KoboldCPP: Guardrails and Fix Patterns

KoboldCPP is a lightweight local inference runtime for LLaMA-based models, focused on CPU (with AVX/AVX2/AVX512) and GPU acceleration (CUDA, Metal, OpenCL). It is popular in hobbyist and low-VRAM deployments but frequently shows drift when paired with RAG, agents, or long-context reasoning. This page defines stability checks and exact WFGY fixes.

Open these first

Visual recovery map: RAG Architecture & Recovery
End-to-end knobs: Retrieval Playbook
Ordering and deploy fences: bootstrap-ordering.md, deployment-deadlock.md, predeploy-collapse.md
Trace schema: retrieval-traceability.md, data-contracts.md

Core acceptance

ΔS(question, retrieved) ≤ 0.45
Coverage ≥ 0.70 on target snippet
λ remains convergent across 3 paraphrases × 2 seeds
Stable behavior across quantization (Q4_K_M, Q5_K, Q8_0)

Common KoboldCPP breakpoints

Symptom	Likely Cause	Fix
ΔS jumps when switching quantization modes	Embedding contract not enforced	embedding-vs-semantic.md, chunking-checklist.md
Context drift after ~4–6k tokens	KV cache fragmentation	context-drift.md, entropy-collapse.md
Tool JSON output invalid	No enforced schema	prompt-injection.md, logic-collapse.md
Model boots but hangs on first query	Lazy allocator / boot fence missing	bootstrap-ordering.md
Agent handoff loops with role drift	Memory namespace not separated	Multi-Agent_Problems.md

Fix in 60 seconds

Run a warm-up batch (10–20 tokens) before first live query.
Force citation schema: snippet_id, section_id, offsets must be present.
λ probe: run three paraphrases at k=5,10,20. Require convergence.
Rotate cache every 8k tokens to prevent entropy collapse.
Verify with coverage ≥ 0.70, ΔS ≤ 0.45.

Diagnostic prompt (copy-paste)

I am running KoboldCPP with quant={mode}, context={n_tokens}, and agents={on/off}.  
Question: "{user_question}"  

Please output:
- ΔS(question, retrieved)
- λ across 3 paraphrases × 2 seeds
- Cache stability (max tokens before drift)
- JSON schema compliance
- Minimal WFGY fix page if ΔS ≥ 0.60

🔗 Quick-Start Downloads (60 sec)

Tool	Link	3-Step Setup
WFGY 1.0 PDF	Engine Paper	1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + <your question>”
TXT OS (plain-text OS)	TXTOS.txt	1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly

🧭 Explore More

Module	Description	Link
WFGY Core	WFGY 2.0 engine is live: full symbolic reasoning architecture and math stack	View →
Problem Map 1.0	Initial 16-mode diagnostic and symbolic fix framework	View →
Problem Map 2.0	RAG-focused failure tree, modular fixes, and pipelines	View →
Semantic Clinic Index	Expanded failure catalog: prompt injection, memory bugs, logic drift	View →
Semantic Blueprint	Layer-based symbolic reasoning & semantic modulations	View →
Benchmark vs GPT-5	Stress test GPT-5 with full WFGY reasoning suite	View →
🧙‍♂️ Starter Village 🏡	New here? Lost in symbols? Click here and let the wizard guide you through	Start →

👑 Early Stargazers: See the Hall of Fame ⭐ WFGY Engine 2.0 is already unlocked. ⭐ Star the repo to help others discover it and unlock more on the Unlock Board.

8.7 KiB Raw Blame History Unescape Escape