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P-gemma
About P-gemma
P-gemma is an AI model developed by University of Siena, in the language category, released in 2024, made available as an open-weights model with 7B params.
On this page you'll find P-gemma's full specifications. Review provider pricing and benchmark scores below, or compare P-gemma head-to-head with other language models.
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Run P-gemma locally — what to buy
Share this build ↗Sized to what P-gemma 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 P-gemma? ▶
P-gemma is an AI model developed by University of Siena, in the language category, released in 2024. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created P-gemma? ▶
P-gemma was developed by University of Siena and released in 2024.
Is P-gemma open source or proprietary? ▶
P-gemma 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 P-gemma cost? ▶
Pricing for P-gemma depends on the provider. See the providers table on this page for the latest API rates.
How does P-gemma perform on benchmarks? ▶
Benchmark scores for P-gemma 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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