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  1. # Model Escalation Policy (Excluding GPT‑5.1)
  2.  
  3. **Summary:**
  4. Use local Qwen3‑4B + RAG as the default “brain.” Escalate to cloud models only when the task clearly needs more capability. Different models are best for different kinds of work and budget levels.
  5.  
  6. ---
  7.  
  8. ## 1. Default: Local Qwen3‑4B + RAG
  9.  
  10. **Use for ~90–95% of everything:**
  11.  
  12. - Daily chat and reasoning.
  13. - Question‑answering over your own notes via ChatDistill (Qdrant).
  14. - Light–medium coding help, refactors, and debugging.
  15. - Infra questions about:
  16. - llama‑server flags,
  17. - your hardware profile,
  18. - RAG design and workflows.
  19.  
  20. **Why:**
  21.  
  22. - Runs fast on the P330 + P1000.
  23. - Has your **ground truth** in RAG (hardware, tools, cost notes).
  24. - Free (local) and “good enough” for most decisions that are easy to reverse.
  25.  
  26. ---
  27.  
  28. ## 2. When to Escalate to Qwen3 Coder 30B A3B
  29.  
  30. **Role:**
  31. Primary **coding specialist** when you need higher quality than 4B.
  32.  
  33. **Use when:**
  34.  
  35. - You’re working on **complex, error‑sensitive code**, e.g.:
  36. - multi‑file refactors,
  37. - non‑trivial algorithms,
  38. - architecture‑level changes.
  39. - You want more reliable:
  40. - type correctness,
  41. - API usage,
  42. - edge‑case handling.
  43.  
  44. **Why this before others:**
  45.  
  46. - Tuned for code; better coding ability per dollar than general models.
  47. - Cheap enough (~$0.15 / 1M tokens) to use regularly for serious coding work.
  48. - Best “bang for buck” when the bottleneck is **code quality**, not general reasoning.
  49.  
  50. **Policy:**
  51. > “If 4B feels shaky on a code change I actually care about → escalate to **Qwen Coder 30B**.”
  52.  
  53. ---
  54.  
  55. ## 3. When to Escalate to GPT‑4.1 nano
  56.  
  57. **Role:**
  58. Cheap, stronger **general reasoner** and analyst.
  59.  
  60. **Use when:**
  61.  
  62. - You want a **second opinion** on:
  63. - architecture or design decisions,
  64. - non‑code system planning,
  65. - trade‑offs inside your stack (pipelines, batching, hardware configs).
  66. - You need more brainpower than 4B but don’t want to pay 5.1‑level prices.
  67. - You’re doing **high‑volume** but not ultra‑critical analysis / coding.
  68.  
  69. **Why:**
  70.  
  71. - Strong general‑purpose reasoning and breadth for its price.
  72. - Good “cheap reviewer” of Qwen3‑4B’s plans, as long as you still verify key numbers.
  73. - Better default choice than OSS‑20B when you care more about **overall quality** than being strictly free.
  74.  
  75. **Policy:**
  76. > “If a plan from 4B touches multiple systems or feels borderline, or I want a cheap audit → run it past **GPT‑4.1 nano**.”
  77.  
  78. ---
  79.  
  80. ## 4. When to Use OSS‑20B (Free)
  81.  
  82. **Role:**
  83. Free, reasonably capable general model for **bulk / low‑stakes** work and rough analysis.
  84.  
  85. **Use when:**
  86.  
  87. - You need to generate **lots of text** where quality can be lower:
  88. - brainstorming,
  89. - rough drafts,
  90. - expanding simple notes.
  91. - You want to offload work that would otherwise eat a lot of tokens, but where:
  92. - correctness is not critical,
  93. - and you’re happy to clean up manually.
  94. - You want a **zero‑cost second opinion** and are comfortable sanity‑checking results yourself.
  95.  
  96. **Why (vs GPT‑4.1 nano):**
  97.  
  98. - **OSS‑20B:** free, sometimes good at detail/spec nitpicks, but less reliable than nano overall on hard reasoning.
  99. - **GPT‑4.1 nano:** generally stronger and more consistent, but costs a little per token.
  100.  
  101. Use whichever matches your priority:
  102.  
  103. - If **budget = 0** and stakes are low → **OSS‑20B**.
  104. - If **quality matters more than $0.10/1M tokens** → **GPT‑4.1 nano**.
  105.  
  106. **Policy:**
  107. > “If it’s large‑volume and low‑stakes → use **OSS‑20B**.
  108. > If I want a more reliable cheap second opinion → use **GPT‑4.1 nano**.”
  109.  
  110. ---
  111.  
  112. ## 5. Relationship to GPT‑5.1 (If/When Used)
  113.  
  114. Even though this note is about the *cheap* models, keep the mental slot:
  115.  
  116. - **GPT‑5.1 chat** – for **rare, high‑stakes** tasks only:
  117. - critical business/strategy decisions,
  118. - anything with legal/financial risk,
  119. - deeply non‑obvious or safety‑critical code.
  120.  
  121. **Policy:**
  122. > “Use 5.1 only when a mistake would be expensive or dangerous.”
  123.  
  124. ---
  125.  
  126. ## 6. Escalation Decision Tree (Summary)
  127.  
  128. 1. **Start with local Qwen3‑4B + RAG** for everything.
  129. 2. If it’s **serious code** and 4B feels shaky → **Qwen Coder 30B**.
  130. 3. If it’s **system design / planning / infra trade‑offs** and you want a stronger brain:
  131. - Prefer **GPT‑4.1 nano** if you’re okay spending a bit, or
  132. - Use **OSS‑20B** if you want a free but weaker second opinion.
  133. 4. If it’s **cheap, bulk, low‑stakes text** → **OSS‑20B (free)** by default.
  134. 5. For **critical, irreversible, or high‑risk decisions** → only then consider **GPT‑5.1**.
  135.  
  136. Sticky note version:
  137.  
  138. > **4B + RAG by default.
  139. > Coder 30B for real code.
  140. > 4.1 nano for better general audits.
  141. > OSS‑20B for free bulk and low‑stakes checks.
  142. > 5.1 only for truly high‑stakes.**
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