import json import re import shutil import importlib from functools import partial from datetime import datetime from typing import Tuple, Dict, List, Any from dotenv import load_dotenv from PySide6.QtCore import * from PySide6.QtGui import * from PySide6.QtWidgets import * from GPUMonitor import GPUMonitor from KVOverrideEntry import KVOverrideEntry from Logger import Logger from ModelInfoDialog import ModelInfoDialog from CustomTitleBar import CustomTitleBar from error_handling import show_error, handle_error from TaskListItem import TaskListItem from QuantizationThread import QuantizationThread from imports_and_globals import ( open_file_safe, resource_path, show_about, ensure_directory, ) from Localizations import * import presets import ui_update import lora_conversion import utils import requests class AutoGGUF(QMainWindow): def __init__(self, args: List[str]) -> None: super().__init__() self.logger = Logger("AutoGGUF", "logs") width, height = self.parse_resolution() self.logger.info(INITIALIZING_AUTOGGUF) self.setWindowTitle(WINDOW_TITLE) self.setWindowIcon(QIcon(resource_path("assets/favicon.ico"))) self.setGeometry(100, 100, width, height) self.setWindowFlag(Qt.FramelessWindowHint) load_dotenv() # Loads the .env file self.resize_factor = 1.1 # 10% increase/decrease self.default_width, self.default_height = self.parse_resolution() self.resize(self.default_width, self.default_height) ensure_directory(os.path.abspath("quantized_models")) ensure_directory(os.path.abspath("models")) # References self.update_base_model_visibility = partial( ui_update.update_base_model_visibility, self ) self.update_assets = ui_update.update_assets.__get__(self) self.update_cuda_option = ui_update.update_cuda_option.__get__(self) self.update_cuda_backends = ui_update.update_cuda_backends.__get__(self) self.download_llama_cpp = utils.download_llama_cpp.__get__(self) self.refresh_releases = utils.refresh_releases.__get__(self) self.browse_lora_input = utils.browse_lora_input.__get__(self) self.browse_lora_output = utils.browse_lora_output.__get__(self) self.convert_lora = lora_conversion.convert_lora.__get__(self) self.show_about = show_about.__get__(self) self.save_preset = presets.save_preset.__get__(self) self.load_preset = presets.load_preset.__get__(self) self.browse_export_lora_model = ( lora_conversion.browse_export_lora_model.__get__(self) ) self.browse_export_lora_output = ( lora_conversion.browse_export_lora_output.__get__(self) ) self.add_lora_adapter = lora_conversion.add_lora_adapter.__get__(self) self.export_lora = lora_conversion.export_lora.__get__(self) self.browse_models = utils.browse_models.__get__(self) self.browse_output = utils.browse_output.__get__(self) self.browse_logs = utils.browse_logs.__get__(self) self.browse_imatrix = utils.browse_imatrix.__get__(self) self.get_models_data = utils.get_models_data.__get__(self) self.get_tasks_data = utils.get_tasks_data.__get__(self) self.update_threads_spinbox = partial(ui_update.update_threads_spinbox, self) self.update_threads_slider = partial(ui_update.update_threads_slider, self) self.update_gpu_offload_spinbox = partial( ui_update.update_gpu_offload_spinbox, self ) self.update_gpu_offload_slider = partial( ui_update.update_gpu_offload_slider, self ) self.update_model_info = partial(ui_update.update_model_info, self.logger, self) self.update_system_info = partial(ui_update.update_system_info, self) self.update_download_progress = partial( ui_update.update_download_progress, self ) self.delete_lora_adapter_item = partial( lora_conversion.delete_lora_adapter_item, self ) # Set up main widget and layout main_widget = QWidget() main_layout = QVBoxLayout(main_widget) main_layout.setContentsMargins(0, 0, 0, 0) main_layout.setSpacing(0) # Custom title bar self.title_bar = CustomTitleBar(self) main_layout.addWidget(self.title_bar) # Menu bar self.menubar = QMenuBar() self.title_bar.layout().insertWidget(1, self.menubar) # File menu file_menu = self.menubar.addMenu("&File") close_action = QAction("&Close", self) close_action.setShortcut(QKeySequence("Alt+F4")) close_action.triggered.connect(self.close) save_preset_action = QAction("&Save Preset", self) save_preset_action.setShortcut(QKeySequence("Ctrl+S")) save_preset_action.triggered.connect(self.save_preset) load_preset_action = QAction("&Load Preset", self) load_preset_action.setShortcut(QKeySequence("Ctrl+S")) load_preset_action.triggered.connect(self.load_preset) file_menu.addAction(close_action) file_menu.addAction(save_preset_action) file_menu.addAction(load_preset_action) # Help menu help_menu = self.menubar.addMenu("&Help") about_action = QAction("&About", self) about_action.setShortcut(QKeySequence("Ctrl+Q")) about_action.triggered.connect(self.show_about) help_menu.addAction(about_action) # Content widget content_widget = QWidget() content_layout = QHBoxLayout(content_widget) # Wrap content in a scroll area scroll_area = QScrollArea() scroll_area.setWidgetResizable(True) # Allow content to resize scroll_area.setWidget(content_widget) # Add scroll area to main layout main_layout.addWidget(scroll_area) self.setCentralWidget(main_widget) # Styling self.setStyleSheet( """ AutoGGUF { background-color: #2b2b2b; border-radius: 10px; } """ ) # Initialize threads self.quant_threads = [] # Timer for updating system info self.timer = QTimer() self.timer.timeout.connect(self.update_system_info) self.timer.start(200) # Add all widgets to content_layout left_widget = QWidget() right_widget = QWidget() left_widget.setMinimumWidth(1100) right_widget.setMinimumWidth(400) left_layout = QVBoxLayout(left_widget) right_layout = QVBoxLayout(right_widget) content_layout.addWidget(left_widget) content_layout.addWidget(right_widget) # System info self.ram_bar = QProgressBar() self.cpu_bar = QProgressBar() self.cpu_label = QLabel() self.gpu_monitor = GPUMonitor() left_layout.addWidget(QLabel(RAM_USAGE)) left_layout.addWidget(self.ram_bar) left_layout.addWidget(QLabel(CPU_USAGE)) left_layout.addWidget(self.cpu_bar) left_layout.addWidget(QLabel(GPU_USAGE)) left_layout.addWidget(self.gpu_monitor) # Backend selection backend_layout = QHBoxLayout() self.backend_combo = QComboBox() self.refresh_backends_button = QPushButton(REFRESH_BACKENDS) self.refresh_backends_button.clicked.connect(self.refresh_backends) backend_layout.addWidget(QLabel(BACKEND)) backend_layout.addWidget(self.backend_combo) backend_layout.addWidget(self.refresh_backends_button) left_layout.addLayout(backend_layout) # Download llama.cpp section download_group = QGroupBox(DOWNLOAD_LLAMACPP) download_layout = QFormLayout() self.release_combo = QComboBox() self.refresh_releases_button = QPushButton(REFRESH_RELEASES) self.refresh_releases_button.clicked.connect(self.refresh_releases) release_layout = QHBoxLayout() release_layout.addWidget(self.release_combo) release_layout.addWidget(self.refresh_releases_button) download_layout.addRow(SELECT_RELEASE, release_layout) self.asset_combo = QComboBox() self.asset_combo.currentIndexChanged.connect(self.update_cuda_option) download_layout.addRow(SELECT_ASSET, self.asset_combo) self.cuda_extract_checkbox = QCheckBox(EXTRACT_CUDA_FILES) self.cuda_extract_checkbox.setVisible(False) download_layout.addRow(self.cuda_extract_checkbox) self.cuda_backend_label = QLabel(SELECT_CUDA_BACKEND) self.cuda_backend_label.setVisible(False) self.backend_combo_cuda = QComboBox() self.backend_combo_cuda.setVisible(False) download_layout.addRow(self.cuda_backend_label, self.backend_combo_cuda) self.download_progress = QProgressBar() self.download_button = QPushButton(DOWNLOAD) self.download_button.clicked.connect(self.download_llama_cpp) download_layout.addRow(self.download_progress) download_layout.addRow(self.download_button) download_group.setLayout(download_layout) right_layout.addWidget(download_group) # Models path models_layout = QHBoxLayout() self.models_input = QLineEdit(os.path.abspath("models")) models_button = QPushButton(BROWSE) models_button.clicked.connect(self.browse_models) models_layout.addWidget(QLabel(MODELS_PATH)) models_layout.addWidget(self.models_input) models_layout.addWidget(models_button) left_layout.addLayout(models_layout) # Output path output_layout = QHBoxLayout() self.output_input = QLineEdit(os.path.abspath("quantized_models")) output_button = QPushButton(BROWSE) output_button.clicked.connect(self.browse_output) output_layout.addWidget(QLabel(OUTPUT_PATH)) output_layout.addWidget(self.output_input) output_layout.addWidget(output_button) left_layout.addLayout(output_layout) # Logs path logs_layout = QHBoxLayout() self.logs_input = QLineEdit(os.path.abspath("logs")) logs_button = QPushButton(BROWSE) logs_button.clicked.connect(self.browse_logs) logs_layout.addWidget(QLabel(LOGS_PATH)) logs_layout.addWidget(self.logs_input) logs_layout.addWidget(logs_button) left_layout.addLayout(logs_layout) # Model list self.model_tree = QTreeWidget() self.model_tree.setHeaderHidden(True) left_layout.addWidget(QLabel(AVAILABLE_MODELS)) left_layout.addWidget(self.model_tree) # Refresh models button refresh_models_button = QPushButton(REFRESH_MODELS) refresh_models_button.clicked.connect(self.load_models) left_layout.addWidget(refresh_models_button) # Import Model button import_model_button = QPushButton(IMPORT_MODEL) import_model_button.clicked.connect(self.import_model) left_layout.addWidget(import_model_button) # Quantization options quant_options_scroll = QScrollArea() quant_options_widget = QWidget() quant_options_layout = QFormLayout() self.quant_type = QListWidget() self.quant_type.setMinimumHeight(100) self.quant_type.setMinimumWidth(150) self.quant_type.setSelectionMode(QListWidget.SelectionMode.MultiSelection) quant_types = [ "IQ2_XXS", "IQ2_XS", "IQ2_S", "IQ2_M", "IQ1_S", "IQ1_M", "Q2_K", "Q2_K_S", "IQ3_XXS", "IQ3_S", "IQ3_M", "Q3_K", "IQ3_XS", "Q3_K_S", "Q3_K_M", "Q3_K_L", "IQ4_NL", "IQ4_XS", "Q4_K", "Q4_K_S", "Q4_K_M", "Q5_K", "Q5_K_S", "Q5_K_M", "Q6_K", "Q8_0", "Q4_0", "Q4_1", "Q5_0", "Q5_1", "Q4_0_4_4", "Q4_0_4_8", "Q4_0_8_8", "BF16", "F16", "F32", "COPY", ] self.quant_type.addItems(quant_types) quant_options_layout.addRow( self.create_label(QUANTIZATION_TYPE, SELECT_QUANTIZATION_TYPE), self.quant_type, ) self.allow_requantize = QCheckBox(ALLOW_REQUANTIZE) self.leave_output_tensor = QCheckBox(LEAVE_OUTPUT_TENSOR) self.pure = QCheckBox(PURE) quant_options_layout.addRow( self.create_label("", ALLOWS_REQUANTIZING), self.allow_requantize ) quant_options_layout.addRow( self.create_label("", LEAVE_OUTPUT_WEIGHT), self.leave_output_tensor ) quant_options_layout.addRow( self.create_label("", DISABLE_K_QUANT_MIXTURES), self.pure ) self.imatrix = QLineEdit() self.imatrix_button = QPushButton(BROWSE) self.imatrix_button.clicked.connect(self.browse_imatrix) imatrix_layout = QHBoxLayout() imatrix_layout.addWidget(self.imatrix) imatrix_layout.addWidget(self.imatrix_button) quant_options_layout.addRow( self.create_label(IMATRIX, USE_DATA_AS_IMPORTANCE_MATRIX), imatrix_layout ) self.include_weights = QLineEdit() self.exclude_weights = QLineEdit() quant_options_layout.addRow( self.create_label(INCLUDE_WEIGHTS, USE_IMPORTANCE_MATRIX_FOR_TENSORS), self.include_weights, ) quant_options_layout.addRow( self.create_label(EXCLUDE_WEIGHTS, DONT_USE_IMPORTANCE_MATRIX_FOR_TENSORS), self.exclude_weights, ) tensor_types = [ "Q2_K", "Q2_K_S", "Q3_K_S", "Q3_K_M", "Q3_K_L", "Q4_K_S", "Q4_K_M", "Q5_K_S", "Q5_K_M", "Q6_K", "Q8_0", "Q4_0", "Q4_1", "Q5_0", "Q5_1", "BF16", "F16", "F32", ] self.use_output_tensor_type = QCheckBox(USE_OUTPUT_TENSOR_TYPE) self.output_tensor_type = QComboBox() self.output_tensor_type.addItems(tensor_types) self.output_tensor_type.setEnabled(False) self.use_output_tensor_type.toggled.connect( lambda checked: self.output_tensor_type.setEnabled(checked) ) output_tensor_layout = QHBoxLayout() output_tensor_layout.addWidget(self.use_output_tensor_type) output_tensor_layout.addWidget(self.output_tensor_type) quant_options_layout.addRow( self.create_label(OUTPUT_TENSOR_TYPE, USE_THIS_TYPE_FOR_OUTPUT_WEIGHT), output_tensor_layout, ) self.use_token_embedding_type = QCheckBox(USE_TOKEN_EMBEDDING_TYPE) self.token_embedding_type = QComboBox() self.token_embedding_type.addItems(tensor_types) self.token_embedding_type.setEnabled(False) self.use_token_embedding_type.toggled.connect( lambda checked: self.token_embedding_type.setEnabled(checked) ) token_embedding_layout = QHBoxLayout() token_embedding_layout.addWidget(self.use_token_embedding_type) token_embedding_layout.addWidget(self.token_embedding_type) quant_options_layout.addRow( self.create_label(TOKEN_EMBEDDING_TYPE, USE_THIS_TYPE_FOR_TOKEN_EMBEDDINGS), token_embedding_layout, ) self.keep_split = QCheckBox(KEEP_SPLIT) self.override_kv = QLineEdit() quant_options_layout.addRow( self.create_label("", WILL_GENERATE_QUANTIZED_MODEL_IN_SAME_SHARDS), self.keep_split, ) # KV Override section self.kv_override_widget = QWidget() self.kv_override_layout = QVBoxLayout(self.kv_override_widget) self.kv_override_entries = [] add_override_button = QPushButton(ADD_NEW_OVERRIDE) add_override_button.clicked.connect(self.add_kv_override) kv_override_scroll = QScrollArea() kv_override_scroll.setWidgetResizable(True) kv_override_scroll.setWidget(self.kv_override_widget) kv_override_scroll.setMinimumHeight(200) kv_override_main_layout = QVBoxLayout() kv_override_main_layout.addWidget(kv_override_scroll) kv_override_main_layout.addWidget(add_override_button) quant_options_layout.addRow( self.create_label(KV_OVERRIDES, OVERRIDE_MODEL_METADATA), kv_override_main_layout, ) self.extra_arguments = QLineEdit() quant_options_layout.addRow( self.create_label(EXTRA_ARGUMENTS, "Additional command-line arguments"), self.extra_arguments, ) quant_options_widget.setLayout(quant_options_layout) quant_options_scroll.setWidget(quant_options_widget) quant_options_scroll.setWidgetResizable(True) left_layout.addWidget(quant_options_scroll) # Quantize button layout quantize_layout = QHBoxLayout() quantize_button = QPushButton(QUANTIZE_MODEL) quantize_button.clicked.connect(self.quantize_model) save_preset_button = QPushButton(SAVE_PRESET) save_preset_button.clicked.connect(self.save_preset) load_preset_button = QPushButton(LOAD_PRESET) load_preset_button.clicked.connect(self.load_preset) quantize_layout.addWidget(quantize_button) quantize_layout.addWidget(save_preset_button) quantize_layout.addWidget(load_preset_button) left_layout.addLayout(quantize_layout) # Task list self.task_list = QListWidget() self.task_list.setSelectionMode(QListWidget.SelectionMode.NoSelection) self.task_list.itemDoubleClicked.connect(self.show_task_details) left_layout.addWidget(QLabel(TASKS)) left_layout.addWidget(self.task_list) # IMatrix section imatrix_group = QGroupBox(IMATRIX_GENERATION) imatrix_layout = QFormLayout() self.imatrix_datafile = QLineEdit() self.imatrix_datafile_button = QPushButton(BROWSE) self.imatrix_datafile_button.clicked.connect(self.browse_imatrix_datafile) imatrix_datafile_layout = QHBoxLayout() imatrix_datafile_layout.addWidget(self.imatrix_datafile) imatrix_datafile_layout.addWidget(self.imatrix_datafile_button) imatrix_layout.addRow( self.create_label(DATA_FILE, INPUT_DATA_FILE_FOR_IMATRIX), imatrix_datafile_layout, ) self.imatrix_model = QLineEdit() self.imatrix_model_button = QPushButton(BROWSE) self.imatrix_model_button.clicked.connect(self.browse_imatrix_model) imatrix_model_layout = QHBoxLayout() imatrix_model_layout.addWidget(self.imatrix_model) imatrix_model_layout.addWidget(self.imatrix_model_button) imatrix_layout.addRow( self.create_label(MODEL, MODEL_TO_BE_QUANTIZED), imatrix_model_layout ) self.imatrix_output = QLineEdit() self.imatrix_output_button = QPushButton(BROWSE) self.imatrix_output_button.clicked.connect(self.browse_imatrix_output) imatrix_output_layout = QHBoxLayout() imatrix_output_layout.addWidget(self.imatrix_output) imatrix_output_layout.addWidget(self.imatrix_output_button) imatrix_layout.addRow( self.create_label(OUTPUT, OUTPUT_PATH_FOR_GENERATED_IMATRIX), imatrix_output_layout, ) self.imatrix_frequency = QSpinBox() self.imatrix_frequency.setRange(1, 100) self.imatrix_frequency.setValue(1) imatrix_layout.addRow( self.create_label(OUTPUT_FREQUENCY, HOW_OFTEN_TO_SAVE_IMATRIX), self.imatrix_frequency, ) self.imatrix_ctx_size = QSpinBox() self.imatrix_ctx_size.setRange(1, 1048576) self.imatrix_ctx_size.setValue(512) imatrix_layout.addRow( self.create_label(CONTEXT_SIZE, CONTEXT_SIZE_FOR_IMATRIX), self.imatrix_ctx_size, ) threads_layout = QHBoxLayout() self.threads_slider = QSlider(Qt.Orientation.Horizontal) self.threads_slider.setRange(1, 64) self.threads_slider.valueChanged.connect(self.update_threads_spinbox) self.threads_spinbox = QSpinBox() self.threads_spinbox.setRange(1, 128) self.threads_spinbox.valueChanged.connect(self.update_threads_slider) self.threads_spinbox.setMinimumWidth(75) threads_layout.addWidget(self.threads_slider) threads_layout.addWidget(self.threads_spinbox) imatrix_layout.addRow( self.create_label(THREADS, NUMBER_OF_THREADS_FOR_IMATRIX), threads_layout ) gpu_offload_layout = QHBoxLayout() self.gpu_offload_slider = QSlider(Qt.Orientation.Horizontal) self.gpu_offload_slider.setRange(0, 200) self.gpu_offload_slider.valueChanged.connect(self.update_gpu_offload_spinbox) self.gpu_offload_spinbox = QSpinBox() self.gpu_offload_spinbox.setRange(0, 1000) self.gpu_offload_spinbox.valueChanged.connect(self.update_gpu_offload_slider) self.gpu_offload_spinbox.setMinimumWidth(75) self.gpu_offload_auto = QCheckBox(AUTO) self.gpu_offload_auto.stateChanged.connect(self.toggle_gpu_offload_auto) gpu_offload_layout.addWidget(self.gpu_offload_slider) gpu_offload_layout.addWidget(self.gpu_offload_spinbox) gpu_offload_layout.addWidget(self.gpu_offload_auto) imatrix_layout.addRow( self.create_label(GPU_OFFLOAD, SET_GPU_OFFLOAD_VALUE), gpu_offload_layout ) imatrix_generate_button = QPushButton(GENERATE_IMATRIX) imatrix_generate_button.clicked.connect(self.generate_imatrix) imatrix_layout.addRow(imatrix_generate_button) imatrix_group.setLayout(imatrix_layout) right_layout.addWidget(imatrix_group) # LoRA Conversion Section lora_group = QGroupBox(LORA_CONVERSION) lora_layout = QFormLayout() self.lora_input = QLineEdit() lora_input_button = QPushButton(BROWSE) lora_input_button.clicked.connect(self.browse_lora_input) lora_input_layout = QHBoxLayout() lora_input_layout.addWidget(self.lora_input) lora_input_layout.addWidget(lora_input_button) lora_layout.addRow( self.create_label(LORA_INPUT_PATH, SELECT_LORA_INPUT_DIRECTORY), lora_input_layout, ) self.lora_output = QLineEdit() lora_output_button = QPushButton(BROWSE) lora_output_button.clicked.connect(self.browse_lora_output) lora_output_layout = QHBoxLayout() lora_output_layout.addWidget(self.lora_output) lora_output_layout.addWidget(lora_output_button) lora_layout.addRow( self.create_label(LORA_OUTPUT_PATH, SELECT_LORA_OUTPUT_FILE), lora_output_layout, ) self.lora_output_type_combo = QComboBox() self.lora_output_type_combo.addItems(["GGML", "GGUF"]) self.lora_output_type_combo.currentIndexChanged.connect( self.update_base_model_visibility ) lora_layout.addRow( self.create_label(OUTPUT_TYPE, SELECT_OUTPUT_TYPE), self.lora_output_type_combo, ) self.base_model_label = self.create_label(BASE_MODEL, SELECT_BASE_MODEL_FILE) self.base_model_path = QLineEdit() base_model_button = QPushButton(BROWSE) base_model_button.clicked.connect(self.browse_base_model) base_model_layout = QHBoxLayout() base_model_layout.addWidget(self.base_model_path, 1) base_model_layout.addWidget(base_model_button) self.base_model_widget = QWidget() self.base_model_widget.setLayout(base_model_layout) self.base_model_wrapper = QWidget() wrapper_layout = QHBoxLayout(self.base_model_wrapper) wrapper_layout.addWidget(self.base_model_label) wrapper_layout.addWidget(self.base_model_widget, 1) wrapper_layout.setContentsMargins(0, 0, 0, 0) lora_layout.addRow(self.base_model_wrapper) self.update_base_model_visibility(self.lora_output_type_combo.currentIndex()) lora_convert_button = QPushButton(CONVERT_LORA) lora_convert_button.clicked.connect(self.convert_lora) lora_layout.addRow(lora_convert_button) lora_group.setLayout(lora_layout) right_layout.addWidget(lora_group) # Export LoRA export_lora_group = QGroupBox(EXPORT_LORA) export_lora_layout = QFormLayout() self.export_lora_model = QLineEdit() export_lora_model_button = QPushButton(BROWSE) export_lora_model_button.clicked.connect(self.browse_export_lora_model) export_lora_model_layout = QHBoxLayout() export_lora_model_layout.addWidget(self.export_lora_model) export_lora_model_layout.addWidget(export_lora_model_button) export_lora_layout.addRow( self.create_label(MODEL, SELECT_MODEL_FILE), export_lora_model_layout ) self.export_lora_output = QLineEdit() export_lora_output_button = QPushButton(BROWSE) export_lora_output_button.clicked.connect(self.browse_export_lora_output) export_lora_output_layout = QHBoxLayout() export_lora_output_layout.addWidget(self.export_lora_output) export_lora_output_layout.addWidget(export_lora_output_button) export_lora_layout.addRow( self.create_label(OUTPUT, SELECT_OUTPUT_FILE), export_lora_output_layout ) self.export_lora_adapters = QListWidget() add_adapter_button = QPushButton(ADD_ADAPTER) add_adapter_button.clicked.connect(self.add_lora_adapter) adapters_layout = QVBoxLayout() adapters_layout.addWidget(self.export_lora_adapters) buttons_layout = QHBoxLayout() buttons_layout.addWidget(add_adapter_button) adapters_layout.addLayout(buttons_layout) export_lora_layout.addRow( self.create_label(GGML_LORA_ADAPTERS, SELECT_LORA_ADAPTER_FILES), adapters_layout, ) self.export_lora_threads = QSpinBox() self.export_lora_threads.setRange(1, 64) self.export_lora_threads.setValue(8) export_lora_layout.addRow( self.create_label(THREADS, NUMBER_OF_THREADS_FOR_LORA_EXPORT), self.export_lora_threads, ) export_lora_button = QPushButton(EXPORT_LORA) export_lora_button.clicked.connect(self.export_lora) export_lora_layout.addRow(export_lora_button) export_lora_group.setLayout(export_lora_layout) right_layout.addWidget(export_lora_group) # HuggingFace to GGUF Conversion hf_to_gguf_group = QGroupBox(HF_TO_GGUF_CONVERSION) hf_to_gguf_layout = QFormLayout() self.hf_model_input = QLineEdit() hf_model_input_button = QPushButton(BROWSE) hf_model_input_button.clicked.connect(self.browse_hf_model_input) hf_model_input_layout = QHBoxLayout() hf_model_input_layout.addWidget(self.hf_model_input) hf_model_input_layout.addWidget(hf_model_input_button) hf_to_gguf_layout.addRow(MODEL_DIRECTORY, hf_model_input_layout) self.hf_outfile = QLineEdit() hf_outfile_button = QPushButton(BROWSE) hf_outfile_button.clicked.connect(self.browse_hf_outfile) hf_outfile_layout = QHBoxLayout() hf_outfile_layout.addWidget(self.hf_outfile) hf_outfile_layout.addWidget(hf_outfile_button) hf_to_gguf_layout.addRow(OUTPUT_FILE, hf_outfile_layout) self.hf_outtype = QComboBox() self.hf_outtype.addItems(["f32", "f16", "bf16", "q8_0", "auto"]) hf_to_gguf_layout.addRow(OUTPUT_TYPE, self.hf_outtype) self.hf_vocab_only = QCheckBox(VOCAB_ONLY) hf_to_gguf_layout.addRow(self.hf_vocab_only) self.hf_use_temp_file = QCheckBox(USE_TEMP_FILE) hf_to_gguf_layout.addRow(self.hf_use_temp_file) self.hf_no_lazy = QCheckBox(NO_LAZY_EVALUATION) hf_to_gguf_layout.addRow(self.hf_no_lazy) self.hf_model_name = QLineEdit() hf_to_gguf_layout.addRow(MODEL_NAME, self.hf_model_name) self.hf_verbose = QCheckBox(VERBOSE) hf_to_gguf_layout.addRow(self.hf_verbose) self.hf_split_max_size = QLineEdit() hf_to_gguf_layout.addRow(SPLIT_MAX_SIZE, self.hf_split_max_size) self.hf_dry_run = QCheckBox(DRY_RUN) hf_to_gguf_layout.addRow(self.hf_dry_run) hf_to_gguf_convert_button = QPushButton(CONVERT_HF_TO_GGUF) hf_to_gguf_convert_button.clicked.connect(self.convert_hf_to_gguf) hf_to_gguf_layout.addRow(hf_to_gguf_convert_button) hf_to_gguf_group.setLayout(hf_to_gguf_layout) right_layout.addWidget(hf_to_gguf_group) # Modify the task list to support right-click menu self.task_list.setContextMenuPolicy(Qt.ContextMenuPolicy.CustomContextMenu) self.task_list.customContextMenuRequested.connect(self.show_task_context_menu) # Set initial state self.update_base_model_visibility(self.lora_output_type_combo.currentIndex()) # Initialize releases and backends if os.environ.get("AUTOGGUF_CHECK_BACKEND", "").lower() == "enabled": self.refresh_releases() self.refresh_backends() if os.environ.get("AUTOGGUF_CHECK_UPDATE", "").lower() == "enabled": self.logger.info(CHECKING_FOR_UPDATES) self.check_for_updates() # Load theme based on environment variable theme_path = os.environ.get("AUTOGGUF_THEME") if theme_path: try: with open(theme_path, "r") as f: theme = f.read() self.setStyleSheet(theme) except (FileNotFoundError, OSError): # If the specified theme file is not found or inaccessible, # fall back to the default theme with open(resource_path("assets/default.css"), "r") as f: default_theme = f.read() self.setStyleSheet(default_theme) else: # If the environment variable is not set, use the default theme with open(resource_path("assets/default.css"), "r") as f: default_theme = f.read() self.setStyleSheet(default_theme) # Load models self.load_models() # Load plugins self.plugins = self.load_plugins() self.apply_plugins() self.logger.info(AUTOGGUF_INITIALIZATION_COMPLETE) def load_plugins(self) -> Dict[str, Dict[str, Any]]: plugins = {} plugin_dir = "plugins" if not os.path.exists(plugin_dir): self.logger.info(PLUGINS_DIR_NOT_EXIST.format(plugin_dir)) return plugins if not os.path.isdir(plugin_dir): self.logger.warning(PLUGINS_DIR_NOT_DIRECTORY.format(plugin_dir)) return plugins for file in os.listdir(plugin_dir): if file.endswith(".py") and not file.endswith(".disabled.py"): name = file[:-3] path = os.path.join(plugin_dir, file) try: spec = importlib.util.spec_from_file_location(name, path) module = importlib.util.module_from_spec(spec) spec.loader.exec_module(module) for item_name in dir(module): item = getattr(module, item_name) if isinstance(item, type) and hasattr(item, "__data__"): plugin_instance = item() plugin_data = plugin_instance.__data__() compatible_versions = plugin_data.get( "compatible_versions", [] ) if ( "*" in compatible_versions or AUTOGGUF_VERSION in compatible_versions ): plugins[name] = { "instance": plugin_instance, "data": plugin_data, } self.logger.info( PLUGIN_LOADED.format( plugin_data["name"], plugin_data["version"] ) ) else: self.logger.warning( PLUGIN_INCOMPATIBLE.format( plugin_data["name"], plugin_data["version"], AUTOGGUF_VERSION, ", ".join(compatible_versions), ) ) break except Exception as e: self.logger.error(PLUGIN_LOAD_FAILED.format(name, str(e))) return plugins def apply_plugins(self) -> None: if not self.plugins: self.logger.info(NO_PLUGINS_LOADED) return for plugin_name, plugin_info in self.plugins.items(): plugin_instance = plugin_info["instance"] for attr_name in dir(plugin_instance): if not attr_name.startswith("__") and attr_name != "init": attr_value = getattr(plugin_instance, attr_name) setattr(self, attr_name, attr_value) if hasattr(plugin_instance, "init") and callable(plugin_instance.init): plugin_instance.init(self) def check_for_updates(self) -> None: try: response = requests.get( "https://api.github.com/repos/leafspark/AutoGGUF/releases/latest" ) response.raise_for_status() # Raise an exception for bad status codes latest_release = response.json() latest_version = latest_release["tag_name"].replace("v", "") if latest_version > AUTOGGUF_VERSION.replace("v", ""): self.prompt_for_update(latest_release) except requests.exceptions.RequestException as e: self.logger.warning(f"{ERROR_CHECKING_FOR_UPDATES} {e}") def prompt_for_update(self, release) -> None: update_message = QMessageBox() update_message.setIcon(QMessageBox.Information) update_message.setWindowTitle(UPDATE_AVAILABLE) update_message.setText(NEW_VERSION_AVAILABLE.format(release["tag_name"])) update_message.setInformativeText(DOWNLOAD_NEW_VERSION) update_message.addButton(QMessageBox.StandardButton.Yes) update_message.addButton(QMessageBox.StandardButton.No) update_message.setDefaultButton(QMessageBox.StandardButton.Yes) if update_message.exec() == QMessageBox.StandardButton.Yes: QDesktopServices.openUrl(QUrl(release["html_url"])) def keyPressEvent(self, event) -> None: if event.modifiers() == Qt.ControlModifier: if ( event.key() == Qt.Key_Equal ): # Qt.Key_Plus doesn't work on some keyboards self.resize_window(larger=True) elif event.key() == Qt.Key_Minus: self.resize_window(larger=False) elif event.key() == Qt.Key_0: self.reset_size() super().keyPressEvent(event) def resize_window(self, larger) -> None: factor = 1.1 if larger else 1 / 1.1 current_width = self.width() current_height = self.height() new_width = int(current_width * factor) new_height = int(current_height * factor) self.resize(new_width, new_height) def reset_size(self) -> None: self.resize(self.default_width, self.default_height) def parse_resolution(self) -> Tuple[int, int]: res = os.environ.get("AUTOGGUF_RESOLUTION", "1650x1100") try: width, height = map(int, res.split("x")) if width <= 0 or height <= 0: raise ValueError return width, height except (ValueError, AttributeError): return 1650, 1100 def resizeEvent(self, event) -> None: super().resizeEvent(event) path = QPainterPath() path.addRoundedRect(self.rect(), 10, 10) mask = QRegion(path.toFillPolygon().toPolygon()) self.setMask(mask) def refresh_backends(self) -> None: self.logger.info(REFRESHING_BACKENDS) llama_bin = os.path.abspath("llama_bin") os.makedirs(llama_bin, exist_ok=True) self.backend_combo.clear() valid_backends = [ (item, os.path.join(llama_bin, item)) for item in os.listdir(llama_bin) if os.path.isdir(os.path.join(llama_bin, item)) and "cudart-llama" not in item.lower() ] if valid_backends: for name, path in valid_backends: self.backend_combo.addItem(name, userData=path) self.backend_combo.setEnabled( True ) # Enable the combo box if there are valid backends else: self.backend_combo.addItem(NO_BACKENDS_AVAILABLE) self.backend_combo.setEnabled(False) self.logger.info(FOUND_VALID_BACKENDS.format(len(valid_backends))) def save_task_preset(self, task_item) -> None: self.logger.info(SAVING_TASK_PRESET.format(task_item.task_name)) for thread in self.quant_threads: if thread.log_file == task_item.log_file: preset = { "command": thread.command, "backend_path": thread.cwd, "log_file": thread.log_file, } file_name, _ = QFileDialog.getSaveFileName( self, SAVE_TASK_PRESET, "", JSON_FILES ) if file_name: with open(file_name, "w") as f: json.dump(preset, f, indent=4) QMessageBox.information( self, TASK_PRESET_SAVED, TASK_PRESET_SAVED_TO.format(file_name) ) break def browse_base_model(self) -> None: self.logger.info(BROWSING_FOR_BASE_MODEL_FOLDER) # Updated log message base_model_folder = QFileDialog.getExistingDirectory( self, SELECT_BASE_MODEL_FOLDER ) if base_model_folder: self.base_model_path.setText(os.path.abspath(base_model_folder)) def browse_hf_model_input(self) -> None: self.logger.info(BROWSE_FOR_HF_MODEL_DIRECTORY) model_dir = QFileDialog.getExistingDirectory(self, SELECT_HF_MODEL_DIRECTORY) if model_dir: self.hf_model_input.setText(os.path.abspath(model_dir)) def browse_hf_outfile(self) -> None: self.logger.info(BROWSE_FOR_HF_TO_GGUF_OUTPUT) outfile, _ = QFileDialog.getSaveFileName( self, SELECT_OUTPUT_FILE, "", GGUF_FILES ) if outfile: self.hf_outfile.setText(os.path.abspath(outfile)) def convert_hf_to_gguf(self) -> None: self.logger.info(STARTING_HF_TO_GGUF_CONVERSION) try: model_dir = self.hf_model_input.text() if not model_dir: raise ValueError(MODEL_DIRECTORY_REQUIRED) command = ["python", "src/convert_hf_to_gguf.py"] if self.hf_vocab_only.isChecked(): command.append("--vocab-only") if self.hf_outfile.text(): command.extend(["--outfile", self.hf_outfile.text()]) command.extend(["--outtype", self.hf_outtype.currentText()]) if self.hf_use_temp_file.isChecked(): command.append("--use-temp-file") if self.hf_no_lazy.isChecked(): command.append("--no-lazy") if self.hf_model_name.text(): command.extend(["--model-name", self.hf_model_name.text()]) if self.hf_verbose.isChecked(): command.append("--verbose") if self.hf_split_max_size.text(): command.extend(["--split-max-size", self.hf_split_max_size.text()]) if self.hf_dry_run.isChecked(): command.append("--dry-run") command.append(model_dir) logs_path = self.logs_input.text() ensure_directory(logs_path) timestamp = datetime.now().strftime("%Y%m%d_%H%M%S") log_file = os.path.join(logs_path, f"hf_to_gguf_{timestamp}.log") # Log command command_str = " ".join(command) self.logger.info(HF_TO_GGUF_CONVERSION_COMMAND.format(command_str)) thread = QuantizationThread(command, os.getcwd(), log_file) self.quant_threads.append(thread) task_name = CONVERTING_TO_GGUF.format(os.path.basename(model_dir)) task_item = TaskListItem(task_name, log_file, show_progress_bar=False) list_item = QListWidgetItem(self.task_list) list_item.setSizeHint(task_item.sizeHint()) self.task_list.addItem(list_item) self.task_list.setItemWidget(list_item, task_item) thread.status_signal.connect(task_item.update_status) thread.finished_signal.connect( lambda: self.task_finished(thread, task_item) ) thread.error_signal.connect( lambda err: handle_error(self.logger, err, task_item) ) thread.start() except Exception as e: show_error(self.logger, ERROR_STARTING_HF_TO_GGUF_CONVERSION.format(str(e))) self.logger.info(HF_TO_GGUF_CONVERSION_TASK_STARTED) def restart_task(self, task_item) -> None: self.logger.info(RESTARTING_TASK.format(task_item.task_name)) for thread in self.quant_threads: if thread.log_file == task_item.log_file: new_thread = QuantizationThread( thread.command, thread.cwd, thread.log_file ) self.quant_threads.append(new_thread) new_thread.status_signal.connect(task_item.update_status) new_thread.finished_signal.connect( lambda: self.task_finished(new_thread) ) new_thread.error_signal.connect( lambda err: handle_error(self.logger, err, task_item) ) new_thread.model_info_signal.connect(self.update_model_info) new_thread.start() task_item.update_status(IN_PROGRESS) break def lora_conversion_finished(self, thread, input_path, output_path) -> None: self.logger.info(LORA_CONVERSION_FINISHED) if thread in self.quant_threads: self.quant_threads.remove(thread) try: # Only move the file if the output type is GGML if self.lora_output_type_combo.currentText() == "GGML": source_file = os.path.join(input_path, "ggml-adapter-model.bin") if os.path.exists(source_file): shutil.move(source_file, output_path) self.logger.info(LORA_FILE_MOVED.format(source_file, output_path)) else: self.logger.warning(LORA_FILE_NOT_FOUND.format(source_file)) except Exception as e: self.logger.error(ERROR_MOVING_LORA_FILE.format(str(e))) def download_finished(self, extract_dir) -> None: self.logger.info(DOWNLOAD_FINISHED_EXTRACTED_TO.format(extract_dir)) self.download_button.setEnabled(True) self.download_progress.setValue(100) if ( self.cuda_extract_checkbox.isChecked() and self.cuda_extract_checkbox.isVisible() ): cuda_backend = self.backend_combo_cuda.currentData() if cuda_backend and cuda_backend != NO_SUITABLE_CUDA_BACKENDS: self.extract_cuda_files(extract_dir, cuda_backend) QMessageBox.information( self, DOWNLOAD_COMPLETE, LLAMACPP_DOWNLOADED_AND_EXTRACTED.format(extract_dir, cuda_backend), ) else: QMessageBox.warning( self, CUDA_EXTRACTION_FAILED, NO_SUITABLE_CUDA_BACKEND_FOUND ) else: QMessageBox.information( self, DOWNLOAD_COMPLETE, LLAMACPP_BINARY_DOWNLOADED_AND_EXTRACTED.format(extract_dir), ) self.refresh_backends() # Refresh the backends after successful download self.update_cuda_option() # Update CUDA options in case a CUDA-capable backend was downloaded # Select the newly downloaded backend new_backend_name = os.path.basename(extract_dir) index = self.backend_combo.findText(new_backend_name) if index >= 0: self.backend_combo.setCurrentIndex(index) def extract_cuda_files(self, extract_dir, destination) -> None: self.logger.info(EXTRACTING_CUDA_FILES.format(extract_dir, destination)) for root, dirs, files in os.walk(extract_dir): for file in files: if file.lower().endswith(".dll"): source_path = os.path.join(root, file) dest_path = os.path.join(destination, file) shutil.copy2(source_path, dest_path) def download_error(self, error_message) -> None: self.logger.error(DOWNLOAD_ERROR.format(error_message)) self.download_button.setEnabled(True) self.download_progress.setValue(0) show_error(self.logger, DOWNLOAD_FAILED.format(error_message)) # Clean up any partially downloaded files asset = self.asset_combo.currentData() if asset: partial_file = os.path.join(os.path.abspath("llama_bin"), asset["name"]) if os.path.exists(partial_file): os.remove(partial_file) def show_task_context_menu(self, position) -> None: self.logger.debug(SHOWING_TASK_CONTEXT_MENU) item = self.task_list.itemAt(position) if item is not None: context_menu = QMenu(self) properties_action = QAction(PROPERTIES, self) properties_action.triggered.connect(lambda: self.show_task_properties(item)) context_menu.addAction(properties_action) task_item = self.task_list.itemWidget(item) if task_item.status != COMPLETED: cancel_action = QAction(CANCEL, self) cancel_action.triggered.connect(lambda: self.cancel_task(item)) context_menu.addAction(cancel_action) if task_item.status == CANCELED: restart_action = QAction(RESTART, self) restart_action.triggered.connect(lambda: self.restart_task(task_item)) context_menu.addAction(restart_action) delete_action = QAction(DELETE, self) delete_action.triggered.connect(lambda: self.delete_task(item)) context_menu.addAction(delete_action) context_menu.exec(self.task_list.viewport().mapToGlobal(position)) def show_task_properties(self, item) -> None: self.logger.debug(SHOWING_PROPERTIES_FOR_TASK.format(item.text())) task_item = self.task_list.itemWidget(item) for thread in self.quant_threads: if thread.log_file == task_item.log_file: model_info_dialog = ModelInfoDialog(thread.model_info, self) model_info_dialog.exec() break def toggle_gpu_offload_auto(self, state) -> None: is_auto = state == Qt.CheckState.Checked self.gpu_offload_slider.setEnabled(not is_auto) self.gpu_offload_spinbox.setEnabled(not is_auto) def cancel_task_by_item(self, item) -> None: task_item = self.task_list.itemWidget(item) for thread in self.quant_threads: if thread.log_file == task_item.log_file: thread.terminate() task_item.update_status(CANCELED) self.quant_threads.remove(thread) break def cancel_task(self, item) -> None: self.logger.info(CANCELLING_TASK.format(item.text())) self.cancel_task_by_item(item) def delete_task(self, item) -> None: self.logger.info(DELETING_TASK.format(item.text())) # Cancel the task first self.cancel_task_by_item(item) reply = QMessageBox.question( self, CONFIRM_DELETION_TITLE, CONFIRM_DELETION, QMessageBox.StandardButton.Yes | QMessageBox.StandardButton.No, QMessageBox.StandardButton.No, ) if reply == QMessageBox.StandardButton.Yes: task_item = self.task_list.itemWidget(item) row = self.task_list.row(item) self.task_list.takeItem(row) if task_item: task_item.deleteLater() def create_label(self, text, tooltip) -> QLabel: label = QLabel(text) label.setToolTip(tooltip) return label def verify_gguf(self, file_path) -> bool: try: with open(file_path, "rb") as f: magic = f.read(4) return magic == b"GGUF" except Exception: return False def load_models(self) -> None: self.logger.info(LOADING_MODELS) models_dir = self.models_input.text() ensure_directory(models_dir) self.model_tree.clear() sharded_models = {} single_models = [] concatenated_models = [] shard_pattern = re.compile(r"(.*)-(\d+)-of-(\d+)\.gguf$") concat_pattern = re.compile(r"(.*)\.gguf\.part(\d+)of(\d+)$") for file in os.listdir(models_dir): full_path = os.path.join(models_dir, file) if file.endswith(".gguf"): if not self.verify_gguf(full_path): show_error(self.logger, INVALID_GGUF_FILE.format(file)) continue match = shard_pattern.match(file) if match: base_name, shard_num, total_shards = match.groups() if base_name not in sharded_models: sharded_models[base_name] = [] sharded_models[base_name].append((int(shard_num), file)) else: single_models.append(file) else: match = concat_pattern.match(file) if match: concatenated_models.append(file) if hasattr(self, "imported_models"): for imported_model in self.imported_models: file_name = os.path.basename(imported_model) if ( file_name not in single_models and file_name not in concatenated_models ): if self.verify_gguf(imported_model): single_models.append(file_name) else: show_error( self.logger, INVALID_GGUF_FILE.format(imported_model) ) for base_name, shards in sharded_models.items(): parent_item = QTreeWidgetItem(self.model_tree) parent_item.setText(0, SHARDED_MODEL_NAME.format(base_name)) first_shard = sorted(shards, key=lambda x: x[0])[0][1] parent_item.setData(0, Qt.ItemDataRole.UserRole, first_shard) for _, shard_file in sorted(shards): child_item = QTreeWidgetItem(parent_item) child_item.setText(0, shard_file) child_item.setData(0, Qt.ItemDataRole.UserRole, shard_file) for model in sorted(single_models): self.add_model_to_tree(model) for model in sorted(concatenated_models): item = self.add_model_to_tree(model) item.setForeground(0, Qt.gray) item.setToolTip(0, CONCATENATED_FILE_WARNING) self.model_tree.expandAll() self.logger.info( LOADED_MODELS.format( len(single_models) + len(sharded_models) + len(concatenated_models) ) ) if concatenated_models: self.logger.warning( CONCATENATED_FILES_FOUND.format(len(concatenated_models)) ) def add_model_to_tree(self, model) -> QTreeWidgetItem: item = QTreeWidgetItem(self.model_tree) item.setText(0, model) if hasattr(self, "imported_models") and model in [ os.path.basename(m) for m in self.imported_models ]: full_path = next( m for m in self.imported_models if os.path.basename(m) == model ) item.setData(0, Qt.ItemDataRole.UserRole, full_path) item.setToolTip(0, IMPORTED_MODEL_TOOLTIP.format(full_path)) else: item.setData(0, Qt.ItemDataRole.UserRole, model) return item def validate_quantization_inputs(self) -> None: self.logger.debug(VALIDATING_QUANTIZATION_INPUTS) errors = [] if not self.backend_combo.currentData(): errors.append(NO_BACKEND_SELECTED) if not self.models_input.text(): errors.append(MODELS_PATH_REQUIRED) if not self.output_input.text(): errors.append(OUTPUT_PATH_REQUIRED) if not self.logs_input.text(): errors.append(LOGS_PATH_REQUIRED) if not self.model_tree.currentItem(): errors.append(NO_MODEL_SELECTED) if errors: raise ValueError("\n".join(errors)) def add_kv_override(self, override_string=None) -> None: entry = KVOverrideEntry() entry.deleted.connect(self.remove_kv_override) if override_string: key, value = override_string.split("=") type_, val = value.split(":") entry.key_input.setText(key) entry.type_combo.setCurrentText(type_) entry.value_input.setText(val) self.kv_override_layout.addWidget(entry) self.kv_override_entries.append(entry) def remove_kv_override(self, entry) -> None: self.kv_override_layout.removeWidget(entry) self.kv_override_entries.remove(entry) entry.deleteLater() def quantize_model(self) -> None: self.logger.info(STARTING_MODEL_QUANTIZATION) try: self.validate_quantization_inputs() selected_item = self.model_tree.currentItem() if not selected_item: raise ValueError(NO_MODEL_SELECTED) model_file = selected_item.data(0, Qt.ItemDataRole.UserRole) model_name = selected_item.text(0).replace(" (sharded)", "") backend_path = self.backend_combo.currentData() if not backend_path: raise ValueError(NO_BACKEND_SELECTED) selected_quant_types = [ item.text() for item in self.quant_type.selectedItems() ] if not selected_quant_types: raise ValueError(NO_QUANTIZATION_TYPE_SELECTED) input_path = os.path.join(self.models_input.text(), model_file) if not os.path.exists(input_path): raise FileNotFoundError(INPUT_FILE_NOT_EXIST.format(input_path)) tasks = [] # List to keep track of all tasks for quant_type in selected_quant_types: # Start building the output name output_name_parts = [ os.path.splitext(model_name)[0], "converted", quant_type, ] # Check for output tensor options if ( self.use_output_tensor_type.isChecked() or self.leave_output_tensor.isChecked() ): output_tensor_part = "o" if self.use_output_tensor_type.isChecked(): output_tensor_part += ( "." + self.output_tensor_type.currentText() ) output_name_parts.append(output_tensor_part) # Check for embedding tensor options if self.use_token_embedding_type.isChecked(): embd_tensor_part = "t." + self.token_embedding_type.currentText() output_name_parts.append(embd_tensor_part) # Check for pure option if self.pure.isChecked(): output_name_parts.append("pure") # Check for requantize option if self.allow_requantize.isChecked(): output_name_parts.append("rq") # Check for KV override if any( entry.get_override_string() for entry in self.kv_override_entries ): output_name_parts.append("kv") # Join all parts with underscores and add .gguf extension output_name = "_".join(output_name_parts) + ".gguf" output_path = os.path.join(self.output_input.text(), output_name) command = [os.path.join(backend_path, "llama-quantize")] if self.allow_requantize.isChecked(): command.append("--allow-requantize") if self.leave_output_tensor.isChecked(): command.append("--leave-output-tensor") if self.pure.isChecked(): command.append("--pure") if self.imatrix.text(): command.extend(["--imatrix", self.imatrix.text()]) if self.include_weights.text(): command.extend(["--include-weights", self.include_weights.text()]) if self.exclude_weights.text(): command.extend(["--exclude-weights", self.exclude_weights.text()]) if self.use_output_tensor_type.isChecked(): command.extend( [ "--output-tensor-type", self.output_tensor_type.currentText().lower(), ] ) if self.use_token_embedding_type.isChecked(): command.extend( [ "--token-embedding-type", self.token_embedding_type.currentText().lower(), ] ) if self.keep_split.isChecked(): command.append("--keep-split") if self.kv_override_entries: for entry in self.kv_override_entries: override_string = entry.get_override_string( model_name=model_name, quant_type=quant_type, output_path=output_path, ) if override_string: command.extend(["--override-kv", override_string]) command.extend([input_path, output_path, quant_type]) # Add extra arguments if self.extra_arguments.text(): command.extend(self.extra_arguments.text().split()) logs_path = self.logs_input.text() ensure_directory(logs_path) timestamp = datetime.now().strftime("%Y%m%d_%H%M%S") log_file = os.path.join( logs_path, f"{model_name}_{timestamp}_{quant_type}.log" ) # Log quant command command_str = " ".join(command) self.logger.info(f"{QUANTIZATION_COMMAND}: {command_str}") thread = QuantizationThread(command, backend_path, log_file) self.quant_threads.append(thread) task_item = TaskListItem( QUANTIZING_MODEL_TO.format(model_name, quant_type), log_file ) list_item = QListWidgetItem(self.task_list) list_item.setSizeHint(task_item.sizeHint()) self.task_list.addItem(list_item) self.task_list.setItemWidget(list_item, task_item) tasks.append( (thread, task_item) ) # Add the thread and task_item to our list # Connect the output signal to the new progress parsing function thread.output_signal.connect( lambda line, ti=task_item: self.parse_progress(line, ti) ) thread.status_signal.connect(task_item.update_status) thread.finished_signal.connect( lambda t=thread, ti=task_item: self.task_finished(t, ti) ) thread.error_signal.connect( lambda err, ti=task_item: handle_error(self.logger, err, ti) ) thread.model_info_signal.connect(self.update_model_info) # Start all threads after setting them up for thread, _ in tasks: thread.start() self.logger.info(QUANTIZATION_TASK_STARTED.format(model_name)) except ValueError as e: show_error(self.logger, str(e)) except FileNotFoundError as e: show_error(self.logger, str(e)) except Exception as e: show_error(self.logger, ERROR_STARTING_QUANTIZATION.format(str(e))) def parse_progress(self, line, task_item) -> None: # Parses the output line for progress information and updates the task item. match = re.search(r"\[\s*(\d+)\s*/\s*(\d+)\s*\].*", line) if match: current = int(match.group(1)) total = int(match.group(2)) progress = int((current / total) * 100) task_item.update_progress(progress) def task_finished(self, thread, task_item) -> None: self.logger.info(TASK_FINISHED.format(thread.log_file)) if thread in self.quant_threads: self.quant_threads.remove(thread) task_item.update_status(COMPLETED) def show_task_details(self, item) -> None: self.logger.debug(SHOWING_TASK_DETAILS_FOR.format(item.text())) task_item = self.task_list.itemWidget(item) if task_item: log_dialog = QDialog(self) log_dialog.setWindowTitle(LOG_FOR.format(task_item.task_name)) log_dialog.setGeometry(200, 200, 800, 600) log_text = QPlainTextEdit() log_text.setReadOnly(True) layout = QVBoxLayout() layout.addWidget(log_text) log_dialog.setLayout(layout) # Load existing content if os.path.exists(task_item.log_file): with open_file_safe(task_item.log_file, "r") as f: log_text.setPlainText(f.read()) # Connect to the thread if it's still running for thread in self.quant_threads: if thread.log_file == task_item.log_file: thread.output_signal.connect(log_text.appendPlainText) break log_dialog.exec() def import_model(self) -> None: self.logger.info(IMPORTING_MODEL) file_path, _ = QFileDialog.getOpenFileName( self, SELECT_MODEL_TO_IMPORT, "", GGUF_FILES ) if file_path: file_name = os.path.basename(file_path) # Verify GGUF file if not self.verify_gguf(file_path): show_error(self.logger, INVALID_GGUF_FILE.format(file_name)) return reply = QMessageBox.question( self, CONFIRM_IMPORT, IMPORT_MODEL_CONFIRMATION.format(file_name), QMessageBox.StandardButton.Yes | QMessageBox.StandardButton.No, QMessageBox.StandardButton.No, ) if reply == QMessageBox.StandardButton.Yes: if not hasattr(self, "imported_models"): self.imported_models = [] self.imported_models.append(file_path) self.load_models() self.logger.info(MODEL_IMPORTED_SUCCESSFULLY.format(file_name)) def browse_imatrix_datafile(self) -> None: self.logger.info(BROWSING_FOR_IMATRIX_DATA_FILE) datafile, _ = QFileDialog.getOpenFileName(self, SELECT_DATA_FILE, "", ALL_FILES) if datafile: self.imatrix_datafile.setText(os.path.abspath(datafile)) def browse_imatrix_model(self) -> None: self.logger.info(BROWSING_FOR_IMATRIX_MODEL_FILE) model_file, _ = QFileDialog.getOpenFileName( self, SELECT_MODEL_FILE, "", GGUF_FILES ) if model_file: self.imatrix_model.setText(os.path.abspath(model_file)) def browse_imatrix_output(self) -> None: self.logger.info(BROWSING_FOR_IMATRIX_OUTPUT_FILE) output_file, _ = QFileDialog.getSaveFileName( self, SELECT_OUTPUT_FILE, "", DAT_FILES ) if output_file: self.imatrix_output.setText(os.path.abspath(output_file)) def generate_imatrix(self) -> None: self.logger.info(STARTING_IMATRIX_GENERATION) try: backend_path = self.backend_combo.currentData() if not os.path.exists(backend_path): raise FileNotFoundError(BACKEND_PATH_NOT_EXIST.format(backend_path)) # Check if the Model area is empty if not self.imatrix_model.text(): raise ValueError(MODEL_PATH_REQUIRED_FOR_IMATRIX) command = [ os.path.join(backend_path, "llama-imatrix"), "-f", self.imatrix_datafile.text(), "-m", self.imatrix_model.text(), "-o", self.imatrix_output.text(), "--output-frequency", str(self.imatrix_frequency.value()), "--ctx-size", str(self.imatrix_ctx_size.value()), "--threads", str(self.threads_spinbox.value()), ] if self.gpu_offload_auto.isChecked(): command.extend(["-ngl", "99"]) elif self.gpu_offload_spinbox.value() > 0: command.extend(["-ngl", str(self.gpu_offload_spinbox.value())]) timestamp = datetime.now().strftime("%Y%m%d_%H%M%S") log_file = os.path.join(self.logs_input.text(), f"imatrix_{timestamp}.log") # Log command command_str = " ".join(command) self.logger.info(f"{IMATRIX_GENERATION_COMMAND}: {command_str}") thread = QuantizationThread(command, backend_path, log_file) self.quant_threads.append(thread) task_name = GENERATING_IMATRIX_FOR.format( os.path.basename(self.imatrix_model.text()) ) task_item = TaskListItem(task_name, log_file, show_progress_bar=False) list_item = QListWidgetItem(self.task_list) list_item.setSizeHint(task_item.sizeHint()) self.task_list.addItem(list_item) self.task_list.setItemWidget(list_item, task_item) thread.status_signal.connect(task_item.update_status) thread.finished_signal.connect(lambda: self.task_finished(thread)) thread.error_signal.connect( lambda err: handle_error(self.logger, err, task_item) ) thread.start() except Exception as e: show_error(self.logger, ERROR_STARTING_IMATRIX_GENERATION.format(str(e))) self.logger.info(IMATRIX_GENERATION_TASK_STARTED) def closeEvent(self, event: QCloseEvent) -> None: self.logger.info(APPLICATION_CLOSING) if self.quant_threads: reply = QMessageBox.question( self, WARNING, TASK_RUNNING_WARNING, QMessageBox.StandardButton.Yes | QMessageBox.StandardButton.No, QMessageBox.StandardButton.No, ) if reply == QMessageBox.StandardButton.Yes: for thread in self.quant_threads: thread.terminate() event.accept() else: event.ignore() else: event.accept() self.logger.info(APPLICATION_CLOSED)