multimind-sdk/dist/modelConversion.d.ts

This SDK gives JavaScript/TypeScript developers full access to advanced AI features like agent orchestration, RAG, and fine-tuning — without needing to manage backend code.

export interface ConversionConfig {
    inputPath: string;
    outputPath: string;
    inputFormat: 'pytorch' | 'tensorflow' | 'onnx' | 'gguf' | 'tflite' | 'safetensors';
    outputFormat: 'pytorch' | 'tensorflow' | 'onnx' | 'gguf' | 'tflite' | 'safetensors';
    modelType?: string;
    quantization?: QuantizationConfig;
    pruning?: PruningConfig;
    graphOptimization?: GraphOptimizationConfig;
    validation?: boolean;
}
export interface QuantizationConfig {
    method: 'int8' | 'int16' | 'fp16' | 'dynamic' | 'static';
    calibrationData?: string;
    targetDevice?: 'cpu' | 'gpu' | 'mobile';
}
export interface PruningConfig {
    method: 'magnitude' | 'structured' | 'unstructured';
    sparsity: number;
    targetLayers?: string[];
}
export interface GraphOptimizationConfig {
    fuseOperations: boolean;
    removeUnusedNodes: boolean;
    optimizeMemory: boolean;
}
export declare class ModelConverter {
    private converters;
    initialize(): Promise<{
        success: boolean;
        message: string;
    }>;
    convert(config: ConversionConfig): Promise<{
        success: boolean;
        message: string;
        outputPath: string;
        model: any;
    }>;
    private applyQuantization;
    private applyPruning;
    private applyGraphOptimization;
    validateModel(modelPath: string, format: string): Promise<any>;
    getModelInfo(modelPath: string, format: string): Promise<any>;
    batchConvert(configs: ConversionConfig[]): Promise<{
        success: boolean;
        message: string;
        outputPath: string;
        model: any;
    }[]>;
}
export declare function pytorchToONNX(inputPath: string, outputPath: string, config?: Partial<ConversionConfig>): Promise<{
    success: boolean;
    message: string;
    outputPath: string;
    model: any;
}>;
export declare function tensorflowToTFLite(inputPath: string, outputPath: string, config?: Partial<ConversionConfig>): Promise<{
    success: boolean;
    message: string;
    outputPath: string;
    model: any;
}>;
export declare function pytorchToGGUF(inputPath: string, outputPath: string, config?: Partial<ConversionConfig>): Promise<{
    success: boolean;
    message: string;
    outputPath: string;
    model: any;
}>;
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