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Gemma 2 9B

Google
gemma-2-9b-itVariant

Overview

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.

Gemma 2 9B was released on June 27, 2024.

Performance

Timeline

Release DateUnknown
Knowledge CutoffUnknown

Other Details

Parameters
9.2B
License
Gemma
Training Data
Unknown
Tags
tuning:instruct

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Benchmarks

Gemma 2 9B Performance Across Datasets

Scores sourced from the model's scorecard, paper, or official blog posts

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Pricing

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Example Outputs

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API Access

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FAQ

Common questions about Gemma 2 9B

Gemma 2 9B was released on June 27, 2024.
Gemma 2 9B has 9.2 billion parameters.