SU
Stanford University
Language model · United States ·Feb 2023

Hyena-2 153M

Language Open (Restricted)
153M
Parameters

About Hyena-2 153M

Hyena-2 153M is an AI model developed by Stanford University, in the language category, released in 2023, made available as an open-weights model with 0.2B params.

On this page you'll find Hyena-2 153M's full specifications. Review provider pricing and benchmark scores below, or compare Hyena-2 153M head-to-head with other language models.

Links

Run Hyena-2 153M locally — what to buy

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Sized to what Hyena-2 153M 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 Hyena-2 153M?

Hyena-2 153M is an AI model developed by Stanford University, in the language category, released in 2023. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Hyena-2 153M?

Hyena-2 153M was developed by Stanford University and released in 2023.

Is Hyena-2 153M open source or proprietary?

Hyena-2 153M 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 Hyena-2 153M cost?

Pricing for Hyena-2 153M depends on the provider. See the providers table on this page for the latest API rates.

How does Hyena-2 153M perform on benchmarks?

Benchmark scores for Hyena-2 153M 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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