mlx_localllm 0.2.1
mlx_localllm: ^0.2.1 copied to clipboard
A high-performance local LLM plugin for macOS using Apple's MLX framework.
mlx_localllm #
English #
A Flutter plugin for high-performance localized LLM inference on macOS using Apple's MLX framework. It provides zero-latency interaction by loading models directly into the application process.
Features #
- 🚀 Native Acceleration: Built on MLX for optimal performance on Apple Silicon.
- 📦 In-Process: No external dependencies like Ollama required.
- 🌐 Robust Downloader: Built-in support for HuggingFace and mirrors (hf-mirror.com) with resilient progress reporting.
- 🛠️ Easy Integration: Comprehensive API for model management and inference.
Requirements #
- iOS: 17.0 or higher.
- macOS: 14.0 or higher.
- Hardware: Apple Silicon (M1, M2, M3, iPhone 12+, etc.).
- Flutter: 3.0.0 or higher.
Installation #
-
Add the dependency to your
pubspec.yaml:flutter pub add mlx_localllm -
Platform Setup:
- macOS/iOS: The plugin uses Swift Package Manager (SPM) to manage MLX dependencies. Flutter (3.24+) will automatically resolve these dependencies.
- Real Device Required: MLX requires Metal GPU support, so inference only works on physical Apple Silicon devices (M1, M2, iPhone 12+, etc.), not in simulators.
Usage #
Check Support
bool supported = await MlxLocalllm.isSupported();
Download Model
MlxLocalllm.modelManager.downloadModel('mlx-community/Qwen2.5-0.5B-Instruct-4bit')
.listen((progress) {
print('Download progress: ${progress.progress * 100}%');
});
Run Inference
await MlxLocalllm.inferenceEngine.loadModel('mlx-community/Qwen2.5-0.5B-Instruct-4bit');
String response = await MlxLocalllm.inferenceEngine.generate('Hello, who are you?');
print(response);
简体中文 #
基于 Apple MLX 框架的 macOS 高性能本地大模型推理 Flutter 插件。通过将模型直接加载到应用进程中,提供零延迟的交互体验。
特性 #
- 🚀 原生加速: 基于 MLX 针对 Apple Silicon 深度优化。
- 📦 进程内推理: 无需安装 Ollama 等外部服务,集成度高。
- 🌐 鲁棒下载器: 内置对 HuggingFace 及其镜像站(如 hf-mirror.com)的支持,优化了进度上报稳定性。
- 🛠️ 全功能 API: 提供完整的模型下载、删除、状态检查库及推理引擎。
系统要求 #
- iOS: 17.0 及以上。
- 系统: macOS 14.0 及以上。
- 硬件: Apple Silicon 系列芯片 (M1, M2, iPhne 15 Pro 等)。
- Flutter: 3.0.0 及以上。
安装指南 #
-
在
pubspec.yaml中添加依赖:flutter pub add mlx_localllm -
平台配置:
- macOS/iOS: 插件使用 Swift Package Manager (SPM) 管理 MLX 依赖。Flutter (3.24+) 会自动处理这些依赖。
- 必须使用真机: MLX 需要 Metal GPU 加持,推理功能仅在物理设备(M1、M2、iPhone 12+ 等)上运行,不支持模拟器。
快速开始 #
硬件支持检测
bool supported = await MlxLocalllm.isSupported();
模型下载
MlxLocalllm.modelManager.downloadModel('mlx-community/Qwen2.5-0.5B-Instruct-4bit')
.listen((progress) {
print('下载进度: ${progress.progress * 100}%');
});
执行推理
await MlxLocalllm.inferenceEngine.loadModel('mlx-community/Qwen2.5-0.5B-Instruct-4bit');
String response = await MlxLocalllm.inferenceEngine.generate('你好,请做下自我介绍');
print(response);
许可证 #
MIT License.