README.md

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title: SoftBacon Software
emoji: 🥓
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# SoftBacon Software

A small independent lab working on **locally-owned AI**: models that run on
hardware you own, measured honestly, with the measurement published alongside
the weights.

Everything here is produced on three machines, by one person and a squad of
local agents that live on them:

- an **Apple M5 Max** — where the models we build and serve actually run;
- a single **RTX 3090** — the second inference box, reached over a private network;
- a **Jetson Orin Nano** (8 GB, ARM) — always on, running the coordination
  substrate the agents share: their memory, their tasks, their messages to each
  other. It serves no model. It is the part that makes them a crew rather than
  a set of processes.

No rented GPUs are in that list. Anything trained on borrowed hardware will say
so on its own card.

## What we publish

**Quantizations with a measured ladder.** Not a single "best" build, but the
whole series with its losses and its speeds, including the rungs that lost. A
ladder with the bad rungs removed is marketing, not measurement.

**Adapters**, with the corpus and the gate that admitted them.

**The harness**, so a row in our tables can be reproduced rather than trusted.
Build scripts and benchmark invocations live at
[github.com/SoftBacon-Software](https://github.com/SoftBacon-Software).

## How we report numbers

- Accuracy on standard suites — HumanEval / HumanEval+, Aider-Polyglot,
  held-out loss — never an internal metric quoted alone.
- Speed on two separate axes, because they answer different questions:
  plain autoregressive decode, and the speculative path.
- Every table carries its **regime stamp**: the harness commit, the server
  settings, and `n`. A number measured under a different regime is a different
  number, and we will not put the two in one table.
- Negative results are published. A build that loses on both axes is a row,
  not a deletion.

## Status

**First release, 2026-08-24:** a controlled pair of 4-bit MLX quantizations of
Laguna XS 2.1 —
[Laguna-XS-2.1-sbQ-cal-4bit](https://huggingface.co/SoftBacon-Software/Laguna-XS-2.1-sbQ-cal-4bit)
(imatrix calibrated on our own agent-squad traces; the build our lab serves)
and
[Laguna-XS-2.1-sbQ-4bit](https://huggingface.co/SoftBacon-Software/Laguna-XS-2.1-sbQ-4bit)
(its generic-calibration control). Same tool, same commit, same bits — the
comparison is the finding: **calibration shifts behaviour and speed at equal
perplexity.** The full measurement regime and the field note are at
[mycelium.fyi](https://mycelium.fyi).

`sbQ` marks SoftBacon builds — unrelated to poolside releases and to
community `oQ`-series quants. Further rungs appear when they have been
measured, and not before.