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From hyrex-ruvllm
Configure RuVLLM local inference with model selection, MicroLoRA fine-tuning, and SONA adaptation
npx claudepluginhub akhilyad/deployy --plugin hyrex-ruvllmHow this skill is triggered — by the user, by Claude, or both
Slash command
/hyrex-ruvllm:llm-config [--model MODEL] [--adapter microlora|sona][--model MODEL] [--adapter microlora|sona]This skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Configure RuVLLM for local inference and fine-tuning.
Creates p5.js generative art with seeded randomness, noise fields, and interactive parameter exploration. Use for algorithmic art, flow fields, or particle systems.
Share bugs, ideas, or general feedback.
Configure RuVLLM for local inference and fine-tuning.
When you need to configure local LLM inference, create MicroLoRA adapters for task-specific fine-tuning, or set up SONA for real-time adaptation.
mcp__hyrex__ruvllm_status to see current model and adapter statemcp__hyrex__ruvllm_generate_config with model parametersmcp__hyrex__ruvllm_microlora_create for task-specific adaptersmcp__hyrex__ruvllm_microlora_adapt with training datamcp__hyrex__ruvllm_sona_create for real-time neural adaptationmcp__hyrex__ruvllm_sona_adapt with feedback signals| Feature | MicroLoRA | SONA |
|---|---|---|
| Speed | Minutes to train | <0.05ms adaptation |
| Scope | Task-specific fine-tuning | Real-time micro-adjustments |
| Persistence | Saved as adapter weights | Session-scoped |
| Use case | Specialized domain tasks | Continuous feedback loops |