docs: rebuild KB in OKF v0.1 with live-verified facts

Copy of the legacy ~/.pi/agent/docs tree rebuilt as the command-center
knowledge base: concept files promoted to path identity, index listings
stripped of frontmatter, all wikilinks/relative links resolved, every
checkable claim verified against the live fleet (Dankserver = Ryzen 7
7700X + RTX 3090; Strix Halo is Dankclaw), unverifiable claims tagged.
kb-lint exits 0.

omp-docs/tools/ornith-llama-cpp-setup/performance.md

@@ -0,0 +1,39 @@
+---
+type: reference
+title: Performance Benchmarks
+description: Token throughput benchmarks for Ornith 9B and 35B models with GPU vs CPU inference.
+tags:
+  - ornith
+  - performance
+  - benchmarks
+  - unverified
+verified: 2026-08-28
+---
+
+# Performance
+# Performance
+
+## 9B Model:
+
+- **Prompt Processing:** ~10-15 tokens/sec (CPU), ~50-100 tokens/sec (GPU)
+- **Generation:** ~8-12 tokens/sec (CPU), ~40-80 tokens/sec (GPU)
+
+## 35B MoE Model:
+
+- **Prompt Processing:** ~5-8 tokens/sec (CPU+GPU mix), ~30-50 tokens/sec (full GPU)
+- **Generation:** ~4-8 tokens/sec (CPU+GPU mix), ~20-40 tokens/sec (full GPU)
+
+**Note:** MoE models can be slower due to expert routing overhead, but provide better quality.
+
+## Tuning Tips
+
+1. **Increase GPU layers** (`-ngl`) for better speed
+2. **Enable Flash Attention:** `--flash-attn on` (if supported)
+3. **Use a smaller quantization** (Q4_K_M instead of Q8_0)
+4. **Reduce context window size** if memory-bound
+5. **KV Cache Quantization:** `--cache-type-k q8_0` to reduce KV cache memory
+
+## Related
+
+* [GPU Offloading](/tools/ornith-llama-cpp-setup/gpu-offloading.md) — Optimize GPU layers for your hardware
+* [Troubleshooting](/tools/ornith-llama-cpp-setup/troubleshooting.md) — Fix performance issues