Apple MLX on-device
Shares tags: deploy, self-hosted, mobile/device
Seamlessly deploy quantized LLMs across iOS, Android, and WebGPU for efficient offline inference.
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overview
MLC LLM is a comprehensive compiler stack designed to bring large language models to various operating systems and devices. It empowers developers and researchers to harness the capabilities of quantized LLMs for offline inference, enabling powerful AI applications on mobile and edge devices.
features
MLC LLM is packed with features that streamline model deployment and enhance performance. By incorporating system-level optimizations and modular APIs, it simplifies the integration process for developers and researchers alike.
use_cases
Whether you're a researcher needing custom model deployment or a developer seeking to integrate powerful AI capabilities into your applications, MLC LLM offers flexible solutions for various use cases. Experience the ease of leveraging AI on any device without the need for cloud services.
MLC LLM supports a wide array of platforms including iOS, Android, WebGPU, and various consumer GPUs, ensuring broad compatibility.
Yes! MLC LLM allows for easy fine-tuning of open-source models, letting you share personalized weights without extensive recompilation.
Absolutely! MLC LLM is designed with highly permissive licensing, making it suitable for both research and commercial applications.