metadata
title: SGLabs
emoji: 🐜
colorFrom: purple
colorTo: blue
sdk: static
pinned: false
SGLabs
An independent open-model lab — capable AI on the hardware you actually own.
SGLabs builds and shares open-model work, from efficient inference to tooling and the occasional experiment that earns its keep. The throughline: capable AI shouldn't require a datacenter. We build for consumer and unified-memory hardware (AMD, Apple Silicon, and friends), work in the open, and ship reproducible recipes — not just weights.
What we're working on
- Pym — our quantization line: aggressive, calibrated mixed-precision GGUFs that shrink large models to a fraction of their size while keeping their edge (and their speed). See the Pym collection below.
- More on the way — inference tooling, agent experiments, and whatever else is worth building. Watch this space.
How we work
- Honest benchmarks — quality and speed, with the noise flagged rather than hidden.
- Reproducible — every release ships its method, so you can rebuild it.
- Runs-anywhere — if it fits in unified memory, it should run.
Credits
Our Pym quants were inspired by EschaLabs' Escha W2, built independently in that same spirit. 🎩
Maintained by @syntaxgeek.