UO
University of Cambridge
Language model · China ·May 2024

MetaMath 7B (Mistral finetune)

Language Open (Restricted)
7B
Parameters

About MetaMath 7B (Mistral finetune)

MetaMath 7B (Mistral finetune) is an AI model developed by University of Cambridge, in the language category, released in 2024, made available as an open-weights model with 7B params.

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

→ More models by University of Cambridge → All language models → AI benchmarks leaderboard

Links

Announcement ↗ Hugging Face ↗

Run MetaMath 7B (Mistral finetune) locally — what to buy

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Sized to what MetaMath 7B (Mistral finetune) 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.

Good
Intel Arc B580 12GB
Consumer GPU · ~$249
~83.8 tok/s
Q4 · fits full context · up to 8k ctx
Runs with: ExLlamaV2, KoboldCpp, LM Studio
See full estimate →
Better
Intel Arc A770 16GB
Consumer GPU · ~$329
~102.9 tok/s
Q4 · fits full context · up to 8k ctx
Runs with: ExLlamaV2, KoboldCpp, LM Studio
See full estimate →
Best
AMD Radeon RX 7800 XT
Consumer GPU · ~$499
~120 tok/s
Q4 · fits full context · up to 8k ctx
Runs with: ExLlamaV2, KoboldCpp, LM Studio
See full estimate →

Software support

·ExLlamaV2 ·KoboldCpp ·LM Studio ·MLX ·Ollama ·SGLang ·TensorRT-LLM ·llama.cpp ·vLLM ?KTransformers ?text-generation-webui

✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.

Consumer GPU
41.1–120+ tok/s
32 options →
Apple
24.9–120+ tok/s
18 options →
Datacenter GPU
120+ tok/s
13 options →

Community

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Frequently asked questions

What is MetaMath 7B (Mistral finetune)? ▶

MetaMath 7B (Mistral finetune) 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 7B (Mistral finetune)? ▶

MetaMath 7B (Mistral finetune) was developed by University of Cambridge and released in 2024.

Is MetaMath 7B (Mistral finetune) open source or proprietary? ▶

MetaMath 7B (Mistral finetune) 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 7B (Mistral finetune) cost? ▶

Pricing for MetaMath 7B (Mistral finetune) depends on the provider. See the providers table on this page for the latest API rates.

How does MetaMath 7B (Mistral finetune) perform on benchmarks? ▶

Benchmark scores for MetaMath 7B (Mistral finetune) 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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