internlm2-chat-7B: benchmark results
Shanghai AI Lab's 7B InternLM2 chat model (January 2024) with 200K context. Provider: Shanghai AI Lab. Released 2024-01-17. Access: Open.
Aggregate Rating 1426 ± 14, rank #1121 of 1656 rated models, from 167 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| OpenCompass Language - Content Summarization - Chinese (CompassBench 2405) | 31 | Score (%) | 97.4 |
| OpenCompass Language - Sentiment Analysis - Chinese (CompassBench 2405) | 89.3 | Score (%) | 96.1 |
| SALAD-Bench Base | 97.7 | Safety Score (%) | 93.9 |
| OpenCompass Language - Content Summarization - English (CompassBench 2405) | 37.8 | Score (%) | 92.1 |
| Open CoT - LSAT Reading Comprehension | 21.56 | CoT Gain (%) | 91.6 |
| OpenCompass Subjective - Creation (CompassBench 2404) | 50.6 | Score (%) | 88 |
| OpenCompass Language - Intention Recognition - Chinese (CompassBench 2405) | 70.3 | Score (%) | 84.2 |
| OpenCompass Reasoning - Deductive - English (CompassBench 2405) | 20.9 | Score (%) | 82.9 |
| Open Chinese LLM - WinoGrande | 67.4 | Accuracy (%) | 82.5 |
| Open CoT - LSAT Logical Reasoning | 17.45 | CoT Gain (%) | 81.7 |
| Open CoT Leaderboard | 11.89 | Average CoT Gain (%) | 79.4 |
| Open CoT - LSAT Analytical Reasoning | 6.09 | CoT Gain (%) | 76.7 |
Interactive version: theaggregate.ai/model?slug=internlm2-chat-7b · How It Works · Data refreshed daily, snapshot 2026-10-20.