UO
University of Cambridge
Language model · China ·May 2024

MetaMath 70B

Language Open (Restricted)
70B
Parameters

About MetaMath 70B

MetaMath 70B is an AI model developed by University of Cambridge, in the language category, released in 2024, made available as an open-weights model with 70B params.

On this page you'll find MetaMath 70B's full specifications. Review provider pricing and benchmark scores below, or compare MetaMath 70B head-to-head with other language models.

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Sized to what MetaMath 70B 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 MetaMath 70B?

MetaMath 70B is an AI model developed by University of Cambridge, in the language category, released in 2024. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created MetaMath 70B?

MetaMath 70B was developed by University of Cambridge and released in 2024.

Is MetaMath 70B open source or proprietary?

MetaMath 70B 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 MetaMath 70B cost?

Pricing for MetaMath 70B depends on the provider. See the providers table on this page for the latest API rates.

How does MetaMath 70B perform on benchmarks?

Benchmark scores for MetaMath 70B 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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