TinyBert

Language Open (Restricted)
67M
Parameters

About TinyBert

TinyBert is an AI model developed by Huazhong University of Science and Technology, in the language category, released in 2020, made available as an open-weights model with 0.1B params.

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

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Run TinyBert locally — what to buy

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Sized to what TinyBert 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 TinyBert?

TinyBert is an AI model developed by Huazhong University of Science and Technology, in the language category, released in 2020. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created TinyBert?

TinyBert was developed by Huazhong University of Science and Technology and released in 2020.

Is TinyBert open source or proprietary?

TinyBert 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 TinyBert cost?

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

How does TinyBert perform on benchmarks?

Benchmark scores for TinyBert 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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