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DNABERT
About DNABERT
DNABERT is an AI model developed by Northeastern University, in the language category, released in 2021, made available as an open-weights model with 0.1B params.
On this page you'll find DNABERT's full specifications. Review provider pricing and benchmark scores below, or compare DNABERT head-to-head with other language models.
Links
Run DNABERT locally — what to buy
Share this build ↗Sized to what DNABERT 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 DNABERT? ▶
DNABERT is an AI model developed by Northeastern University, in the language category, released in 2021. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created DNABERT? ▶
DNABERT was developed by Northeastern University and released in 2021.
Is DNABERT open source or proprietary? ▶
DNABERT 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 DNABERT cost? ▶
Pricing for DNABERT depends on the provider. See the providers table on this page for the latest API rates.
How does DNABERT perform on benchmarks? ▶
Benchmark scores for DNABERT 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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