VQV Signal
According to a post on X by @upeshinmars, Nace AI has opened Drex Max v1, a dense 27B model with a 255-way readout head. Given a context and named questions, the model returns a probability for every option in a single forward pass, and nothing is generated. The model card says it runs locally on Apple silicon through llama.cpp, Ollama and MLX, and it is released under Nace.AI's Open RAIL-M license.
According to a post on X by @upeshinmars, Nace AI has opened Drex Max v1, a dense 27B model with a 255-way readout head. Given a context and named questions, the model returns a probability for every option in a single forward pass, and nothing is generated. The model card says it runs locally on Apple silicon through llama.cpp, Ollama and MLX, and it is released under Nace.AI's Open RAIL-M license.
AI-assisted summary based on the listed source.
Drex Max is a dense 27B model with a 255-way readout head: you pass a context and named questions and get a probability for every option in one forward pass, with nothing generated. The model card says it runs locally on Apple silicon through llama.cpp, Ollama and MLX, under Nace.AI's Open RAIL-M license. Original...
Developers who need classification or option-scoring tasks could run this model locally rather than calling a text-generating system. Builders on Apple silicon hardware may be the most directly affected, since the source names local support on that platform. The main thing to watch is independent testing of how well the scoring approach performs on real tasks.
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VQV surfaced this signal because it is recent, relevant to LLM Inference, connected to Scobleizer News Pulse (X).
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