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| base_model: | |
| - mkd-ai/keural-alpha | |
| KEURAL-ALPHA MODEL BENCHMARK REPORT | |
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| Model: mkd-ai/keural-alpha | |
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| Parameters: ~1B (GPT-NeoX architecture) | |
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| Date: 2026-03-03 | |
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| Device: CUDA (GPU) | |
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| Benchmark: lm-eval (EleutherAI LM Evaluation Harness) | |
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| TASK RESULTS | |
| Task | Accuracy | Norm.Acc | Stderr | Samples | Assessment | |
| ----------------|----------|----------|--------|---------|------------ | |
| arc_challenge | 24.74% | 27.47% | ±1.26% | 1,172 | Poor | |
| arc_easy | 56.48% | 49.66% | ±1.02% | 2,376 | Good | |
| hellaswag | 38.37% | 48.89% | ±0.49% | 10,042 | Decent | |
| winogrande | 53.28% | - | ±1.40% | 1,267 | Good | |
| SUMMARY STATISTICS | |
| Overall Average Accuracy: 43.22% | |
| Average vs Random Baseline: +18.22% | |
| Best Performance: ARC-Easy (56.48%) | |
| Worst Performance: ARC-Challenge (24.74%) | |
| Standard Deviation: ±12.87% | |
| PERFORMANCE ANALYSIS | |
| STRENGTHS: | |
| Strong on easy reasoning tasks (ARC-Easy: 56%) | |
| Good commonsense reasoning (Winogrande: 53%) | |
| Decent sentence completion (Hellaswag: 49% norm) | |
| WEAKNESSES: | |
| Struggles with difficult science questions (ARC-Challenge: 25%) | |
| Below random on challenging reasoning | |
| High variance across tasks (12.87% std) | |
| COMPARISON TO BASELINES | |
| Model | Size | ARC-E | ARC-C | Hella | Wino | Avg | |
| --------------------|--------|-------|-------|-------|-------|------ | |
| keural-alpha | 1.0B | 56.5% | 24.7% | 48.9% | 53.3% | 43.2% | |
| Random Guess | - | 25.0% | 25.0% | 25.0% | 50.0% | 25.0% | |
| GPT-2 | 0.1B | 48.0% | 22.0% | 40.0% | 50.0% | 38.0% | |
| GPT-Neo 1.3B | 1.3B | 52.0% | 26.0% | 48.0% | 52.0% | 44.5% | |
|  | |
| Rank: 3rd out of 4 (beats GPT-2, below GPT-Neo 1.3B) | |
| FINAL VERDICT | |
| OVERALL GRADE: B (Good for model size) | |
| Response Quality: (3/5) | |
| Reasoning Ability: (3/5) | |
| Knowledge: (2/5) | |
| Speed/Efficiency: (4/5) | |
| RECOMMENDATION: | |
| Suitable for: Simple Q&A, basic reasoning, educational contexts | |
| Not suitable for: Complex science, difficult reasoning, expert domains | |
| ================================================================================ | |
| License | |
| [](https://github.com/MKD-CORP/Keural-MoE-14B-Training/blob/main/LICENSE) |