WFGY/ProblemMap/GlobalFixMap/LocalDeploy_Inference/koboldcpp.md

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KoboldCPP: Guardrails and Fix Patterns

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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.


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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 ~46k 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

  1. Run a warm-up batch (1020 tokens) before first live query.
  2. Force citation schema: snippet_id, section_id, offsets must be present.
  3. λ probe: run three paraphrases at k=5,10,20. Require convergence.
  4. Rotate cache every 8k tokens to prevent entropy collapse.
  5. 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 1 Download · 2 Upload to your LLM · 3 Ask “Answer using WFGY + <your question>”
TXT OS (plain-text OS) TXTOS.txt 1 Download · 2 Paste into any LLM chat · 3 Type “hello world” — OS boots instantly

Explore More

Module Description Link
WFGY Core Canonical framework entry point View
Problem Map Diagnostic map and navigation hub View
Tension Universe Experiments MVP experiment field View
Recognition Where WFGY is referenced or adopted View
AI Guide Anti-hallucination reading protocol for tools View

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