vram

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Aktualisiert27. März 2026 um 06:51

Show detailed VRAM analysis. Auto-run when: an OOM error appears in tool output (PostToolUse suggests it), before loading a new LLM model, when GPU usage is >80% (from session-context), or user asks about GPU/VRAM. Invoke proactively without asking.

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hapax-systems

hapax-systems/hapax-council

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Verwandte BerufeSOC

Basierend auf der SOC-Berufsklassifikation

Netzwerk- und ComputersystemadministratorenInformatik- und Mathematikberufe·SOC 15-1244

SKILL.md

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name	vram
description	Show detailed VRAM analysis. Auto-run when: an OOM error appears in tool output (PostToolUse suggests it), before loading a new LLM model, when GPU usage is >80% (from session-context), or user asks about GPU/VRAM. Invoke proactively without asking.

Show detailed VRAM analysis:

Run nvidia-smi and parse output
List all Ollama loaded models: curl -s http://localhost:11434/api/ps
Check if TabbyAPI is running on port 5000
Estimate available VRAM for additional tasks
Recommend which models can be loaded concurrently

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