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On-Device Foundation Models

foundation-models-on-device

affaan-m/everything-claude-code

Integrates Apple's FoundationModels into iOS apps so developers can run on-device LLMs for text generation, guided structured outputs via @Generable, custom tool calls, and snapshot streaming without leaving the device.

Llama cpp CPU Inference

Orchestra-Research/AI-Research-SKILLs

Deploy llama.cpp to run LLM inference across CPUs, Apple Silicon, and non-NVIDIA GPUs, making it ideal for edge devices or CUDA-free setups with GGUF quantization for faster, lower-memory results.

LLM Model Pruning

Orchestra-Research/AI-Research-SKILLs

Model Pruning skill applies Wanda, SparseGPT, structured, unstructured, and N:M sparsity to trim LLMs by around 50% and boost inference on accelerators or edge devices without retraining.

PyTorch Training Patterns

pytorch-patterns

affaan-m/everything-claude-code

Provides PyTorch idioms and best practices for building reproducible, efficient training loops, model modules, and data pipelines across devices.

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