ALBERT

Language Open (Restricted)
18M
Parameters

About ALBERT

ALBERT is an AI model developed by Toyota Technological Institute at Chicago, in the language category, released in 2019, made available as an open-weights model with 0B params.

On this page you'll find ALBERT's full specifications. Review provider pricing and benchmark scores below, or compare ALBERT head-to-head with other language models.

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Run ALBERT locally — what to buy

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Sized to what ALBERT 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 ALBERT?

ALBERT is an AI model developed by Toyota Technological Institute at Chicago, in the language category, released in 2019. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created ALBERT?

ALBERT was developed by Toyota Technological Institute at Chicago and released in 2019.

Is ALBERT open source or proprietary?

ALBERT 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 ALBERT cost?

Pricing for ALBERT depends on the provider. See the providers table on this page for the latest API rates.

How does ALBERT perform on benchmarks?

Benchmark scores for ALBERT 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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