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Gemma 2B
About Gemma 2B
Gemma 2B is an AI model developed by Google DeepMind, in the language category, released in 2024, made available as an open-weights model with 2.5B params.
On this page you'll find Gemma 2B's full specifications, including 11 benchmark results. Review provider pricing and benchmark scores below, or compare Gemma 2B head-to-head with other language models.
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Run Gemma 2B locally — what to buy
Share this build ↗Sized to what Gemma 2B 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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Gemma 2B benchmark scores▶
| Benchmark | Category | Score | Variant |
|---|---|---|---|
| HumanEval | code | 22% | cited-qwen2 |
| MBPP | code | 29.2% | cited-qwen2 |
| MMLU | general | 42.3% | cited-qwen2 |
| MMLU-Pro | general | 15.9% | cited-qwen2 |
| ARC-Challenge | knowledge | 48.5 | cited-qwen2 |
| GSM8K | math | 17.7% | cited-qwen2 |
| MATH | math | 11.8% | cited-qwen2 |
| BIG-Bench Hard | reasoning | 35.2% | cited-qwen2 |
| HellaSwag | reasoning | 71.4 | cited-qwen2 |
| Winogrande | reasoning | 66.8 | cited-qwen2 |
| TruthfulQA | safety | 33.1% | cited-qwen2 |
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Frequently asked questions
What is Gemma 2B? ▶
Gemma 2B is an AI model developed by Google DeepMind, in the language category, released in 2024. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created Gemma 2B? ▶
Gemma 2B was developed by Google DeepMind and released in 2024.
Is Gemma 2B open source or proprietary? ▶
Gemma 2B 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 Gemma 2B cost? ▶
Pricing for Gemma 2B depends on the provider. See the providers table on this page for the latest API rates.
How does Gemma 2B perform on benchmarks? ▶
Gemma 2B is benchmarked across 11 evaluations on GenAIList, including HumanEval (22%). See the full benchmark table below and compare it with other models.
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