stablelm-base-alpha-7B: benchmark results
Stability AI's StableLM-Base-Alpha 7B, an auto-regressive NeoX-architecture model pretrained on roughly 1.5 trillion tokens of English text with a 4,096 context, later superseded by newer Stable LM releases. Provider: Stability AI. Released 2023-04-19. Access: Open.
Aggregate Rating 1147 ± 13, rank #1629 of 1656 rated models, from 83 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| MMLU-by-task - High School Physics | 34.44 | Accuracy (%) | 78.7 |
| MMLU-by-task - High School Mathematics | 29.26 | Accuracy (%) | 70.6 |
| MMLU-by-task - High School Statistics | 37.96 | Accuracy (%) | 48.7 |
| ToolBench - WebShop Long | 0 | Task Score | 44.2 |
| MMLU-by-task - Elementary Mathematics | 27.25 | Accuracy (%) | 41.4 |
| MMLU-by-task - College Chemistry | 30 | Accuracy (%) | 40.7 |
| MMLU-by-task - College Computer Science | 34 | Accuracy (%) | 39.6 |
| MMLU-by-task - Moral Scenarios | 24.58 | Accuracy (%) | 36.2 |
| MMLU-by-task - Electrical Engineering | 31.03 | Accuracy (%) | 34.2 |
| MMLU-by-task - Formal Logic | 26.19 | Accuracy (%) | 32.4 |
| MMLU-by-task - Security Studies | 34.69 | Accuracy (%) | 32 |
| MMLU-by-task - Management | 34.95 | Accuracy (%) | 31.4 |
Interactive version: theaggregate.ai/model?slug=stablelm-base-alpha-7b · How It Works · Data refreshed daily, snapshot 2026-10-20.