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Gemma 2 9B

Google · open weight · gemma-2-9b-it

Gemma 2 9B IT is an instruction-tuned version of Google's Gemma 2 9B base model. It was trained on 8 trillion tokens of web data, code, and math content. The model features sliding window attention, logit soft-capping, and knowledge distillation techniques. It's optimized for dialogue applications through supervised fine-tuning, distillation, RLHF, and model merging using WARP.

MMLUHumanEvalMATH

Benchmark scores

BenchmarkScore
MMLU0.71
HumanEval0.40
MATH0.37

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AA metrics

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Arena Elo

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Gemma 2 9B Benchmarks · all the models