UU
Utrecht University
Language model · Germany ·Jan 2023

DDPM-IP (CelebA)

Language Open (Restricted)
295M
Parameters

About DDPM-IP (CelebA)

DDPM-IP (CelebA) is an AI model developed by Utrecht University, in the language category, released in 2023, made available as an open-weights model with 0.3B params.

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

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Sized to what DDPM-IP (CelebA) 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 DDPM-IP (CelebA)?

DDPM-IP (CelebA) is an AI model developed by Utrecht University, in the language category, released in 2023. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created DDPM-IP (CelebA)?

DDPM-IP (CelebA) was developed by Utrecht University and released in 2023.

Is DDPM-IP (CelebA) open source or proprietary?

DDPM-IP (CelebA) 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 DDPM-IP (CelebA) cost?

Pricing for DDPM-IP (CelebA) depends on the provider. See the providers table on this page for the latest API rates.

How does DDPM-IP (CelebA) perform on benchmarks?

Benchmark scores for DDPM-IP (CelebA) 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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