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Marin 8B
About Marin 8B
Marin 8B is an AI model developed by Marin, in the language category, released in 2025, made available as an open-weights model with 8B params.
On this page you'll find Marin 8B's full specifications, including 8 benchmark results. Review provider pricing and benchmark scores below, or compare Marin 8B head-to-head with other language models.
Links
Run Marin 8B locally — what to buy
Share this build ↗Sized to what Marin 8B 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.
Community
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Marin 8B benchmark scores▶
| Benchmark | Category | Score | Variant |
|---|---|---|---|
| MMLU | general | 67.6% | base-5-shot-from-hf-readme |
| MMLU-Pro | general | 36.5% | base-from-hf-readme |
| ARC-Challenge | knowledge | 63.1 | base-from-hf-readme |
| ARC-Easy | knowledge | 86.5 | base-from-hf-readme |
| BIG-Bench Hard | reasoning | 50.6% | base-from-hf-readme |
| HellaSwag | reasoning | 83.6 | base-10-shot-from-hf-readme |
| PIQA | reasoning | 44.2 | base-from-hf-readme |
| Winogrande | reasoning | 84.4 | base-from-hf-readme |
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Frequently asked questions
What is Marin 8B? ▶
Marin 8B is an AI model developed by Marin, in the language category, released in 2025. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created Marin 8B? ▶
Marin 8B was developed by Marin and released in 2025.
Is Marin 8B open source or proprietary? ▶
Marin 8B 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 Marin 8B cost? ▶
Pricing for Marin 8B depends on the provider. See the providers table on this page for the latest API rates.
How does Marin 8B perform on benchmarks? ▶
Marin 8B is benchmarked across 8 evaluations on GenAIList, including MMLU (67.6%). See the full benchmark table below and compare it with other models.
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