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Google Gemma

Google Gemma - Open-weights LLM family for self-hosting and fine-tuning. innFactory AI Rosenheim advises on GDPR-compliant Gemma deployment in the DACH region.

License Gemma Terms of Use
GDPR Hosting Available
Context 128k (4B+), 32k (1B/270M) Tokens
Modality Text, Image → Text

Versions

Overview of available model variants

ModelReleaseEUStrengthsWeaknessesStatus
Gemma 3 27B Recommended
2025
Current flagship Multimodal (text + image) 128K context
Hardware-intensive
Current
Gemma 3 12B
2025
Good balance Multimodal
Current
Gemma 3 4B
2025
Efficient Edge-capable
Current
Gemma 3 1B
2025
Very compact Mobile/Edge
Limited capabilities Text-only
Current
Gemma 3 270M
2025
Ultra-compact
Text-only Limited capabilities
Current
Gemma 2 27B
2024
Proven Broad support
Current
Gemma 2 9B
2024
Popular Good performance/size ratio
Current
Gemma 2 2B
2024
Compact On-device
Current

Use Cases

Typical applications for this model

GDPR-compliant self-hosting solutions
Data-sensitive applications
Custom fine-tuning
Edge and mobile deployment
RAG systems
Code generation
Multilingual applications
Research and development

Technical Details

API, features and capabilities

API & Availability
Availability Public (Open Weights)
Latency (TTFT) Depends on hosting
Throughput Depends on hardware Tokens/Sec
Features & Capabilities
Tool Use Function Calling Structured Output Vision File Upload
Training & Knowledge
Knowledge Cutoff 2024-12
Fine-Tuning Available (LoRA, QLoRA, Full Fine-Tuning, PEFT)
Language Support
Best Quality English, German, French, Spanish, Italian
Supported 140+ languages
Best quality in English, good quality in European languages

Hosting & Compliance

GDPR-compliant hosting options and licensing

GDPR-Compliant Hosting Options
Self-Hosted
Own Infrastructure
Full data control - recommended for sensitive data
Google Cloud
Frankfurt (europe-west3)
Vertex AI with EU data residency
AWS
Frankfurt (eu-central-1)
SageMaker
Azure
West Europe
Azure ML
License & Hosting
License Gemma Terms of Use
Security Filters Customizable (own responsibility)
On-Premise Edge-capable

Benchmarks

Performance comparison with standardized tests

MMLU
75.2%
HumanEval
72.0%

innFactory AI Consulting from Rosenheim, Germany advises enterprises across the DACH region on GDPR-compliant self-hosting of Google Gemma. With open weights, you have full control over your data - no information leaves your infrastructure.

Google Gemma - Open Weights from Google

Gemma is Google’s open-weights model family, developed based on the same research and technology as Gemini. Unlike the proprietary Gemini, Gemma models can be freely downloaded, operated locally, and customized for commercial purposes.

Key Strengths

Open Weights with Google Quality

  • Gemini Technology: Based on Google DeepMind’s research
  • Full Control: Model runs in your own infrastructure
  • No API Costs: Only hardware/cloud costs
  • Customizable: Fine-tuning on your own data possible

Multimodal Capabilities (Gemma 3)

  • Text + Image (4B+): Processing images and text
  • 128K Context (4B+): Long documents in a single pass
  • Multilingual: Over 140 languages supported

Flexible Deployment Options

  • On-Premise: Own servers or private cloud
  • Edge/Mobile: Compact variants (270M, 1B, 2B, 4B)
  • Cloud: Vertex AI, AWS, Azure with your own instance

Model Overview

Gemma 3 Family (2025)

ModelParametersVRAMRecommended GPUContext
Gemma 3 27B27B32+ GBA100 / H100128K
Gemma 3 12B12B16+ GBRTX 4090128K
Gemma 3 4B4B8 GBRTX 4070128K
Gemma 3 1B1B2 GBMobile / Edge32K
Gemma 3 270M0.27B1 GBMobile / Edge32K

Gemma 2 Family (2024)

ModelParametersVRAMRecommended GPUContext
Gemma 2 27B27B32+ GBA1008K
Gemma 2 9B9B12+ GBRTX 40808K
Gemma 2 2B2B4 GBRTX 30608K

Comparison: Gemma vs. Gemini vs. Llama

AspectGemma 3Gemini 2.0Llama 4
LicenseOpen WeightsProprietaryCommunity License
Self-HostingYesNoYes
API CostsNone (Self-Hosted)Pay-per-UseNone (Self-Hosted)
MultimodalText + ImageComprehensiveText + Image
GDPR Self-HostIdealCloud-dependentIdeal
Fine-TuningPossibleLimitedPossible

Use Cases

GDPR-Compliant Enterprise AI

  • Sensitive data remains in your infrastructure
  • No data transfer to external services
  • Full control over logging and audit

Specialized Applications

  • RAG Systems: Make enterprise knowledge searchable
  • Code Assistants: Internal developer tools
  • Customer Service: Chatbots without data sharing

Edge and Mobile

  • Gemma 3 1B/4B: For smartphones and IoT
  • Offline-capable: No internet connection needed
  • Low Latency: Local processing

Integration with CompanyGPT

Gemma models can be integrated into CompanyGPT as a self-hosted option - ideal for enterprises that want to combine Google quality with complete data control.

Our Recommendation

Gemma 3 27B is the first choice for enterprises wanting to combine Google quality with self-hosting. For edge applications or resource-constrained environments, Gemma 3 4B or Gemma 3 1B are excellent, cost-effective alternatives.

We support you in selecting, deploying, and fine-tuning Gemma models in your infrastructure.

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