llm-config

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Configure RuVLLM for local inference and fine-tuning.

配置RuVLLM以实现本地推理与微调。

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

当你需要配置本地LLM推理、创建用于特定任务微调的MicroLoRA适配器，或设置SONA以实现实时适配时。

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

生成配置 — 传入模型参数调用

mcp__claude-flow__ruvllm_generate_config

创建MicroLoRA — 调用
```
mcp__claude-flow__ruvllm_microlora_create
```
生成特定任务适配器
适配MicroLoRA — 传入训练数据调用
```
mcp__claude-flow__ruvllm_microlora_adapt
```
创建SONA — 调用
```
mcp__claude-flow__ruvllm_sona_create
```
实现实时神经适配
适配SONA — 传入反馈信号调用
```
mcp__claude-flow__ruvllm_sona_adapt
```