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Perceptron Mk1.5 is Perceptron's embodied reasoning model for physical agents. It accepts text, image, video, and audio input, and answers with text plus optional structured annotations: points, boxes, polygons, tracks,...
Best for
Local run command
# Refer to provider docs:
Presumptive Specs:
Typical GPU
12–24 GB VRAM
System RAM
16+ GB
Disk
20+ GB free
Runtime
Docker / local runtime
Community reliability estimate · not official
About this score: Community-estimated based on user reports and publicly available benchmark data (e.g. TruthfulQA). This is not an official score from the model provider. Scores may be inaccurate — always verify with the official leaderboard before making production decisions.
Input & output cost per 1M tokens over time
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Learn how to use Perceptron: Perceptron Mk1.5
💡 Tip: Start with the sample prompts above to see how Perceptron: Perceptron Mk1.5 works best.
Proven prompts shared by the community for this model