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LocalLLMClient: A Swift Package for Local LLMs Using llama.cpp and MLX
- LocalLLMClient is a Swift package that enables the use of local Large Language Models (LLMs) on Apple platforms.
- It supports models like MobileVLM-3B (llama.cpp) and Qwen2.5 VL 3B (MLX) for iOS and macOS.
- Features of LocalLLMClient include GGUF / MLX model support, iOS and macOS compatibility, streaming API, and experimental multimodal support.
- The library leverages llama.cpp and Apple MLX backends with a unified interface, allowing interactions with LLMs.
- Basic usage involves importing the necessary components, downloading models from Hugging Face, and generating text using specified parameters.
- Text generation examples demonstrate creating stories with a cat protagonist and generating song lyrics from image inputs.
- Additional features in LocalLLMClientUtility like FileDownloader offer functionalities for managing model downloads efficiently.
- The project emphasizes on-device processing for privacy and cost-effectiveness, thanking the community for supporting local LLM development.
- Overall, LocalLLMClient aims to provide a convenient option for Swift developers wanting to experiment with AI on Apple platforms.
- Supporting the project through contributions or stars on GitHub is encouraged.
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