Model card
ConvNeXt V2 Tiny.
Metaopen-source28M paramsCNNMIT
83.0% on ImageNet. Lightweight variant.
§ 02 · Benchmarks
Every benchmark ConvNeXt V2 Tiny has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | ImageNet-1K | Computer Vision · Image Classification | top-1-accuracy | 83.0% | #14 | — | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Strengths by area
Where ConvNeXt V2 Tiny actually performs.
§ 05 · Related models
Other Meta models scored on Codesota.
Llama 4 Maverick
400B total / 17B active (128 experts) params · 15 results
Llama 3.1 405B
13 results
Llama 3 70B
11 results
Llama 3 (405B, Instruct)
9 results
Llama-3.2-1B-Instruct
9 results
Llama-3.2-3B-Instruct
9 results
Llama-4-Scout
109B total / 17B active (16 experts) params · 9 results
Meta-Llama-3.1-405B-Instruct
9 results
§ 06 · Sources & freshness
Where these numbers come from.
meta-research
1
result
0 of 1 rows marked verified.