Hugging Face TGI: Guardrails and Fix Patterns

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WFGY Global Fix Map — main Emergency Room, 300+ structured fixes

WFGY Problem Map 1.0 — 16 reproducible failure modes

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Stabilization guide for Text Generation Inference (TGI), the Hugging Face high-throughput serving stack. Use these checks when local inference works in notebooks but collapses when deployed via TGI servers.

Open these first

Visual recovery: RAG Architecture & Recovery
Retrieval tuning knobs: Retrieval Playbook
Snippet traceability: retrieval-traceability.md
Ordering & race fixes: bootstrap-ordering.md, deployment-deadlock.md, predeploy-collapse.md
Embedding issues: embedding-vs-semantic.md

Core acceptance

ΔS(question, retrieved) ≤ 0.45
Coverage ≥ 0.70 for target section
λ remains convergent across 3 paraphrases and 2 seeds
Responses remain stable across concurrent clients (no flip-flops)

Typical TGI breakpoints and fix

Symptom	Likely cause	Fix
Logs show healthy, outputs differ across replicas	Worker desync / weight loading skew	bootstrap-ordering.md, predeploy-collapse.md
Citations disappear under concurrent load	Async merge loses trace offsets	retrieval-traceability.md, data-contracts.md
ΔS rises >0.60 when concurrency >10	Context fragmentation across shards	context-drift.md, entropy-collapse.md
Errors vanish in dry run, appear in production	Race condition in warm-up path	deployment-deadlock.md
JSON outputs invalid at scale	Schema loosening during parallel decode	logic-collapse.md, data-contracts.md

Fix in 60 seconds

Batch probe: Run same query at concurrency=1 and concurrency=16. If ΔS only rises at higher concurrency, lock async merging.
λ probe: Test 3 paraphrases, 2 seeds. If λ flips, apply BBAM variance clamp.
Contracts: Require snippet_id, offsets, tokens in every response.
Warm-up fencing: Run dummy batch before live serve to sync workers.
Verify: Replay test dataset at concurrency=32. Expect stable ΔS ≤ 0.45.

Copy-paste test prompt

I am running Hugging Face TGI for local inference.  
Concurrent clients sometimes cause unstable answers.  
Question: "{user_question}"  

Please return:
1. ΔS at concurrency=1 vs concurrency=16  
2. λ across paraphrases  
3. Whether citations are preserved  
4. Minimal fix module 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 →

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