Changelog

This page tracks release notes and version history for the ZETIC Melange SDK and platform.

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1.9.1

ZeticMLange Flutter 1.9.1 aligns the RAG API with Android and iOS by moving RAG generation to RagPipeline.

What Changed

• Added Flutter RagPipeline as the public RAG generation entry point.
• Removed model-level Flutter RAG helper methods from ZeticMLangeLLMModel.
• Updated Flutter RAG documentation and examples to the composition-based API.

Install

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1.9.0

ZeticMLange 1.9.0 expands on-device AI across Android, iOS, and Flutter with vision-language support, function calling, RAG, and stronger runtime reliability.

What Changed

• LFM-VL support for local image + text vision-language models on Android, iOS, and Flutter.
• Function calling APIs for connecting model output to app-defined tools.
• RAG APIs for retrieval and context-grounded generation workflows.
• KV state persistence on native Android and iOS for save, load, and reset flows.
• More reliable model loading and inference through backend selection caching, lifecycle cleanup, native handle ownership, and Flutter image-copy improvements.

Install

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Earlier 2025 Updates

LLM Inference Engine

• Added support for google/gemma-3-4b-it.
• Added support for LiquidAI/LFM2.5-1.2B-Instruct.
• KV cache cleanup policy configuration with LLMKVCacheCleanupPolicy.
• Download progress callback support.
• Speed inference mode with LLMModelMode.RUN_SPEED.

Hugging Face Integration

• ZeticMLangeHFModel for loading models directly from Hugging Face.
• Automatic download, compilation, and caching.

General SDK

• PyTorch Exported Program (.pt2) support.
• Inference mode selection with RUN_AUTO, RUN_SPEED, and RUN_ACCURACY.
• Performance-adaptive deployment across real devices.
• Docs site migration to docs.zetic.ai.

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SDK Repositories