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Gemma 3 270M

Google DeepMind · 2025-08-14 · 268M parameters

Gemma 3 270M is Google's compact, text-only, open-weight pretrained Gemma 3 checkpoint, released in August 2025 alongside a separate instruction-tuned variant for task-specific fine-tuning and on-device use. Google describes roughly 270 million parameters—about 170 million in embeddings for its 256K-token vocabulary and 100 million in transformer blocks—and highlights uses such as classification, entity extraction, routing, and structured-text processing.

Benchmark scores

BenchmarkScore
AA-LCR0.0
AA-Omniscience Index-31.3
AIME 20252.3
Artificial Analysis Intelligence Index2.4
Artificial Analysis Omniscience Accuracy0.9
Artificial Analysis Omniscience Hallucination Rate32.5
Artificial Analysis Openness Index44.4
Capability68.4
CritPt0.0
Global PIQA - Non-Parallel (Log-Likelihood Accuracy)49.8
Global PIQA - Parallel (Log-Likelihood Accuracy)21.1
GPQA Diamond22.4
Humanity's Last Exam (Text-Only)4.2
IFBench (Artificial Analysis)12.1
LiveCodeBench (Artificial Analysis)0.3
MMLU Pro5.5
SciCode (Artificial Analysis)0.0
Terminal-Bench Hard0.0
τ²-bench (Telecom)9.1
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