Google DeepMind•Language & MultimodalOpen Weights
Gemma 2 27B
Lightweight, state-of-the-art open model engineered with knowledge distillation from larger Gemini models.
Technical Specification Matrix
Parameters27.2 Billion Dense
Context Window8,192 tokens
Access ModelOpen Weights
LicenseGemma Terms of Use (Open Weights)
Release DateJune 2024
Author LabGoogle DeepMind
Architecture & Engineering Overview
Underlying Neural Architecture
Dense Transformer with Alternating Local/Global Attention
Editorial Analysis
Google's Gemma 2 27B delivers competitive performance against models more than twice its size. It utilizes local-global sliding window attention and logit soft-capping for high inference efficiency on modern workstation GPUs.
Verified Core Competencies
Distilled from Frontier Gemini
Runs on Single Consumer GPU
Permissive Commercial Research
Logit Soft-capping Stability
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