WFGY/ProblemMap/GlobalFixMap/LocalDeploy_Inference/tgi.md

Hugging Face TGI: Guardrails and Fix Patterns

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

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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

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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)

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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

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Fix in 60 seconds

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

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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  

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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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