⚡ At a Glance
🟣 Quick summary — The WhirlwindAI MetaNova models each have their own strengths: MetaNova-0.1-70M leads on ArithMark-2, while MetaNova-Test takes ARC-Challenge. Supra-50M-Base (external baseline) posts the highest Final Avg at 38.60% with the smallest parameter count.
🏁 Full Leaderboard
🏆 = best score in the row. Bold = row winner.
📊 Metric-by-Metric View
| Model | Score | |
|---|---|---|
| MetaNova-Test | 25.37% | █████░░░░░░░ |
| MetaNova-0.1-BF16 | 27.40% | █████░░░░░░░ |
| Supra-50M-Base | 31.65% | ██████░░░░░░ |
| Model | Score | |
|---|---|---|
| MetaNova-Test | 26.89% | █████░░░░░░░ |
| MetaNova-0.1-BF16 | 31.73% | ██████░░░░░░ |
| Supra-50M-Base | 45.58% | █████████░░░ |
| Model | Score | |
|---|---|---|
| MetaNova-Test | 25.09% | █████░░░░░░░ |
| MetaNova-0.1-BF16 | 25.00% | █████░░░░░░░ |
| Supra-50M-Base | 24.66% | █████░░░░░░░ |
| Model | Score | |
|---|---|---|
| MetaNova-Test | 52.29% | ██████████░░ |
| MetaNova-0.1-BF16 | 58.54% | ████████████ |
| Supra-50M-Base | 61.53% | ████████████ |
| Model | Score | |
|---|---|---|
| MetaNova-Test | 24.12% | █████░░░░░░░ |
| MetaNova-0.1-BF16 | 27.12% | █████░░░░░░░ |
| Supra-50M-Base | 26.08% | █████░░░░░░░ |
| Metric | MetaNova-Test | MetaNova-0.1-BF16 | Supra-50M-Base |
|---|---|---|---|
| ARC Avg | 25.99% | 28.37% | 35.12% |
| Final Avg | 31.94% | 35.36% | 38.60% |
🧠 THINKING Chat Format
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🔵 blue = user / assistant content • 🔴 red = mode switch + reasoning block
🧾 Run Summary
| Model | WhirlwindAI/MetaNova-0.1-70M |
| Model size | 70.5M params |
| Tensor type | BF16 |
| Downloads last month | 16 |
| Models compared | 3 |
| Benchmarks | HellaSwag · ARC-Easy · ARC-Challenge · PIQA · ArithMark-2 · ARC Avg · Final Avg |
| Parameter range | 51.79M – 70.55M |
| Final Avg range | 31.94% – 38.60% |
| Top Final Avg | SupraLabs/Supra-50M-Base — 38.60% |
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WhirlwindAI · 2026