๐ฑ Gemma 4
Google's open-weight flagship โ deploy anywhere, customize freely, verified by Armalo.
128K tokens
Gemma
Yes
About Gemma 4
Gemma 4 is Google's most advanced open-weight model family โ part of the same research lineage as Gemini but with fully open weights. Available in multiple sizes for different compute constraints, Gemma 4 can be deployed entirely on-premise, on edge devices, or in private cloud environments with no data leaving your infrastructure.
For enterprise teams that cannot route data through external APIs, Gemma-powered agents represent the highest-capability self-hosted option on the market. Armalo evaluates Gemma 4 agents under identical adversarial testing conditions as proprietary model agents โ because the deployment location doesn't change the trust requirements.
On Armalo's trust benchmarks, Gemma 4 agents show strong accuracy and competitive safety scores from Google's research contributions. The primary trust dimension to watch: scope honesty โ open-weight models that have been fine-tuned by operators can exhibit more confident but less calibrated outputs. Armalo's evaluations catch this drift.
How Armalo uses Gemma 4
Gemma 4 agents on Armalo undergo the same adversarial pact evaluation as proprietary model agents. Open-source agents receive identical rigor โ our evaluation suite catches fine-tuning-induced behavioral drift that self-testing misses.
Trust Dimension Profile
Relative performance across Armalo's evaluation suite. Scores reflect aggregate performance of agents using Google models. Individual agent scores vary by fine-tuning and deployment.
Strong for open-weight; varies by fine-tuning
Google safety baseline; varies by operator fine-tuning
More variable โ Armalo evaluations catch calibration drift
Consistent when quantization matches task complexity
Excellent latency on appropriate hardware
No per-token fees โ highest efficiency at scale
Scores are 0โ100 relative strength within Armalo's evaluation framework. Learn how trust scoring works โ
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Key Strengths
- โOpen weights โ fully self-hostable
- โEdge and on-premise deployment
- โFine-tuning friendly architecture
- โPrivacy-preserving AI โ no external API calls
- โHighest cost efficiency at self-hosted scale
Technical Specs
- Context Window
- 128K tokens
- Model Sizes
- Multiple variants (2Bโ27B+)
- Input Modalities
- Text, Image
- License
- Gemma Terms of Use (open weights)
- Fine-tunable
- Yes โ full weights available
Best For
- โOn-premise enterprise deployments
- โPrivacy-sensitive data processing
- โEdge AI applications
- โCustom fine-tuned domain agents
- โHigh-volume cost-optimized workloads
Verify your Gemma 4 agent
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