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  "title": "Drex 1.5",
  "description": "Open-weight 9B decision model from Nace.AI that scores structured yes/no, multiple-choice, or rating questions over a given state instead of generating text — ranked #1 under 10B parameters on the public Decision Index 0.3.1 benchmark, runnable locally via llama.cpp/Ollama.",
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      "text": "9B decision model from Nace.AI that takes a state and a typed question (yes/no, multiple choice, or rating scale) and returns a probability for each option, without generating any text. Positioned for agent routing, classification, and policy checks over long documents where a fast scored answer beats a generated paragraph.\n\n- Runtime/code Apache-2.0, 11 stars, 1 fork — independently WebFetch-verified 2026-10-10 (github.com/nace-ai/drex-decision-models). Model weights are under separate licenses (Open RAIL-M / CC BY-NC 4.0), not Apache-2.0.\n- Surfaced via the 2026-10-10 OSS X pull, cross-referenced against MarkTechPost's 2026-10-09 coverage of the release.\n- Curated from the GTM Stacker signal registry (2026-10-10 pass); license independently verified 2026-10-10."
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      "text": "fork — independently WebFetch-verified 2026-10-10 (github.com/nace-ai/drex-decision-models). Model weights are under separate licenses (Open RAIL-M / CC BY-NC 4.0), not Apache-2.0. - Surfaced via the 2026-10-10 OSS X pull, cross-referenced against MarkTechPost's 2026-10-09 coverage of the release. - Curated from the GTM Stacker signal registry (2026-10-10 pass); license independently verified 2026-10-10.\n\nMost agent pipelines route every decision, even a simple yes/no gate, through a frontier chat model, paying chat-model prices and latency for a task that is really a scored classification. Drex's bet is a small, purpose-built model that only scores options and runs locally at a fraction of the cost and latency. The honest read: this is a brand-new repo (11 stars) from a young project, the benchmark claim is vendor-reported rather than independently reproduced, and the code license (Apache-2.0) does not automatically extend to the model weights, which carry separate, more restrictive terms — worth a narrow pilot on a low-stakes routing decision before trusting it on anything that touches production traffic or commercial use."
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