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AraBERT LArge v2
About AraBERT LArge v2
AraBERT LArge v2 is an AI model developed by American University of Beirut, in the language category, released in 2020, made available as an open-weights model with 0.4B params.
On this page you'll find AraBERT LArge v2's full specifications. Review provider pricing and benchmark scores below, or compare AraBERT LArge v2 head-to-head with other language models.
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Run AraBERT LArge v2 locally — what to buy
Share this build ↗Sized to what AraBERT LArge v2 actually needs (~8k context at Q4), not to the biggest GPU: Good = cheapest that runs it, Better = best value, Best = most headroom. Speed is a hardware estimate; anything past ~120 tok/s is shown as instant.
Software support
✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.
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Frequently asked questions
What is AraBERT LArge v2? ▶
AraBERT LArge v2 is an AI model developed by American University of Beirut, in the language category, released in 2020. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created AraBERT LArge v2? ▶
AraBERT LArge v2 was developed by American University of Beirut and released in 2020.
Is AraBERT LArge v2 open source or proprietary? ▶
AraBERT LArge v2 ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.
How much does AraBERT LArge v2 cost? ▶
Pricing for AraBERT LArge v2 depends on the provider. See the providers table on this page for the latest API rates.
How does AraBERT LArge v2 perform on benchmarks? ▶
Benchmark scores for AraBERT LArge v2 are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.
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