falcon_1b_stage1: benchmark results
euclaise’s first-stage fine-tune of Falcon-RW-1B. The public card identifies the base checkpoint and training settings but leaves the training dataset unspecified. Provider: euclaise. Access: Open.
Aggregate Rating 1133 ± 15, rank #10269 of 10916 rated models, from 68 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| MMLU-by-task - Abstract Algebra | 32 | Accuracy (%) | 68.1 |
| MMLU-by-task - High School Physics | 28.48 | Accuracy (%) | 39.1 |
| MMLU-by-task - Formal Logic | 27.78 | Accuracy (%) | 38.2 |
| MMLU-by-task - Elementary Mathematics | 26.72 | Accuracy (%) | 36.2 |
| MMLU-by-task - Machine Learning | 29.46 | Accuracy (%) | 35.2 |
| MMLU-by-task - College Physics | 22.55 | Accuracy (%) | 34.3 |
| MMLU-by-task - High School European History | 29.7 | Accuracy (%) | 32.8 |
| MMLU-by-task - High School US History | 28.92 | Accuracy (%) | 32 |
| MMLU-by-task - Business Ethics | 32 | Accuracy (%) | 30.8 |
| MMLU-by-task - Global Facts | 30 | Accuracy (%) | 30 |
| MMLU-by-task - Computer Security | 32 | Accuracy (%) | 29.1 |
| MMLU-by-task - Marketing | 29.91 | Accuracy (%) | 28.9 |
Interactive version: theaggregate.ai/model?slug=falcon-1b-stage1 · How It Works · Data refreshed daily, snapshot 2026-11-08.