README.md

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title: SGLabs
emoji: 🐜
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colorTo: blue
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# 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](https://huggingface.co/EschaLabs)' *Escha W2*, built independently in that same spirit. 🎩

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Maintained by [@syntaxgeek](https://huggingface.co/syntaxgeek).