Drex Max v1 open weights: Nace AI's 27B decision model, now runnable locally
Open weights for Nace AI's 27-billion-parameter decision model: it returns a probability for every option in a single forward pass, with a 262,144-token window and image input, and runs on consumer Apple Silicon Macs and NVIDIA GPUs.
Why it matters
A decision model, not a chatbot: calibrated probabilities instead of generated text, now as open weights that can run locally rather than only through a hosted API.
What you could build with it
An audit team could route invoice approvals through a decision model like this: each invoice plus its supporting documents becomes a state, typed questions ask whether the amount matches and the vendor is approved, and only low-confidence cases reach a human reviewer.
Does it hold up?
Usable now via the hosted API and, with the open weights, locally on machines with 24 GB or more of memory; the Q8 checkpoint needs 48 GB, so local use is limited to well-specced hardware.
Built with Drex Max v1 open weights
- Drex Max model overviewThere's An AI For That · Model listing describing Drex Max as a multimodal decision model that answers typed questions with calibrated probabilities instead of generating free text.
- Drex Max decision-making deep dive and videoUndercode Testing · Walkthrough of Drex Max as a pure decision model for agent loops, with its Decision Index score and API payload format.
Learn more
First spotted on article: source.
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