e0dbec0bc6
* llama : refactor llama_context, llama_kv_cache, llm_build_context ggml-ci * graph : don't mutate the KV cache during defrag ggml-ci * context : reduce virtuals + remove test function ggml-ci * context : move interface implementation to source file + factory ggml-ci * graph : move KV cache build functions to llama_context impl ggml-ci * graph : remove model reference from build_pooling ggml-ci * graph : remove llama_model reference ggml-ci * kv_cache : provide rope factors ggml-ci * graph : rework inputs to use only unique_ptr, remove attn input abstraction ggml-ci * context : remove llama_context_i abstraction ggml-ci * context : clean-up ggml-ci * graph : clean-up ggml-ci * llama : remove redundant keywords (struct, enum) ggml-ci * model : adapt gemma3 ggml-ci * graph : restore same attention ops as on master ggml-ci * llama : remove TODO + fix indent ggml-ci
llama.cpp/examples/llama.swiftui
Local inference of llama.cpp on an iPhone. This is a sample app that can be used as a starting point for more advanced projects.
For usage instructions and performance stats, check the following discussion: https://github.com/ggml-org/llama.cpp/discussions/4508
Building
First llama.cpp need to be built and a XCFramework needs to be created. This can be done by running the following script from the llama.cpp project root:
$ ./build-xcframework.sh
Open llama.swiftui.xcodeproj project in Xcode and you should be able to build and run the app on
a simulator or a real device.
To use the framework with a different project, the XCFramework can be added to the project by
adding build-apple/llama.xcframework by dragging and dropping it into the project navigator, or
by manually selecting the framework in the "Frameworks, Libraries, and Embedded Content" section
of the project settings.
Video demonstration:
https://github.com/bachittle/llama.cpp/assets/39804642/e290827a-4edb-4093-9642-2a5e399ec545