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143 lines
8.7 KiB
Markdown
143 lines
8.7 KiB
Markdown
# Ollama: Guardrails and Fix Patterns
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<details>
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<summary>🌙 3AM: a dev collapsed mid-debug… 🚑 Welcome to the WFGY Emergency Room</summary>
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---
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🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥
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## 🚑 WFGY Emergency Room
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👨⚕️ **Now online:**
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[**Dr. WFGY in ChatGPT Room**](https://chatgpt.com/share/68b9b7ad-51e4-8000-90ee-a25522da01d7)
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This is a **share window** already trained as an ER.
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Just open it, drop your bug or screenshot, and talk directly with the doctor.
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He will map it to the right Problem Map / Global Fix section, write a minimal prescription, and paste the exact reference link.
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If something is unclear, you can even paste a **screenshot of Problem Map content** and ask — the doctor will guide you.
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⚠️ Note: for the full reasoning and guardrail behavior you need to be logged in — the share view alone may fallback to a lighter model.
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💡 Always free. If it helps, a ⭐ star keeps the ER running.
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🌐 Multilingual — start in any language.
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🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥
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---
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</details>
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<details>
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<summary><strong>🧭 Quick Return to Map</strong></summary>
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<br>
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> You are in a sub-page of **LocalDeploy_Inference**.
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> To reorient, go back here:
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>
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> - [**LocalDeploy_Inference** — on-prem deployment and model inference](./README.md)
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> - [**WFGY Global Fix Map** — main Emergency Room, 300+ structured fixes](../README.md)
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> - [**WFGY Problem Map 1.0** — 16 reproducible failure modes](../../README.md)
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>
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> Think of this page as a desk within a ward.
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> If you need the full triage and all prescriptions, return to the Emergency Room lobby.
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</details>
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Field guide for stabilizing **Ollama-based local inference pipelines**.
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Use these checks when models run fine on API providers but collapse, stall, or drift when containerized with Ollama.
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## Open these first
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* Architecture recovery: [RAG Architecture & Recovery](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md)
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* End-to-end retrieval knobs: [Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md)
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* Embedding vs semantic: [embedding-vs-semantic.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md)
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* Ordering and deploy race conditions: [bootstrap-ordering.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bootstrap-ordering.md), [deployment-deadlock.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/deployment-deadlock.md), [predeploy-collapse.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/predeploy-collapse.md)
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* Container observability: [eval\_observability.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/eval_observability.md)
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---
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## Core acceptance
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* ΔS(question, retrieved) ≤ 0.45
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* Coverage ≥ 0.70 on the target section
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* λ remains convergent across 3 paraphrases
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* Local runs reproducible across 2+ seeds
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---
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## Typical Ollama breakpoints and fix
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| Symptom | Likely cause | Fix |
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| --------------------------------------- | --------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| Model boots but stalls on first request | Container not warmed / secrets missing | [bootstrap-ordering.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bootstrap-ordering.md) |
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| Fast API returns, but snippets wrong | Index/hash drift across containers | [retrieval-traceability.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md), [data-contracts.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md) |
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| Answers diverge run-to-run | λ flips due to context serialization | [context-drift.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/context-drift.md), [entropy-collapse.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/entropy-collapse.md) |
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| Works on GPU API, fails locally | Metric / embedding mismatch in Ollama runtime | [embedding-vs-semantic.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md), [vectorstore-fragmentation.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/vectorstore-fragmentation.md) |
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| Container OOM or deadlock | Parallel inference with no fence | [deployment-deadlock.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/deployment-deadlock.md), [predeploy-collapse.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/predeploy-collapse.md) |
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---
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## Fix in 60 seconds
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1. **Measure ΔS** between retrieved and anchor.
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2. **Probe λ** across 3 paraphrases. If flips, apply BBAM.
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3. **Warm boot** with a delay + healthcheck before first request.
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4. **Lock index schema** via [data-contracts.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md).
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5. **Verify reproducibility** with two seeds before going live.
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---
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## Copy-paste local test prompt
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```txt
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I have WFGY + TXTOS loaded.
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Running Ollama locally with container {hash}.
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Question: "{user_question}"
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Return:
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1. ΔS(question,retrieved) and λ across 3 paraphrases
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2. Whether index schema matches contract
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3. Minimal structural fix if ΔS ≥ 0.60
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```
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---
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### 🔗 Quick-Start Downloads (60 sec)
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| Tool | Link | 3-Step Setup |
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| -------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------------------------- |
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| **WFGY 1.0 PDF** | [Engine Paper](https://github.com/onestardao/WFGY/blob/main/I_am_not_lizardman/WFGY_All_Principles_Return_to_One_v1.0_PSBigBig_Public.pdf) | 1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + \<your question>” |
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| **TXT OS (plain-text OS)** | [TXTOS.txt](https://github.com/onestardao/WFGY/blob/main/OS/TXTOS.txt) | 1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly |
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---
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<!-- WFGY_FOOTER_START -->
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### Explore More
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| Layer | Page | What it’s for |
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| --- | --- | --- |
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| Proof | [WFGY Recognition Map](/recognition/README.md) | External citations, integrations, and ecosystem proof |
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| Engine | [WFGY 1.0](/legacy/README.md) | Original PDF based tension engine |
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| Engine | [WFGY 2.0](/core/README.md) | Production tension kernel and math engine for RAG and agents |
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| Engine | [WFGY 3.0](/TensionUniverse/EventHorizon/README.md) | TXT based Singularity tension engine, 131 S class set |
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| Map | [Problem Map 1.0](/ProblemMap/README.md) | Flagship 16 problem RAG failure checklist and fix map |
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| Map | [Problem Map 2.0](/ProblemMap/rag-architecture-and-recovery.md) | RAG focused recovery pipeline |
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| Map | [Problem Map 3.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card, image as a debug protocol layer |
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| Map | [Semantic Clinic](/ProblemMap/SemanticClinicIndex.md) | Symptom to family to exact fix |
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| Map | [Grandma’s Clinic](/ProblemMap/GrandmaClinic/README.md) | Plain language stories mapped to Problem Map 1.0 |
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| Onboarding | [Starter Village](/StarterVillage/README.md) | Guided tour for newcomers |
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| App | [TXT OS](/OS/README.md) | TXT semantic OS, fast boot |
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| App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q and A built on TXT OS |
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| App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image with semantic control |
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| App | [Blow Blow Blow](/OS/BlowBlowBlow/README.md) | Reasoning game engine and memory demo |
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If this repository helped, starring it improves discovery so more builders can find the docs and tools.
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[](https://github.com/onestardao/WFGY)
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<!-- WFGY_FOOTER_END -->
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要我直接繼續寫 **`vllm.md`** 嗎？
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