Inspect Elements for LLMs

Locate exactly where knowledge lives in a model's weights, and edit it directly, no retraining, no guesswork.

Devtools for LLMs

SFT, LoRA, QLoRA — every mainstream method treats the model as a black box. You adjust data, tweak hyperparameters, hope the right behaviour emerges, and have no real idea what changed inside. When something breaks, you retrain from scratch. When someone asks you to explain a decision, you can't.

They're all just hammers. None of them let you look inside.

The model, as you know it
SFTLoRAQLoRA
What Aquin adds
inspectlocateeditno retraining
InputHiddenOutput

these are the weights — Aquin lets you see exactly what each one learned, where behaviour lives, and edit it directly

inspect

See inside any open-source model. Which layers store what, how specific weights connect to specific behaviours. Like inspect element, but for LLMs.

layer 1
layer 2
layer 3
layer N
weight → behaviour mapped

locate + edit

Find the exact weight responsible for a behaviour. Edit it directly. No retraining, no fine-tuning, no compute wasted. Based on ROME — rank-one model editing.

all weights
one weight

AMF

Aquin Model Format. A new weight format that stores behavioural metadata alongside the weights themselves. Models that are inspectable and editable by design, not as an afterthought.

weights
+
what it learned
where it lives
why it fires
.amf


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