Gemma 3 27B (StackIT)
The most capable single-GPU open model for research and local deployment.
About the Model
Gemma 3 27B is Google DeepMind’s flagship open-weight model for 2026. Derived from the core technology behind Gemini 3, it is a decoder-only Transformer with a hybrid attention mechanism (5:1 ratio of local to global attention). It is designed to provide state-of-the-art performance on a single consumer GPU, making it the premier choice for independent researchers and local-first developers.
Model Key Capabilities
Single-GPU Power:
Fits on a single RTX 4090 or Mac M2 Ultra with high-precision quantization.
Native Multimodal Encoding:
Uses a frozen 400M SigLIP vision encoder to understand image-text pairs with Gemini-tier accuracy.
Extensive Language Support:
Trained on 14 trillion tokens with high balance across 140+ languages.
Structured Output Precision:
Native support for JSON schemas, making it perfect for local agentic tools.
Applications & Use Cases
On-Device Research:
Running high-IQ analysis on private datasets without any cloud dependency.
Local Coding Assistants:
Powering IDE plugins with 128K context for deep project understanding.
Edge Vision Tasks:
Performing image classification and visual inspection in offline or security-sensitive environments.
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Model Specifications
General | |
|---|---|
Model Provider | |
Main Use Cases |
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Intelligence | |
Reasoning Effort | Adaptive (Low, Medium, High) |
GPQA Diamond | 85.7% |
Memory | |
Max Context | 2.0M Tokens |
Speed | |
Latency (TTFT) | 0.18 Sec |
Throughput | 190 Tokens/Sec |
Cost | |
1M Tokens (I/O) | $0.20 / $0.50 |
