Manage LoRA adapters on loaded base models in LocalAI.
npx skills add https://github.com/cyberpunk042/devops-expert-local-ai --skill aicp-lora
Please help me install this Agent Skill. Skill: aicp-lora Source: https://github.com/cyberpunk042/devops-expert-local-ai/tree/main/.claude/skills/aicp-lora Command: npx skills add https://github.com/cyberpunk042/devops-expert-local-ai --skill aicp-lora
Manage LoRA adapters on loaded base models to enable task-specific specialization.
Attach a LoRA adapter to the currently loaded base model using aicp --lora-cmd load with the base model and adapter path.
High-intent search queries and answers about installing and using this skill.
Attach a LoRA adapter by running the load command with your base model and adapter path, ensuring the base model is already loaded and the adapter file path is reachable.
Yes, you can list currently attached LoRA adapters per base model to verify active task-specific specializations and manage loaded runtime modules.
LoRA load failures occur when the base model is not loaded or the adapter path is unreachable; runtime checks diagnose these common LoRA load issues and surface corrective guidance to resolve them.
You need a loaded base model and a reachable adapter file path, as runtime checks enforce both conditions before allowing LoRA adapter attachment for task-specific specialization.
You need LoRA adapters when applying task-specific specialization to a loaded base model, enabling customized inference behaviors without modifying the underlying base model weights.
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