技能 人工智能 本地LLM推理与微调配置

本地LLM推理与微调配置

v20260707
llm-config
用于配置本地大型语言模型(LLM)的推理环境。它支持核心模型配置,并通过MicroLoRA进行任务特定的精调,同时利用SONA技术实现实时、持续的微小参数调整,适用于构建高度专业化和自适应的AI系统。
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概览

LLM Configuration

Configure RuVLLM for local inference and fine-tuning.

When to use

When you need to configure local LLM inference, create MicroLoRA adapters for task-specific fine-tuning, or set up SONA for real-time adaptation.

Steps

  1. Check status — call mcp__claude-flow__ruvllm_status to see current model and adapter state
  2. Generate config — call mcp__claude-flow__ruvllm_generate_config with model parameters
  3. Create MicroLoRA — call mcp__claude-flow__ruvllm_microlora_create for task-specific adapters
  4. Adapt MicroLoRA — call mcp__claude-flow__ruvllm_microlora_adapt with training data
  5. Create SONA — call mcp__claude-flow__ruvllm_sona_create for real-time neural adaptation
  6. Adapt SONA — call mcp__claude-flow__ruvllm_sona_adapt with feedback signals

MicroLoRA vs SONA

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
信息
Category 人工智能
Name llm-config
版本 v20260707
大小 1.57KB
更新时间 2026-07-09
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