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Nace AI Open-Sources Drex Max v1 27B Decision Model

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

MarkTechPostby Asif Razzaq ()7 min read1
AI summary · x-ai/grok-4.7Summaries by Vani AI

Drex Max v1 27B decision model is open-sourced by Nace AI for local inference on Apple Silicon.

Nace AI released Drex Max v1 as open weights. The 27B model answers questions about context including text JSON and images returning option probabilities. It supports 262144 token context and runs on Apple Silicon Macs with 24 GB or more RAM using affine Q4 quantization.

Key facts
  • Scores 67.52 on public Decision Index 0.4
  • Runs via Kapitsa or MLX on Apple Silicon
  • Q80 GGUF requires 48 GB RAM
  • Affine Q4 checkpoint targets 24 GB Macs
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From the original article

7 min read at marktechpost.com

Nace AI open-sources Drex Max v1, a 27B multimodal decision model scoring 67. 52 that runs on Apple Silicon. The post Nace AI Open-Sources Drex Max v1: A 27B Decision Model That Runs Locally on Apple Silicon appeared first on MarkTechPost.

MarkTechPost

By Asif Razzaq · marktechpost.com

Read the full article at MarkTechPost

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.