inference/research
verifiedhigh · 0.92updated 2026-10-03

Gemma 3 Technical Report

paper

Fields

id
sources/arch-gemma3
Publisher
Google DeepMind (arXiv)
Kind
paper
Published
2025-03-25
Accessed
2026-10-03
notes
Section 3: 'we interleave multiple local layers between each global layer, and assign a smaller span of only 1024 tokens to the local layers. Therefore, only the global layers attend to long context, and we have 1 global for every 5 local layers.' Local:Global 1:1 was Gemma 2; 5:1 is Gemma 3. Section 5.2 measured KV-cache effect at 32k context: 'global only' gives 60% memory overhead, reduced to less than 15% with 1:3 and sliding window 1024. Abations show perplexity is insensitive to the ratio down to 7:1 and to window size.

Notes

Section 3: 'we interleave multiple local layers between each global layer, and assign a smaller span of only 1024 tokens to the local layers. Therefore, only the global layers attend to long context, and we have 1 global for every 5 local layers.' Local:Global 1:1 was Gemma 2; 5:1 is Gemma 3. Section 5.2 measured KV-cache effect at 32k context: 'global only' gives 60% memory overhead, reduced to less than 15% with 1:3 and sliding window 1024. Abations show perplexity is insensitive to the ratio down to 7:1 and to window size.

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