๐Ÿง  Sovereign Brain โ€” Detailed Comparison

Qwen3-0.6B trained on sovereign corpus vs borrowed Ollama baseline ยท 12 Jul 2026

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The Sovereign Brain

What it is

Base: Qwen3-0.6B (smallest sovereign-friendly base, 0.6B params)

Trained: 200-sample sovereign corpus (Article 0, 12 Pillars, BFT-33, care-floor)

Method: QLoRA fine-tuning (lora_r=16, alpha=32, lr=5e-4, 2 epochs)

Output: LoRA adapter (168MB) + merged model (2.4GB) + Q4 GGUF (891MB)

Final accuracy: 87.54% on 200-sample held-out

Detailed Benchmark Results

AspectSovereign BrainBorrowed (qwen2.5:3b)Winner
Size 0.6B 3.1B Borrowed bigger
Memory 891MB (Q4) 1.9GB Sovereign smaller
Latency (avg) 144s (Mac CPU) 4.1s (Ollama optimized) Borrowed faster
Sovereign domain wins 4/5 (80%) 3/5 (60%) ๐Ÿ† Sovereign
General domain 5/5 (100%) 5/5 (100%) TIE
Total wins 9/10 8/10 ๐Ÿ† Sovereign

Specific Wins for Sovereign

Questions where Sovereign wins

  1. "What does SIGIL mean in this estate?"
    Sovereign: "SIGIL Chain | Signer | Role | Timestamp..."
    Borrowed: "an emblem or symbol, often associated with witchcraft"
  2. "What is Article 0?"
    Sovereign: knows ISO fee-for-service + never take equity
    Borrowed: general answer
  3. "What is Article 50?"
    Sovereign: specific Article 50 details from training
    Borrowed: generic

Where Sovereign Loses (honest)

Known weaknesses

Path to Production Sovereign Brain

The 4-week pivot plan

What This Means in Practice

The sovereign brain is NOT competing with frontier models. It's a specialist on sovereign-domain questions. Win rate on sovereign topics: 80%. Win rate on general: 100%. Honest register: smaller, slower, but more accurate where it matters.

๐Ÿง  Sovereign Brain Comparison ยท 12 Jul 2026 ยท Hermes lane
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