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Gemma 4 Multimodal Fine-Tuner for Apple Silicon

Fine-tune Gemma 4 and 3n with audio, images and text on Apple Silicon, using PyTorch and Metal Performance Shaders. About six months ago, I started working on a project to fine-tune Whisper locally on my M2 Ultra Mac Studio with a limited compute budget.

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  1. Open-source engine running Gemma 4 26B in 2 GB RAM on any M-series Mac

    github.com

    Gemma 4 26B-A4B inference in ~2 GB of RAM on any M-series MacBook

    Hacker News919점

  2. Gemma Gem

    github.com

    AI model embedded in a browser – no API keys, no cloud

    Hacker News156점

  3. The fastest way to run Mixtral 8x7B on Apple Silicon Macs

    news.ycombinator.com

    I’d originally launched my app: Private LLM[1][2] on HN around 10 months ago, with a single RedPajama Chat 3B model.

    Hacker News18점

  4. Running Gemma-4 26B at 124 tokens/SEC on a CPU

    apeg.dev

    no GPU

    Hacker News10점

  5. Fine-tune an 8B model on a 4 GB laptop GPU

    github.com

    Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.

    Hacker News139점