PU
Princeton University
Language model · United States ·Oct 2023

Llemma 7B

Language Open (Restricted)
7B
Parameters

About Llemma 7B

Llemma 7B is an AI model developed by Princeton University, in the language category, released in 2023, made available as an open-weights model with 7B params.

On this page you'll find Llemma 7B's full specifications. Review provider pricing and benchmark scores below, or compare Llemma 7B head-to-head with other language models.

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Run Llemma 7B locally — what to buy

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Sized to what Llemma 7B 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 Llemma 7B?

Llemma 7B is an AI model developed by Princeton University, in the language category, released in 2023. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Llemma 7B?

Llemma 7B was developed by Princeton University and released in 2023.

Is Llemma 7B open source or proprietary?

Llemma 7B 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 Llemma 7B cost?

Pricing for Llemma 7B depends on the provider. See the providers table on this page for the latest API rates.

How does Llemma 7B perform on benchmarks?

Benchmark scores for Llemma 7B 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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