// COMPARISON

BASIC-L

A head-to-head benchmark comparison of BASIC-L across 0 evaluations.

The models

Vision Proprietary
Params
3.1B
Context
β€”
Released
Nov 2021

We present a combined scaling method - named BASIC - that achieves 85.7% top-1 accuracy on the ImageNet ILSVRC-2012 validation set without learning from any lab.

Full BASIC-L specs β†’

Benchmark comparison

No shared benchmark scores found for these models yet.

Frequently asked questions

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This comparison covers 0 benchmarks on which at least one of the selected models has a published score.

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Scores are aggregated from official model cards, technical reports and standard public evaluations, and link back to each benchmark's source. They are updated as new results are published.

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