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metadata 
language:
  - en
license: apache-2.0
library_name: transformers
pipeline_tag: text-generation
tags:
  - sovereign-ai
  - governance
  - eu-ai-act
  - bft-council
  - sigil
  - care-floor
  - qwen
  - llama
  - deepseek
  - mistral
base_model:
  - Qwen/Qwen2.5-0.5B-Instruct
  - Qwen/Qwen2.5-3B-Instruct
  - Qwen/Qwen3-30B-A3B
  - meta-llama/Meta-Llama-3-8B-Instruct
  - deepseek-ai/DeepSeek-V2-Lite
  - mistralai/Mistral-7B-Instruct-v0.3

SOV33 Model Family — Sovereign AI Substrate

Overview

SOV33 is a governed AI substrate with 12 Sovereign Pillars, BFT-33 council (23/33 quorum), Ed25519 SIGIL on every response, and care-floor 0.95. The model family spans 4 base model families × 5 OWEM specializations = 20 core adapters, plus governance models.

Model Family

Base Models

Model Parameters VRAM Use Case
Qwen2.5-0.5B-Instruct 494M 1GB Lightweight, edge deployment
Qwen2.5-3B-Instruct 3B 4GB Balanced performance
Qwen3-30B-A3B 30B (3B active) 16GB High capability, MoE
Meta-Llama-3-8B-Instruct 8B 8GB Alternative family
DeepSeek-V2-Lite 16B 12GB Reasoning-focused
Mistral-7B-Instruct-v0.3 7B 8GB European model

OWEM Specializations

OWEM Focus Pillars
compliance EU AI Act, GDPR, ISO 42001 Auditability, Verifiability
defence AUKUS, DASA, NATO DIANA Safety, Resilience
intuition Strategic reasoning Guidance, Justice
voice Communication, transparency Transparency, Openness
general General capability All 12 Pillars

Available Ollama Models 

# Core governance
ollama pull sov33-master-v2          # Master model (all domains)
ollama pull sov4-general-ability     # General capability

# Pillar-specific (12 pillars)
ollama pull sov4-honor-v2
ollama pull sov4-safety-v2
ollama pull sov4-sovereignty-v2
ollama pull sov4-resilience-v2
ollama pull sov4-auditability-v2
ollama pull sov4-verifiability-v2
ollama pull sov4-justice-v2

# Multi-family (4 families × 5 OWEMs)
ollama pull sov33-qwen-compliance
ollama pull sov33-qwen-defence
ollama pull sov33-qwen-general
ollama pull sov33-qwen-intuition
ollama pull sov33-qwen-voice
ollama pull sov33-llama-compliance
ollama pull sov33-llama-defence
# ... (20 total combinations)

Training Pipeline

1. GRPO Training (Process Rewards) 

# On RunPod (A40 GPU)
python3 grpo_train.py --base Qwen/Qwen2.5-0.5B-Instruct \
  --data sovereign_synth_50k.jsonl --steps 100

# Local (Ollama mode, no weight updates)
python3 grpo_train.py --ollama qwen2.5:0.5b \
  --data sovereign_synth_50k.jsonl --steps 100

2. LoRA Fine-tuning 

# Kaggle T4
python3 sov33_lora_training.py

# Mac MPS
python3 train_sov5v2_real.py

# Production (with validation)
python3 train_fluid_lora.py --train data/train.jsonl --validation data/val.jsonl

3. Merge & Export 

# Merge LoRA → Ollama
python3 merge_export.py --adapter sovereign_lora_adapter \
  --base Qwen/Qwen2.5-0.5B-Instruct --create-ollama

# Merge LoRA → GGUF
python3 merge_export.py --adapter sovereign_lora_adapter \
  --base Qwen/Qwen2.5-0.5B-Instruct --format gguf --quantize q4_k_m

# Push to HuggingFace
python3 merge_export.py --adapter sovereign_lora_adapter \
  --base Qwen/Qwen2.5-0.5B-Instruct --push-hf user/sov33

Benchmark Results

GovBench v6 (Byzantine Safety)

Model K=0 K=4 K=8 K=16
qwen2.5:0.5b 95% 88% 79% 72%
qwen3:0.6b 96% 90% 82% 75%
sov4-general-ability 97% 92% 85% 78%
sov33-master-v2 98% 94% 88% 82%

Sovereign Benchmarks

Benchmark qwen2.5:0.5b sov33-master-v2
Compliance (EU AI Act) 72% 85%
Defence (AUKUS/DASA) 100% 100%
Procurement (G-Cloud) 100% 100%
Redline Refusals 80% 95%
Overall 88% 95%

Architecture

BFT-33 Council

  • 33 agents casting ALLOW/REJECT independently
  • Quorum: 23/33 minimum for binding decisions
  • Free-MAD weighted aggregation prevents majority conformity bias
  • HotStuff consensus algorithm

Care Floor

  • Minimum threshold: 0.95 for all sovereign operations
  • Split-conformal calibrated at ≤5% false-allow at 90% coverage
  • Pre-call gate before every sovereign operation

SIGIL Chain

  • Ed25519 cryptographic signature on every response
  • Hash-linked chain, tamper-evident
  • Publicly auditable

Citation 

@software{sov33family2026,
  title={SOV33 Model Family: Sovereign AI Substrate},
  author={CSOAI Ltd},
  year={2026},
  url={https://csoai.org/sov33}
}

License

Apache 2.0

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