Nace.AI open-sources Drex Max v1, a 27B multimodal decision model that returns option probabilities instead of generating text
Nace.AI's model card describes Drex Max, a dense 27B-parameter model that answers typed questions about a supplied context and returns option probabilities in one forward pass rather than generating text.
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- Primary sourceHugging Face
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Nace.AI's model card describes Drex Max, a dense 27B-parameter model that answers typed questions about a supplied context and returns option probabilities in one forward pass rather than generating text. It is released under the Nace.AI Open RAIL-M license with a 255-way readout head. The card reports a public Decision Index 0.4 score of 67.52, a public vision index of 73.92, and a 64 on the Artificial Analysis Decision Index. Setup instructions cover Python on NVIDIA GPUs and Apple silicon via Kapitsa.
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Benchmark scores are reported by the model card's publisher; source claims not independently checked.
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Benchmark scores are reported by the model card's publisher; source claims not independently checked.
What material was available for this brief?
The recorded brief basis is Hugging Face model card. These points are AINewsIQ paraphrases, not quotations or independent confirmations.
Drex Max is a dense 27B-parameter model with a 255-way readout head that outputs probabilities over options instead of generated text.
Source: Hugging Face ↗Stored source-based brief · key point 1 · AINewsIQ paraphraseIt scores 67.52 on the public Decision Index 0.4 and 73.92 on the public vision index, per the model card.
Source: Hugging Face ↗Stored source-based brief · key point 2 · AINewsIQ paraphraseIt scores 64 on the Artificial Analysis Decision Index, ranking fourth of 18 per the card.
Source: Hugging Face ↗Stored source-based brief · key point 3 · AINewsIQ paraphraseThe model is released under the Nace.AI Open RAIL-M license, with weights and GGUF variants on Hugging Face.
Source: Hugging Face ↗Stored source-based brief · key point 4 · AINewsIQ paraphraseLimits from the stored brief
Benchmark scores are reported by the model card's publisher; source claims not independently checked.
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Nace.AI published the Drex Max v1 weights on Hugging Face (with Q8_0 and 4-bit variants). The model answers typed questions about a given context and returns a probability for every option in one forward pass, generating no text. Nace reports 67.52 on its Decision Index. Open RAIL-M license: free under $1M revenue or funding, larger orgs need a commercial license. It was API-only since Oct 13.
Benchmark scores are reported by the model card's publisher; source claims not independently checked.
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- x post ↗ · 312 likes, 30 reposts, 46 replies, 21 quotes · observed 11/1/2026, 5:15:20 PM
- huggingface post ↗ · 4 likes, 52 downloads · observed 10/30/2026, 4:06:38 PM
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Why this may matter
Open weights for a probability-output decision model could let developers run classification-style routing and judgment tasks locally. The benchmark figures are self-reported by the publisher and come from its own public suites.
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Benchmark scores are reported by the model card's publisher; source claims not independently checked.
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