{
    "model": {
        "editPrompt": "Edit Prompt",
        "docKnowledgeAbstractPrompt": "Document Knowledge Base Abstract Prompt",
        "docKnowledgeAbstractPromptTooltip": "When uploading files to the document knowledge base, the prompt used for summarizing the file",
        "editPromptButton": "Edit Prompt",
        "cancelEdit": "Cancel Edit",
        "confirmCancelEdit": "Your changes have not been saved. Are you sure you want to exit?",
        "promptSaved": "Prompt saved successfully",
        "workVectorModel": "Workbench Vector Model",
        "workVectorModelTooltip": "Used for $t(bs:linsight) task execution scenarios",
        "lingsiTaskModel": "$t(bs:linsight) Task Model",
        "lingsiTaskModelTooltip": "It is recommended to use the most powerful model to achieve the best task execution results ",
        "executionModeTooltip": "Generally, you can choose function call mode. If the model does not support function call or you are pursuing the best task execution effect, you can choose ReAct mode",
        "selectExecutionMode": "Select execution mode",
        "functionCall": "Function Call",
        "react": "ReAct",
        "workbenchVoiceModel": "Workbench Voice Model",
        "asrModel": "Speech-to-Text (ASR) Model",
        "asrModelTooltip": "Used for workbench/application speech-to-text scenarios",
        "ttsModel": "Text-to-Speech (TTS) Model",
        "ttsModelTooltip": "Used for workbench/application text-to-speech scenarios",
        "saveFailed": "Save failed, please try again!",
        "fetchConfigFailed": "Failed to get configuration, please refresh the page and try again!",
        "tip": "Tip",
        "confirmEmbeddingChange": "Modifying the embedding model may consume a lot of model resources and take a long time. Confirm modification?",
        "confirm": "Confirm",
        "duplicateServiceProviderName": "Service provider name cannot be duplicated",
        "duplicateServiceProviderNameValidation": "The service provider name cannot be empty and can be up to 100 characters long",
        "modelNameValidation": "Name required, max 100 chars",
        "modelDuplicate": "Cannot duplicate",
        "addSuccess": "Added",
        "updateSuccess": "Updated",
        "deleteConfirmation": "Deleting may affect existing apps or KB. Confirm?",
        "deleteSuccess": "Deleted",
        "addModel": "Add Model",
        "modelConfiguration": "Config",
        "serviceProvider": "Provider",
        "serviceProviderName": "Provider Name",
        "serviceProviderNameTooltip": "Custom name for distinguishing instances",
        "dailyCallLimit": "Daily Limit",
        "interModelFormat": "Inter Model Format",
        "timesPerDay": "times/day",
        "model": "Model",
        "delete": "Delete",
        "cancel": "Cancel",
        "save": "Save",
        "back": "Back",
        "modelNameEmpty": "Name required",
        "modelNameLength": "Max 100 chars",
        "modelNameDuplicate": "Cannot duplicate",
        "deleteModelConfirmation": "Deleting may affect existing apps or Knowledge Base. Confirm?",
        "modelName": "Model Name",
        "modelNameTooltip": "Name for local deployment or API request",
        "modelType": "Type",
        "webSearch": "Online Search",
        "systemModelSettings": "System Settings",
        "knowledgeBaseModel": "Knowledge",
        "workModel": "work",
        "executionMode": "execution mode",
        "assistantModel": "Assistant",
        "evaluationModel": "Eval",
        "workflowModel": "Workflow",
        "defaultEmbeddingModel": "Default Embedding for Knowledge Base",
        "sourceTracingModel": "Source Tracing for Knowledge Base",
        "sourceTracingModelTooltip": "Auto-extract keywords for source tracing. Uses jieba if not configured.",
        "documentSummaryModel": "Doc Summary for Knowledge Base",
        "documentSummaryModelTooltip": "Summarizes content into title for vector DB. Not summarized if not configured.",
        "qaSimilarModel": "QA Similar Model",
        "qaSimilarModelTooltip": "Generates similar questions for QA Knowledge Base.",
        "saveSuccess": "Saved",
        "modelsAndRAGNodes": "models and RAG nodes",
        "assistantInferenceModel": "Inference Model",
        "assistantInferenceModelRepetition": "Assistant Reasoning Model Repetition",
        "assistantExecutionMode": "Execution Mode",
        "assistantExecutionModeTooltip": "Use function call mode if supported by model",
        "streamingOutput": "Streaming",
        "assistantKnowledgeBaseMaxCharacters": "Knowledge Base Max Chars",
        "assistantKnowledgeBaseMaxCharactersTooltip": "Max chars for model, truncate if exceeds",
        "reorderAfterRetrieval": "Reorder",
        "reorderAfterRetrievalTooltip": "Whether to reorder the retrieved chunks, it is recommended to enable the single document Q & A scenario.",
        "setAsDefault": "Default",
        "assistantAutoOptimizationModel": "Auto Optimization",
        "yes": "Yes",
        "no": "No",
        "selectModel": "Select",
        "defaultEvaluationFeature": "Default Eval Model",
        "machineName": "Machine Name",
        "gpuNumber": "GPU Number",
        "gpuID": "GPU ID",
        "totalMemory": "Total Memory",
        "freeMemory": "Free Memory",
        "gpuUtilization": "GPU Utilization",
        "notBeEmpty": "cannot be empty"
    },
    "finetune": {
        "rtServiceManagement": "FT Service Management",
        "machineName": "Machine Name",
        "serviceAddress": "Service Address",
        "createTrainingTask": "Create Training Task",
        "rtService": "RT Service",
        "gpuResourceUsage": "GPU Usage",
        "rtServiceTooltip": "Select the RT service for the base model. The Finetune model will also be deployed here.",
        "baseModel": "Base Model",
        "finetuneModelName": "Finetune Model Name",
        "dataset": "Dataset",
        "uploadDataset": "Upload Dataset",
        "downloadSampleFile": "Download Sample File",
        "customSampleSize": "Custom Sample Size (Optional)",
        "customSampleSizeTooltip1": "Optional:",
        "customSampleSizeTooltip2": "If not selected, all samples from the chosen and preset datasets will be used.",
        "customSampleSizeTooltip3": "If selected, specify the sample count for each dataset. Leave blank or exceed the total sample count to use all samples.",
        "presetDatasets": "Preset Datasets",
        "userDatasets": "User Datasets",
        "download": "Download",
        "sampleSize": "Sample Size",
        "noData": "No Data",
        "trainingMethod": "Training Method",
        "fullFineTune": "Full Fine-tune",
        "freeze": "Freeze",
        "lora": "LoRA",
        "parameterConfiguration": "Parameter Configuration",
        "parameterConfigurationTooltip": "Refer to the product documentation for suggestions and reference data.",
        "parameter": "Parameter",
        "quantity": "Quantity",
        "description": "Description",
        "gpuDesc": "GPU IDs for training, separated by commas, e.g., 0,1,2,3",
        "valRatioDesc": "Validation set ratio. If greater than 0, loss will be calculated after each epoch.",
        "batchSizeDesc": "Batch size for each training iteration. Larger sizes speed up training but use more memory.",
        "learningRateDesc": "Learning rate for updating weights. Too high slows convergence, too low slows training.",
        "numEpochsDesc": "Epochs control the number of iterations. Increase if the loss is still decreasing.",
        "maxSeqLenDesc": "Max sequence length (default 8192). Input + output length should not exceed this.",
        "cpuLoadDesc": "Load some parameters and optimizers to CPU to save GPU memory. Refer to documentation for details.",
        "selectRTService": "Select RT Service",
        "selectBaseModel": "Select Base Model",
        "enterModelName": "Model name must contain at least one letter and consist of numbers, letters, and underscores.",
        "taskId": "Task ID",
        "runtime": "Runtime",
        "creator": "Creator",
        "cancelPublish": "Cancel Publish",
        "formatTime": "hh hours mm minutes ss seconds",
        "publish": "Publish",
        "stop": "Stop",
        "confirmCancelPublish": "This model is online. Confirm to cancel publishing?",
        "confirmDeleteModel": "Confirm to delete model {{name}}?",
        "confirmDeleteOnlineModel": "Model is online. Confirm to delete {{name}}?",
        "confirmDeletePublishedModel": "Model is published. Confirm to delete {{name}}?",
        "confirmStopTraining": "Confirm to stop training?",
        "evaluationReport": "Evaluation Report",
        "trainingLogs": "Training Logs"
    }
}