UO
University of Siena
Language model · Italy ·Aug 2024

P-Llama2

Language Open (Restricted)
7B
Parameters

About P-Llama2

P-Llama2 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-Llama2's full specifications. Review provider pricing and benchmark scores below, or compare P-Llama2 head-to-head with other language models.

Links

Run P-Llama2 locally — what to buy

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Sized to what P-Llama2 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-Llama2?

P-Llama2 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-Llama2?

P-Llama2 was developed by University of Siena and released in 2024.

Is P-Llama2 open source or proprietary?

P-Llama2 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-Llama2 cost?

Pricing for P-Llama2 depends on the provider. See the providers table on this page for the latest API rates.

How does P-Llama2 perform on benchmarks?

Benchmark scores for P-Llama2 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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