelerate4bit_double_quant_checkbox.isChecked(), # Saves the state of the accelerate4bit_double_quant_checkbox
             "deepspeed": self.deepspeed_settings_checkbox.isChecked(), # Saves the state of the deepspeed checkbox
             "deepspeed_enabled": self.deepspeed_checkbox.isChecked(), # Saves the state of the deepspeed checkbox
             "deepspeed_gpu_num": self.deepspeed_gpu_num_spinbox.value(), # Saves the state of the deepspeed_gpu_num_spinbox
@@ -1548,6 +1607,8 @@ class MainWindow(QMainWindow):
             "llama_cache_capacity": self.llama_cache_capacity_spinbox.value(), # Saves the state of the llama_cache_capacity_spinbox
             "llama_cache_units": self.llama_cache_capacity_units.currentText(), # Saves the state of the llama_cache_capacity_units
             "llama_gpu_layer": self.llama_gpu_layer_spinbox.value(), # Saves the state of the llama_gpu_layer_spinbox
+            "llama_n_ctx": self.llama_n_ctx_dropdown.currentText(), # Saves the state of the llama_n_ctx_dropdown
+            "llama_seed": self.llama_seed_spinbox.value(), # Saves the state of the llama_seed_spinbox
             "flexgen_settings": self.flexgen_settings_checkbox.isChecked(), # Saves the state of the flexgen_settings_checkbox
             "use_flexgen": self.flexgen_checkbox.isChecked(), # Saves the state of the flexgen_checkbox
             "flexgen_precentage_1": self.flexgen_percentage_spinbox1.value(), # Saves the state of the flexgen_percentage_spinbox1
@@ -1603,7 +1664,6 @@ class MainWindow(QMainWindow):
 
     def expression_check(self, command):
         selected_model = self.model_dropdown.currentText()
-        #print(f"Selected model: {selected_model}")
         
         # Use a regular expression to check if the selected model matches the pattern
         if re.search(r".*mpt.*7b", selected_model, re.IGNORECASE):
@@ -1623,6 +1683,8 @@ class MainWindow(QMainWindow):
             command += f" --threads {self.llama_threads_spinbox.value()}"
             command += f" --n_batch {self.llama_batch_size_spinbox.value()}"
             command += f" --cache-capacity {self.llama_cache_capacity_spinbox.value()}{self.llama_cache_capacity_units.currentText()}"
+            command += f" --n_ctx {self.llama_n_ctx_dropdown.currentText()}"
+            command += f" --llama_cpp_seed {self.llama_seed_spinbox.value()}"
 
         if self.llama_gpu_layer_spinbox.value() != 0:
             command += f" --n-gpu-layers {self.llama_gpu_layer_spinbox.value()}"
@@ -1649,9 +1711,8 @@ class MainWindow(QMainWindow):
             command += f" --model {chosen_model}"
 
         # Add the chosen model type to the command
-        chosen_model_type = self.model_type.currentText()
         if self.model_type.currentText() != "none" and self.model_dropdown.currentText() != "none":
-            command += f" --model_type {chosen_model_type}"
+            command += f" --model_type {self.model_type.currentText()}"
 
         # Add loras to the command
         loras = [self.lora_list.item(i).text() for i in range(self.lora_list.count()) if self.lora_list.item(i).checkState() == Qt.Checked]
@@ -1660,22 +1721,18 @@ class MainWindow(QMainWindow):
                 command += f" --lora {' '.join(loras)}"
 
         # Add Characters to the command
-        chosen_characters = self.character_to_load.currentText()
         if self.character_to_load.currentText() != "none":
-            command += f" --character {chosen_characters}"
+            command += f" --character {self.character_to_load.currentText()}"
-            print(chosen_characters)
 
         # Adds wbits to the command, if not "none"
-        chosen_wbits = self.wbit_dropdown.currentText()
         if self.wbit_dropdown.currentText() != "none":
             if not self.cpu_radio_button.isChecked() and self.model_dropdown.currentText() != "none":
-                command += f" --wbits {chosen_wbits}"
+                command += f" --wbits {self.wbit_dropdown.currentText()}"
 
         # Adds Groupsize to the command, if not "none"
-        chosen_gsize = self.gsize_dropdown.currentText()
         if self.gsize_dropdown.currentText() != "none":
             if not self.cpu_radio_button.isChecked() and self.model_dropdown.currentText() != "none":
-                command += f" --groupsize {chosen_gsize}"
+                command += f" --groupsize {self.gsize_dropdown.currentText()}"
 
         # Add the chosen mode to the command (Chat, cai-chat, notebook)
         chosen_mode = self.mode_dropdown.currentText()
@@ -1750,10 +1807,10 @@ class MainWindow(QMainWindow):
         if self.accelerate4bit_checkbox.isChecked():
             command += " --load-in-4bit"
 
-        if self.accelerate4bit_compute_type_dropdown != "none":
+        if self.accelerate4bit_compute_type_dropdown.currentText() != "none":
             command += f" --compute_dtype {self.accelerate4bit_compute_type_dropdown.currentText()}"
 
-        if self.accelerate4bit_quant_type_dropdown != "none":
+        if self.accelerate4bit_quant_type_dropdown.currentText() != "none":
             command += f" --quant_type {self.accelerate4bit_quant_type_dropdown.currentText()}"
 
         if self.accelerate4bit_double_quant_checkbox.isChecked():
@@ -1805,12 +1862,15 @@ class MainWindow(QMainWindow):
         # If AutoGPTQ is checked
         if self.use_autogptq_checkbox.isChecked():
             command += " --autogptq"
-            run_cmd_with_conda("pip install auto_gptq && exit")
 
         # If triton is checked
         if self.use_triton_checkbox.isChecked():
             command += " --triton"
 
+        # if desc_act is checked
+        if self.use_desc_act_checkbox.isChecked():
+            command += " --desc_act"
+
         # Adds the chosen extensions to the list of the command.
         extensions = [self.extensions_list.item(i).text() for i in range(self.extensions_list.count()) if self.extensions_list.item(i).checkState() == Qt.Checked]
         if self.use_extensions_checkbox.isChecked():
@@ -1828,7 +1888,7 @@ class MainWindow(QMainWindow):
                 command += f" --api-streaming-port {self.api_streaming_port_SpinBox.text()}"
 
         # Just for debugging.
-        print(f"Command generated: python webuiGUI.py {command}")
+        print(f"Command generated: python {webui_file} {command}")
 
         # Based on the Model that's chosen, we will take care of some necessary stuff.
         # Starts the webui in the conda env with the user given Options
@@ -1848,24 +1908,15 @@ class MainWindow(QMainWindow):
 
         if not self.deepspeed_checkbox.isChecked():
             if self.use_8bit_checkbox.isChecked():
-                run_cmd_with_conda(f"pip install accelerate && python webuiGUI.py {command}")
+                run_cmd_with_conda(f"pip install accelerate && python {webui_file} {command}")
             else:
-                run_cmd_with_conda(f"python webuiGUI.py {command}")
+                run_cmd_with_conda(f"python {webui_file} {command}")
 
         if self.use_autoclose_checkbox.isChecked():
             sys.exit()
             
     def on_update_button_clicked(self):
-        run_cmd_with_conda("python webuiGUI.py --update && exit")
+        run_cmd_with_conda(f"python {webui_file} --update && exit")
-
-    def load_profile(self, profile_file):
-        with open(profile_file, "r") as file:
-            try:
-                settings = json.load(file)
-                # Set the GUI elements based on the loaded settings...
-            except json.JSONDecodeError:
-                # Handle the case when the file is empty or not in valid JSON format
-                pass
 
     def populate_profiles_dropdown(self):
         self.profiles_dropdown.clear()
@@ -1909,6 +1960,13 @@ class MainWindow(QMainWindow):
         self.use_sdp_attention_checkbox.setChecked(settings.get("sdp_attention", False))
         self.use_autogptq_checkbox.setChecked(settings.get("autogptq", False))
         self.use_triton_checkbox.setChecked(settings.get("triton", False))
+        # Acceleration 4bit
+        self.Accelerate_settings_checkbox.setChecked(settings.get("acceleration", False))
+        self.accelerate4bit_checkbox.setChecked(settings.get("use_4bit", False))
+        self.accelerate4bit_compute_type_dropdown.setCurrentText(settings.get("compute_dtype", ""))
+        self.accelerate4bit_quant_type_dropdown.setCurrentText(settings.get("quant_type", ""))
+        self.accelerate4bit_double_quant_checkbox.setChecked(settings.get("use_x2_quant", False))
+        # Deepspeed
         self.deepspeed_settings_checkbox.setChecked(settings.get("deepspeed", False))
         self.deepspeed_checkbox.setChecked(settings.get("deepspeed_enabled", False))
         self.deepspeed_gpu_num_spinbox.setValue(int(settings.get("deepspeed_gpu_num", 0)))
@@ -1916,6 +1974,7 @@ class MainWindow(QMainWindow):
         self.deepspeed_nvme_current_label.setText(f"Current Directory Folder: {self.selected_offload_directory}")
         self.deepspeed_nvme_checkbox.setChecked(settings.get("deepspeed_nvme_enabled", False))
         self.deepspeed_local_rank_spinbox.setValue(int(settings.get("deepspeed_local_rank", 0)))
+        # llama
         self.llama_settings_checkbox.setChecked(settings.get("llama_settings", False))
         self.llama_threads_spinbox.setValue(int(settings.get("llama_threads", 0)))
         self.llama_batch_size_spinbox.setValue(int(settings.get("llama_batch_size", 0)))
@@ -1924,6 +1983,9 @@ class MainWindow(QMainWindow):
         self.llama_cache_capacity_spinbox.setValue(int(settings.get("llama_cache_capacity", 0)))
         self.llama_cache_capacity_units.setCurrentText(settings.get("llama_cache_units", ""))
         self.llama_gpu_layer_spinbox.setValue(int(settings.get("llama_gpu_layer", 0)))
+        self.llama_n_ctx_dropdown.setCurrentText(settings.get("llama_n_ctx", ""))
+        self.llama_seed_spinbox.setValue(int(settings.get("llama_seed", 0)))
+        # flexgen
         self.flexgen_settings_checkbox.setChecked(settings.get("flexgen_settings", False))
         self.flexgen_checkbox.setChecked(settings.get("use_flexgen", False))
         self.flexgen_percentage_spinbox1.setValue(int(settings.get("flexgen_precentage_1", 0)))
@@ -1934,12 +1996,14 @@ class MainWindow(QMainWindow):
         self.flexgen_percentage_spinbox6.setValue(int(settings.get("flexgen_precentage_6", 0)))
         self.flexgen_compression_checkbox.setChecked(settings.get("flexgen_compression", False))
         self.flexgen_pin_weight_dropdown.setCurrentText(settings.get("flexgen_pin_weight", ""))
+        # RWKV
         self.rwkv_settings_checkbox.setChecked(settings.get("rwkv_settings", False))
         self.rwkv_checkbox.setChecked(settings.get("use_rwkv", False))
         self.rwkv_strategy_checkbox.setChecked(settings.get("rwkv_strategy", False))
         self.rwkv_strategy_dropdown.setCurrentText(settings.get("rwkv_strategy_dropdown", ""))
         self.rwkv_allocation_spinbox.setValue(int(settings.get("rwkv_allocation", 0)))
         self.rwkv_cuda_checkbox.setChecked(settings.get("rwkv_cuda", False))
+        # API
         self.api_settings_checkbox.setChecked(settings.get("api_settings", False))
         self.api_checkbox.setChecked(settings.get("use_api", False))
         self.api_blocking_port_checkbox.setChecked(settings.get("api_blocking_port_enabled", False))