VQV Signal
According to a post on X by @xevrion_the1, the Drex-Max v1 announcement describes it as a multimodal decision model that runs 100% locally on M4 and M5 Macs, with cloud inference also offered. The post says users can hand it up to 255 options and it picks one in a single pass, and that it works with Ollama and llama.cpp. The source text is truncated, so details such as benchmarks or licensing are not available here.
According to a post on X by @xevrion_the1, the Drex-Max v1 announcement describes it as a multimodal decision model that runs 100% locally on M4 and M5 Macs, with cloud inference also offered. The post says users can hand it up to 255 options and it picks one in a single pass, and that it works with Ollama and llama.cpp. The source text is truncated, so details such as benchmarks or licensing are not available here.
AI-assisted summary based on the listed source.
The Drex-Max v1 announcement calls it a multimodal decision model that runs 100% locally on M4 and M5 Macs, with cloud inference also offered. @xevrion_the1 says you hand it up to 255 options and it picks one in a single pass, and that it works with Ollama and llama.cpp. Also:...
Developers who want decision-making models on their own Apple hardware may find this relevant, since the post says it runs locally and works with the Ollama and llama.cpp tools. Anyone considering it should check the official announcement for model details, performance and terms of use before relying on the local-only claim. Watch for independent testing that supports the claims about single-pass selection across up to 255 options.
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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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