WFGY/ProblemMap/GlobalFixMap/LocalDeploy_Inference/gpt4all.md

GPT4All: Guardrails and Fix Patterns

🧭 Quick Return to Map

You are in a sub-page of LocalDeploy_Inference.
To reorient, go back here:

• LocalDeploy_Inference — on-prem deployment and model inference
• WFGY Global Fix Map — main Emergency Room, 300+ structured fixes
• WFGY Problem Map 1.0 — 16 reproducible failure modes

Think of this page as a desk within a ward.
If you need the full triage and all prescriptions, return to the Emergency Room lobby.

GPT4All is a popular desktop/local LLM runtime with a user-friendly interface and broad model support (GGUF/GGML). It enables plug-and-play inference on CPU/GPU without complex setup, but it introduces typical fragilities: schema drift, citation loss, and memory instability. This page provides WFGY-based guardrails and reproducible fixes.

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Open these first

• Architecture map: RAG Architecture & Recovery
• Retrieval knobs: Retrieval Playbook
• Embedding checks: embedding-vs-semantic.md
• Context failures: context-drift.md, entropy-collapse.md
• Safety fences: prompt-injection.md, logic-collapse.md
• Boot/deploy issues: bootstrap-ordering.md, predeploy-collapse.md

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Core acceptance

• ΔS(question, retrieved) ≤ 0.45
• Coverage ≥ 0.70
• λ convergent across paraphrases and seeds
• JSON schema compliance enforced
• Context stability beyond 4k–8k tokens

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Common GPT4All breakpoints

Symptom	Likely Cause	Fix
Correct snippet retrieved but answer drifts	Schema mis-binding in desktop client	retrieval-traceability.md, data-contracts.md
Outputs vary per run	Prompt header drift or λ flip	context-drift.md
Free-text injected into tool args	Missing schema lock	prompt-injection.md
JSON parse fails	Inconsistent serialization	logic-collapse.md
First query crashes	Init sequence not fenced	bootstrap-ordering.md

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Fix in 60 seconds

1. Warmup: run a dummy inference before real questions.
2. Schema lock all JSON outputs; reject free text.
3. Trace citations: enforce cite-then-explain with snippet IDs.
4. Measure ΔS and λ across paraphrases; if ΔS ≥ 0.60, re-embed or re-chunk.
5. Reset memory after 4k–8k tokens or when entropy rises.

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Diagnostic prompt (copy-paste)

I am running GPT4All with model={gguf/quant}.
Question: "{user_question}"

Return:
- ΔS(question, retrieved)
- λ across 3 paraphrases × 2 seeds
- JSON schema compliance
- WFGY fix page if ΔS ≥ 0.60

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🔗 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

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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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