internlm2-7B — benchmark results
Shanghai AI Lab's 7B InternLM2 base model (January 2024), notable for near-perfect needle-in-a-haystack retrieval at 200K-token context. Provider: Shanghai AI Lab. Released 2024-01-12. Access: Open.
Unified ELO 1402 ± 20, rank #1213 of 1776 rated models, from 25 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open Chinese LLM - WinoGrande | 70.01 | Accuracy (%) | 91.5 |
| Open LLM Leaderboard - GPQA | 11.56 | Score | 83.2 |
| Open LLM Leaderboard - BBH | 40.28 | Score | 79.3 |
| Open Chinese LLM - HellaSwag | 65.44 | Accuracy (%) | 78.9 |
| Open LLM Leaderboard - MuSR | 14.33 | Score | 78.4 |
| Open Chinese LLM Leaderboard | 59.83 | Average Score (%) | 69.7 |
| Open Chinese LLM - GSM8K | 49.66 | Accuracy (%) | 65.9 |
| Open Chinese LLM - ARC Challenge | 54.52 | Accuracy (%) | 65.7 |
| Open Chinese LLM - CMMLU | 57.52 | Accuracy (%) | 64.4 |
| Open Chinese LLM - C-Eval Semantic | 74.34 | Accuracy (%) | 63.5 |
| Open CoT - LSAT Analytical Reasoning | 4.78 | CoT Gain (%) | 63 |
| Open CoT - LSAT Reading Comprehension | 14.5 | CoT Gain (%) | 62.6 |
Interactive version: theaggregate.ai/model?slug=internlm2-7b · How the rankings work · Data refreshed daily, snapshot 2026-07-22.