Shanghai AI Laboratory·released 2023-07-051 source
internlm-7b benchmark scores: 7 benchmarks tracked. 0% of its scores are independently reproduced — the rest are self-reported or unverified.
Leads on 0 of 7 benchmarks·best result 67 on LAMBADA (self-reported)·0 of 7 independently reproduced
| Benchmark | Score | Evidence status | Measured |
|---|---|---|---|
| LAMBADA | 67accuracy (%) | self-reported· optimizedT1 | 2023-07-05Qwen Technical Report |
| HellaSwag | 60.8accuracy (%) | self-reported· optimizedT1 | 2023-07-05Qwen Technical Report |
| ARC AI2 | 59.33accuracy (%) | self-reported· optimizedT1 | 2023-07-05Qwen Technical Report |
| PIQA | 55.8accuracy (%) | self-reported· optimizedT1 | 2023-07-05Qwen Technical Report |
| MMLU | 34.67accuracy (%) | self-reported· optimizedT1 | 2023-07-05Qwen Technical Report |
| GSM8K | 31.2accuracy (%) | self-reported· optimizedT1 | 2023-07-05Qwen Technical Report |
| BBH | 16accuracy (%) | self-reported· optimizedT1 | 2023-07-05Qwen Technical Report |
Claims drawn from cited facts, not live model generation.
This model was developed by Shanghai AI Laboratory and released in 2023.
2 cited facts
7 tracked scores is a modest base — enough for a rough profile, short of a settled read. Leads nothing at present — a snapshot of table tops that the next round of scores can change, and no ranking of what sits beneath them. However, these scores are self-reported, meaning they are vendor-claimed and not yet independently confirmed; therefore, they should be read as claims rather than verified results.
3 cited facts
The model trails the state-of-the-art leader by an average of 40.47 points, a wide gap that places it well behind the leading models.
1 cited fact
1 facts cross-checked across data sources: 1 single-source.
Source facts, citations, and refresh stamp for this record.
Sources: epoch_benchmarks
internlm-7b is an AI model developed by Shanghai AI Laboratory, released 2023-07-05. Its benchmark record below tags every score as independently reproduced, self-reported, or unverified.
internlm-7b has recorded scores on 7 benchmarks, each shown with its evidence status.
internlm-7b has recorded scores on 7 benchmarks — PIQA, MMLU, ARC AI2, BBH, GSM8K, HellaSwag, and 1 more. The full table above shows each score with its evidence status.
0 of 7 recorded scores (0%) are independently reproduced rather than self-reported by the lab.
internlm-7b has 7 tracked claims: 7 self-reported.