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.
Developed by Shanghai AI Laboratory, this model is a compact 7-billion-parameter system released in 2023, making it relatively efficient and inexpensive to run, though with less headroom than larger models.
3 cited facts
This model is scored on seven tracked benchmarks. It currently holds no top score on any of them. Because the reported record is self-reported, treat these numbers as vendor claims rather than independently verified results.
3 cited facts
Based on an average SOTA gap of 40.47 points, this model trails the benchmark leaders by a wide margin, placing it well behind the front of the pack. It holds the top score on none of the benchmark leaderboards, meaning it has not achieved genuine category leadership on any measured task.
2 cited facts
2 facts cross-checked across data sources: 2 single-source.
Source facts, citations, and refresh stamp for this record.
Sources: curated_param_counts, 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.