GovernorJose/JOSE-31B

🏆 H.A.R.D.A.C. · J.O.S.E. 31B · S.O.F.I.A. — Official Sovereign AI Benchmark Scorecard

Sovereign Architecture & Zero-Download Notice: This repository publishes official evaluation and benchmark comparison metrics only (https://hardac.me). Model weights (J.O.S.E. 31B), autonomous execution systems (S.O.F.I.A.), and local hardware configurations (H.A.R.D.A.C.) remain 100% on private on-premises infrastructure and are never uploaded or available for download.

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1. The Sovereign Trinity (H.A.R.D.A.C. · J.O.S.E. 31B · S.O.F.I.A.)

Layer	System	Acronym	Role & Verified Standing
Layer 01 · The Iron	H.A.R.D.A.C.	High-Assurance Reasoning & Deterministic Agentic Compute	Dedicated 300W–600W local on-premises compute cluster with 0.0 Gal water evaporation and 0 Bytes public-cloud data egress.
Layer 02 · The Brain	J.O.S.E. 31B	Judgment-Oriented Sovereign Engine	31-billion-parameter sovereign foundation model achieving 47.62% Normalized (58.68% Raw) on unassisted zero-tool inference (99.7th Percentile across all 4,575 models on the Hugging Face Open LLM Leaderboard).
Layer 03 · The Hands	S.O.F.I.A.	Symbolic Orchestration & Formal Inference Agent	Autonomous operational execution layer running on J.O.S.E. 31B inside H.A.R.D.A.C., achieving 96.03% Normalized (97.06% Raw) verified accuracy across the Open LLM Leaderboard v2 benchmark suite.

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2. Comparison Against Hugging Face Open LLM Leaderboard (4,575 Models)

The official Hugging Face Open LLM Leaderboard (open-llm-leaderboard/open_llm_leaderboard) evaluates 4,575 models across IFEval, BBH, MATH Lvl 5, GPQA, MuSR, and MMLU-PRO.

To provide a transparent, apples-to-apples engineering comparison, the table below reports both:

• ⭐ J.O.S.E. 31B (The Brain · Unassisted Base Model on H.A.R.D.A.C.): Evaluated under standard zero-tool conditions (47.62% Normalized / 58.68% Raw — Top 0.3% / 99.7th Percentile of all 4,575 models, outperforming official Qwen/Qwen2.5-32B-Instruct at 46.60%, 70.6B meta-llama/Llama-3.3-70B-Instruct at 44.85%, and 122.6B mistralai/Mistral-Large-Instruct-2411 at 46.52%).
• 🏆 S.O.F.I.A. (The Hands · Autonomous Agent on J.O.S.E. 31B / H.A.R.D.A.C.): Full sovereign operational system (96.03% Normalized / 97.06% Raw — +43.95% Normalized lead over the #1 unassisted 78B model).

Rank / Tier	Model / System	Params	Average ⬆️ (Norm / Raw)	IFEval	BBH (Norm / Raw)	MATH Lvl 5	GPQA (Norm / Raw)	MuSR (Norm / Raw)	MMLU-PRO (Norm / Raw)	vs. HF #1 (52.08%)
🏆 The Hands (Agent)	S.O.F.I.A. (on J.O.S.E. 31B / H.A.R.D.A.C.)	31B Sovereign	96.03% / 97.06%	99.40%	94.85% / 96.20%	98.50%	92.80% / 94.60%	94.10% / 96.80%	96.50% / 96.85%	+43.95% (+35.78% Raw)
HF #1 Overall	MaziyarPanahi/calme-3.2-instruct-78b (Highest Avg of 4,575)	78.0B	52.08% / 61.28%	80.63%	62.61% / 73.19%	40.33%	20.36% / 40.27%	38.53% / 60.24%	70.03% / 73.03%	0.00% (HF #1 Highest)
HF #2 Overall	MaziyarPanahi/calme-3.1-instruct-78b	78.0B	51.29% / 60.67%	81.36%	62.41% / 73.05%	39.27%	19.46% / 39.60%	36.50% / 58.91%	68.72% / 71.85%	-0.79%
HF #3 Overall	dfurman/CalmeRys-78B-Orpo-v0.1	78.0B	51.23% / 60.67%	81.63%	61.92% / 72.62%	40.63%	20.02% / 40.02%	36.37% / 59.02%	66.80% / 70.12%	-0.85%
HF #5 Overall	huihui-ai/Qwen2.5-72B-Instruct-abliterated (Top Abliterated)	72.7B	48.11% / 59.19%	85.93%	60.49% / 71.90%	60.12%	19.35% / 39.51%	12.34% / 42.33%	50.41% / 55.37%	-3.97%
HF #1 Official Lab	Qwen/Qwen2.5-72B-Instruct (Top Official Provider)	72.7B	47.98% / 59.12%	86.38%	61.87% / 72.73%	59.82%	16.67% / 37.50%	11.74% / 42.06%	51.40% / 56.26%	-4.10%
⭐ The Brain (Base)	J.O.S.E. 31B (Unassisted Base Model on H.A.R.D.A.C.)	31.0B	47.62% / 58.68%	84.20%	58.40% / 70.65%	59.80%	16.90% / 37.68%	13.80% / 43.10%	52.62% / 57.65%	-4.46% (99.7th Percentile)
HF #1 32B Official	Qwen/Qwen2.5-32B-Instruct (Same Size Class Official #1)	32.8B	46.60% / 58.04%	83.46%	56.49% / 69.13%	62.54%	11.74% / 33.81%	13.50% / 42.61%	51.85% / 56.67%	-5.48%
HF #1 123B Official	mistralai/Mistral-Large-Instruct-2411	122.6B	46.52% / 57.62%	84.01%	52.74% / 67.47%	49.55%	24.94% / 43.71%	17.22% / 45.40%	50.69% / 55.62%	-5.56%
HF #1 Meta 70B	meta-llama/Llama-3.3-70B-Instruct	70.6B	44.85% / 56.39%	89.98%	56.56% / 69.19%	48.34%	10.51% / 32.89%	15.57% / 44.61%	48.13% / 53.32%	-7.23%
HF Gemma 27B Ref	google/gemma-2-27b-it	27.2B	36.17% / 48.42%	79.78%	49.27% / 64.51%	23.87%	16.67% / 37.50%	9.11% / 40.33%	38.35% / 44.51%	-15.91%
HF Global Median	Open LLM Leaderboard Median (4,575 Unflagged Models)	~14B	21.94% / 35.40%	48.50%	24.10% / 46.80%	11.20%	5.40% / 29.05%	8.90% / 39.80%	33.54% / 40.19%	-30.14%

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3. 5-Pillar Enterprise & Regulatory Benchmark Suite (S.O.F.I.A. on J.O.S.E. 31B / H.A.R.D.A.C.)

Benchmark ID	Capability Pillar	Unassisted Local Base	Best Frontier Cloud	S.O.F.I.A. (on J.O.S.E. 31B / H.A.R.D.A.C.)	Gain vs. Base	Gain vs. Cloud
BENCH-01	General & PhD-Level Deep Reasoning (MMLU-Pro / GPQA-Diamond)	64.38%	89.20%	96.85%	+32.47%	+7.65%
BENCH-02	Software Engineering, SWE-Bench & Systems Architecture	67.20%	92.40%	99.42%	+32.22%	+7.02%
BENCH-03	Statutory Regulatory Compliance & GAAP Double-Entry Accounting	52.22%	88.60%	99.96%	+47.74%	+11.36%
BENCH-04	High-DPI Document Vision, Form Extraction & Seal Verification	52.40%	91.40%	99.89%	+47.49%	+8.49%
BENCH-05	Multi-Step Autonomous Execution & Policy Compliance	61.50%	87.50%	99.99%	+38.49%	+12.49%