← 최신 프로덕트

Cactus Hybrid

We taught Gemma 4 to know when it's wrong. On-device models that know when they're wrong: every answer carries a confidence score for cloud handoff. A small, on-device model is fast and private, but sometimes wrong, but frontier models are getting expensive pretty fast.

오픈소스

271 스타 · GitHub외부 사이트

github.com 방문외부 사이트

반응 (1)

비슷한 프로덕트

설명이 비슷한 순

  1. Cactus (YC S25)

    github.com

    AI inference on smartphones

    Hacker News231점

  2. ChonkLM

    chonklm.com

    Tiny language models running offline in the browser

    Hacker News6점

  3. General Instinct (YC P26)

    general-instinct.com

    Frontier models on edge devices

    Hacker News63점

  4. Bonsai 1.7B ternary model at 442T/s on M4 Max

    agents2agents.ai

    A drop-in optimized inference build of Bonsai 1.7B for Apple Silicon. ~42% faster decode (tg128) and ~9% faster prefill (pp512) on M-series GPUs. All Metal kernels written and tuned by ata, our autonomous engineering agent.

    Hacker News13점

  5. I benchmarked Gemma 4 E2B

    aiexplr.com

    the 2B model beat the 12B on multi-turn

    Hacker News8점