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Google Gemma 2

Google's lightweight open models with logit soft-capping and sliding window attention

Models

In plain English

Google's fast, efficient open models (2B, 9B, 27B) engineered to fit into laptops and consumer GPUs without losing accuracy.

Technically

Google DeepMind's open model series (2B, 9B, 27B) featuring interleaved sliding window attention and global attention, logit soft-capping (preventing logit explosion), and post-norm KV projections. The 27B model fits cleanly in 4-bit on a single 24GB RTX 4090/3090.

Related terms

Sliding Window Attention (SWA)Qwen 2.5 Family

Lessons that use it

More in Models

DeepSeek-R1 & V3GLM-4 & GLM-4VQwen 2.5 Family