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tensor.news grades benchmarks and tags model claims by evidence status. Every fact carries a source record and provenance. Scores are framed as task performance under a disclosed harness, never as deployed capability.

← Models

internlm-7b

Shanghai AI Laboratory·released 2023-07-05

self-reported

Scored on 7 benchmarks. 0% of its scores are independently reproduced — the rest are self-reported or unverified.

7
Benchmarks scored
0
SOTA leads
67
Best score
0%
Reproduced
0 of 7

Benchmark fingerprint

Every score, ranked, colored by evidence status.

  • LAMBADA
    67
  • HellaSwag
    60.8
  • ARC AI2
    59.33
  • PIQA
    55.8
  • MMLU
    34.67
  • GSM8K
    31.2
  • BBH
    16

All benchmark scores

BenchmarkScoreEvidence statusMeasured
LAMBADA67accuracy (%)self-reported· optimized2023-07-05
HellaSwag60.8accuracy (%)self-reported· optimized2023-07-05
ARC AI259.33accuracy (%)self-reported· optimized2023-07-05
PIQA55.8accuracy (%)self-reported· optimized2023-07-05
MMLU34.67accuracy (%)self-reported· optimized2023-07-05
GSM8K31.2accuracy (%)self-reported· optimized2023-07-05
BBH16accuracy (%)self-reported· optimized2023-07-05
7 source records · epoch_benchmarks. Every score is evidence-linked.

Follow the record

More from Shanghai AI Laboratory

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