Metrik

The AI systems engineering platform. Measure, trace, and optimize transformer models.

$ uv tool install metrik-ai        # or: pip install metrik-ai
$ metrik explore ./models/SmolLM2-135M

Every claim Metrik makes traces back to the inputs that produced it. Numbers are labelled analytic, measured, or declared, and anything that could not be determined is named with a reason rather than estimated.

What works today

Command	What it does
`metrik explore <model>`	Architecture, parameters, and memory — no forward pass, no torch
`metrik viz <artifact>`	Charts in the terminal, or one self-contained HTML file
`metrik store`	Content-addressed artifacts, with full lineage
`metrik runs`	What ran, including what failed
`metrik bench --check`	What isolation this machine has — and what it will refuse to run

metrik explore reads safetensors headers and config.json. It installs and runs on a laptop with no ML stack at all, in about two seconds for a 270 MB model.

For an observed module tree — real module classes, weight tying by storage identity — install the extra:

$ uv tool install "metrik-ai[torch]"
$ metrik explore ./models/SmolLM2-135M --loader torch

What does not work yet

Profiling, optimization, and benchmark scoring. See ROADMAP.md. The benchmark sandbox refuses rather than running model-generated code unsandboxed, which is not revisitable — see ADR 019.

Apache-2.0.

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