Open-source engine running Gemma 4 26B in 2 GB RAM on any M-series Mac
Gemma 4 26B-A4B inference in ~2 GB of RAM on any M-series MacBook. It is called TurboFieldfare and is written in Swift and Metal.
데스크톱오픈소스
반응 (1)
비슷한 프로덕트
설명이 비슷한 순
no GPU
Gemma Gem
github.comAI model embedded in a browser – no API keys, no cloud
and a 35B on an iPhone
Fine-tune Gemma 4 and 3n with audio, images and text on Apple Silicon, using PyTorch and Metal Performance Shaders.
Run a 105 GB AI model on a Mac that can't hold it. Qwen3.8-Flash-Next 4-bit, streamed from SSD on 16–64 GB Apple Silicon Macs. Fully native Swift, MLX and Metal. Offline, no Python. CLI, Swift library, and Ollama/OpenAI/Anthropic APIs. Works with Claude Code and Codex.