AxForge
Sign in Get started

Model reference · open weights

shieldgemma

LLMs google Text gen 2 builds Open, with conditions 3k dl/mo

shieldgemma is an open-weight language model from Google. shieldgemma-2b (BF16) weighs 5.2 GB; the smallest configuration that runs it is RTX 3060 12 GB.

  • ShieldGemma is a series of safety content moderation models developed by Google, built upon the Gemma 2 architecture.
  • These text-to-text, decoder-only large language models are designed to classify text for four specific harm categories: sexually explicit content, dangerous content, hate, and harassment.
  • The 2B parameter version is available in English with open weights under the Gemma license.

Summary of the google/shieldgemma-2b model card, 2026-10-01

Hugging Face ↗GitHub ↗Paper ↗

What it is

Released byGoogle
Released2024-07-16
Parameters2.6B
VRAM5.2 GB for the weights

What it runs on

Memory and cards for shieldgemma-2b (BF16)

5.2 GBweights, file size
762 MBruntime overhead, at least

How much memory each request adds isn't estimated yet for this architecture. The weights need at least the cards below, plus room for the context.

CardWeights alone
RTX 3060 12 GBfits
RTX 4060 Ti 16 GBfits
RTX 3090 24 GBfits
RTX 4090 24 GBfits
RTX 5090 32 GBfits
L40S 48 GBfits
A100 80 GBfits
H100 80 GBfits
RTX PRO 6000 Blackwell 96 GBfits
DGX Spark (GB10) 128 GB unifiedfits
H200 141 GBfits
B200 180 GBfits

Builds

Sizes, precisions & builds

BuildParamsPrecisionWeightsSmallest setup
shieldgemma-2b (above) ↗ 2.6BBF16 5.2 GBRTX 3060 12 GB
shieldgemma-9b ↗ 9.2BBF16 18.5 GBRTX 4090 24 GB

How it works

How language models work

Your prompttext / messagesTransformerattention over tokensNext-token loopgenerate + streamResponsetext · tool callsA language model reads your tokens and predicts the next one, again and again, streaming the reply back.
© 2026 AxForge · EU-hosted AI infrastructure Pricing Docs Trust Privacy Terms