keural-alpha / README.md
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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%
![image](https://cdn-uploads.huggingface.co/production/uploads/6900130704aa28c84324eee9/IFRHlCXUfxzA_fAVVw7Mg.png)
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
[![License](https://img.shields.io/github/license/MKD-CORP/Keural-MoE-14B-Training)](https://github.com/MKD-CORP/Keural-MoE-14B-Training/blob/main/LICENSE)