ALBERT-xxlarge

Language Open (Restricted)
235M
Parameters

About ALBERT-xxlarge

ALBERT-xxlarge is an AI model developed by Toyota Technological Institute at Chicago, in the language category, released in 2020, made available as an open-weights model with 0.2B params.

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

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Sized to what ALBERT-xxlarge 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-xxlarge?

ALBERT-xxlarge is an AI model developed by Toyota Technological Institute at Chicago, in the language category, released in 2020. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created ALBERT-xxlarge?

ALBERT-xxlarge was developed by Toyota Technological Institute at Chicago and released in 2020.

Is ALBERT-xxlarge open source or proprietary?

ALBERT-xxlarge 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-xxlarge cost?

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

How does ALBERT-xxlarge perform on benchmarks?

Benchmark scores for ALBERT-xxlarge 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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