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Nace AI releases Drex Max v1, a 27B decision model that runs locally on Apple Silicon

Nace AI has released Drex Max v1 as open weights, a 27B decision model that can run on local hardware. The model ships bf16 weights, a Q80 GGUF, and an affine Q4 checkpoint, and can be used via llama.cpp or Ollama. It supports routing, classification and policy checks on a single machine. The model has a 262,144-token window (16,384 by default) and can output up to 255 options per question. It…

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Key points

  • Drex Max v1 is a 27B decision model with 262,144-token window and up to 255 options per question
  • It runs on NVIDIA GPUs and Apple Silicon Macs, with open‑weights via bf16, Q8_0 GGUF and affine Q4
  • Self‑reported performance: 67.52 on Decision Index 0.4, 97.3 on InfographicVQA, 81.9 in Tools area
Full story from MarkTechPost · by Asif RazzaqOpen source ↗

Nace AI Open-Sources Drex Max v1: A 27B Decision Model That Runs Locally on Apple Silicon

MarkTechPost · 1 November 2026

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This text was published by MarkTechPost and written by Asif Razzaq. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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