flutter_gemma_mobile library

Classes

DownloadProgress: Progress information for model downloads
EmbeddingModelFile: Model file for embedding models (.bin files)
EmbeddingModelSpec: Specification for embedding models (model.bin + tokenizer.json)
EmbeddingTokenizerFile: Tokenizer file for embedding models (.json files)
FlutterGemmaMobile
InferenceModelFile: Model file for inference models (.bin, .task files)
InferenceModelSpec: Specification for inference models (main model + optional LoRA)
LoraModelFile: Model file for LoRA weights
MobileModelManager: Main unified model manager that orchestrates all model operations
ModelFile: Represents a single file that belongs to a model
ModelFileSystemManager: Unified file system operations for model management (Mobile only)
ModelSpec: Base specification for any model (inference or embedding)
OrphanedFileInfo: Information about a potentially orphaned file
ResumeChecker: Smart resume detection utility
ResumeRecommendation: Resume recommendation for a specific file
StorageStats: Storage statistics
SttModelFile: Model file for STT models (.tflite files)
SttModelSpec: Specification for STT models (model.tflite + tokenizer.json).
SttTokenizerFile: Tokenizer file for STT models (tokenizer.json)

ModelManagementType: Base enumeration for different model management types
ModelReplacePolicy: Policy for what happens to a previously-installed model when a new one is set active. Lives with the spec value types (it's a per-spec install policy); re-exported from model_file_manager_interface.dart for backward compat.
ResumeAction: Recommended action based on resume status
ResumeStatus: Status of resume possibility for a file
SttModelType: Speech-to-text model families supported by the pluggable STT backends. Only moonshine has a shipped SttModelProfile/pipeline (flutter_gemma_speech); the others are follow-ons that need a log-mel frontend.