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lukifer23/README.md

Lukifer23 — On-Device AI, Apple-Silicon First

I build privacy-first, on-device AI for Apple Silicon and Android — local LLM chat (IRISStar), a low-latency Mac voice assistant (MacBot), chess engines that play and teach (Matrix0, GemmaFischer), and a high-fidelity PNG→SVG tool (svg-X).

  • Focus: Apple Silicon (M-series) & Snapdragon • local LLMs • realtime voice • chess engines • vectorization
  • Philosophy: Results > rhetoric. If it’s not measurable, it’s not done.

Now

  • Finalizing GemmaFischer: LoRA adapters on HF + tutor-mode evaluations + transcript examples
  • Next up: IRISStar (packaging, device matrix) → MacBot (demos, latency table) → Matrix0 (checkpoint, Elo ladder)

I’ll add numbers and binaries here after they’re published in each repo’s Releases.


Selected Work (with status)

Legend: 🚀 available • 🛠️ active update • 🔬 research/prototype

  • 🚀 svg-X — PNG→SVG with quantization + curve fitting (desktop/CLI).
    Cross-platform app; releases available in the repo.

  • 🛠️ GemmaFischer — MoE chess LLM (UCI + tutor mode).
    Linking LoRA adapters on HF and adding a small eval harness + tutor transcripts.

  • 🛠️ IRISStar — Android offline LLM client (GGUF) tuned for Snapdragon/Apple GPU backends.
    Packaging and a concise device/perf matrix are in progress.

  • 🛠️ MacBot — local VAD → Whisper v3 → LLM → TTS with a live dashboard (macOS).
    Short demo clips and a simple latency table are coming alongside a pre-alpha app bundle.

  • 🛠️ Matrix0 — self-play chess engine with SSL heads and a web UI.
    Publishing a small checkpoint and a provisional Elo ladder vs a fixed baseline.

  • 🔬 FusterCluck — compact text-only LLM training pipeline for Apple Silicon.
    Early-stage; staged curriculum and tooling are public.


How I work

  • On-device first: privacy by default; minimal dependencies; clear fallbacks.
  • Reproducible setups: pinned configs and end-to-end quickstarts.
  • Evidence over adjectives: when a metric or binary exists, it appears in the repo’s Releases and /results.

Where to find releases

  • Each project publishes artifacts in its own repo under Releases when ready.
  • I’ll surface notable numbers (latency, tokens/s, Elo, size deltas) here once they’re live.

Contact

  • X / email / website: add your links here
  • Issues and PRs welcome.

Pinned Loading

  1. IRISStar IRISStar Public

    Forked from nerve-sparks/iris_android

    IRISStar is an android app for interfacing with GGUF / llama.cpp models locally.

    Kotlin 1

  2. svg-X svg-X Public

    convert images to SVG, multi-platform

    TypeScript 1

  3. Matrix0 Matrix0 Public

    Matrix0: AlphaZero-style chess engine with SSL integration for tactical pattern recognition (threats, pins, forks, control), multi-task RL training on ResNet-24 architecture, Apple Silicon MPS opti…

    Python 1

  4. GemmaFischer GemmaFischer Public

    GemmaFischer: Fine-tuned Gemma-3 LLM as a UCI-compatible chess engine and interactive tutor, featuring MoE routing for multi-mode AI (moves, explanations, Q&A) and optimized for Apple Silicon.

    Python 2

  5. MacBot MacBot Public

    MacBot: pre-release offline AI voice assistant for macOS, featuring an interruptible 5-model pipeline (VAD + Whisper STT + LLM + Neural TTS) with Metal acceleration, native tool integrations, secur…

    Python 1

  6. FusterCluck FusterCluck Public

    FusterCluck-200: Apple Silicon–tuned, 200M-parameter text-only LLM pipeline with 9,216 context. Bootstrap→Pretrain→SFT curriculum, optimized for M3 Pro.

    Python 1

0