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High Open Source Models · 1 min read

Gemma 2: Google's second-gen open model with Gemini distillation

In one sentence Google releases Gemma 2 (9B and 27B), a second-gen open family with Gemini-derived architecture, soft attention capping, knowledge distillation, and class-leading performance in the <30B range.

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Google releases the second generation of its open Gemma family, after February's first. Two sizes: 9 billion and 27 billion parameters, both free to download.

The new trick: instead of training them from scratch, they used "distillation." A much bigger model (an internal Gemini) acted as a "teacher" for Gemma 2, which learned from it directly rather than only from raw data.

Result: Gemma 2 27B beats Llama 3 70B on many benchmarks while being less than half the size.

Companies

Google, Google DeepMind

Tools

Gemma 2, Gemma 2 9B, Gemma 2 27B

Tags

GoogleGemma 2Open SourceDistillationSoft Capping

Sources