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Add one-click local AI implementation roadmap - #6

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Add one-click local AI implementation roadmap#6
rpatel622 wants to merge 1 commit into
mainfrom
agent/one-click-local-ai-roadmap

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What changed

  • Added a concrete roadmap for automatic llama.cpp runtime installation, Hugging Face GGUF search, model downloads, managed server startup, first-run setup, and recovery.
  • Adopted accessibility-first defaults:
    • --cache-type-k q8_0
    • --cache-type-v q4_0
    • --parallel 1
    • --n-gpu-layers all
  • Prefer official Vulkan builds on Windows and Linux where supported, with CPU fallback.
  • Use official macOS builds with Metal rather than Vulkan.
  • Added fallback order for insufficient VRAM and unsupported quantized KV cache.
  • Defined acceptance criteria and a six-PR implementation sequence.

Why

The repository currently makes the proxy easier to configure, but users still need to install and operate a model server and find a compatible GGUF. This roadmap moves those tasks into the application and targets a terminal-free first run.

External interfaces reviewed

  • Current llama.cpp releases provide official Vulkan assets for Windows and Linux and native macOS assets.
  • llama-server supports quantized K/V cache types, --parallel, and GPU-layer offload.
  • Hugging Face supports model search and filtering through huggingface_hub.HfApi and the Hub API.

Issues are disabled in this repository, so this plan is proposed as a versioned documentation PR instead.

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