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SAVRN Model Hub · Comparisons

bert-base-arabertv02 vs ModernBERT-base

Bert-base-arabertv02 has 136M parameters and ModernBERT-base has 150M parameters; at 16-bit, bert-base-arabertv02 needs about 0.3 GB (1x MI300X from $1.85 an hour) and ModernBERT-base about 0.4 GB (1x MI300X from $1.85 an hour).

Published metadata for 2 models, each read from its own repository.
Field bert-base-arabertv02
aubmindlab/bert-base-arabertv02
ModernBERT-base
answerdotai/ModernBERT-base
Publisher AUB MIND LAB Answer.AI
Task Fill mask Fill mask
Modality Text Text
Parameters, as reported 136M parameters 150M parameters
Architecture BertForMaskedLM ModernBertForMaskedLM
Library transformers transformers
Context length 512 tokens 8,192 tokens
Repository size 3.0 GB 3.1 GB
Artifact formats safetensors, pytorch, tensorboard, jax, tf safetensors, onnx, pytorch
License Not stated apache-2.0
Access Open weights, no gate Open weights, no gate
Memory at 16-bit (weights and margin) 0.3 GB 0.4 GB
Cheapest GPUs at 16-bit, per hour 1x MI300X, $1.85 1x MI300X, $1.85
Memory at 4-bit (weights and margin) 0.1 GB 0.1 GB
Cheapest GPUs at 4-bit, per hour 1x MI300X, $1.85 1x MI300X, $1.85
Revision viewed 016fb9d6768f 8949b909ec90
Downloads reported by the hub 567.2k 4.5M
Last observed 2026-09-18 2026-09-18

An evaluation row appears only where at least two of these models report the same benchmark with the same stated configuration, metric, unit and setup. Different evaluators stay named in each cell. Values are shown as reported: no unit conversion, no ranking.

Questions

Which is larger, bert-base-arabertv02 or ModernBERT-base?

ModernBERT-base (150M parameters) is larger than bert-base-arabertv02 (136M parameters), by the parameter counts their publishers report.

Which is cheaper to run, bert-base-arabertv02 or ModernBERT-base?

At 4-bit, bert-base-arabertv02 fits on 1x MI300X from $1.85 an hour and ModernBERT-base on 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.

Can I use ModernBERT-base commercially?

Yes. ModernBERT-base is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.

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