Using Docker is the absolute quickest way to install this model on your local machine.
Review and follow the instructions below.
The installer auto-downloads and deploys the entire model pack.
You don’t need to tweak anything, as the installer will automatically pick the highest performing setup for you.
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🔒 Hash checksum: fa026b509074b1fa97501d73b45ab681 • 📆 Last updated: 2026-06-25
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Gemma-4-E4B-it is a state‑of‑the‑art language model engineered for high‑efficiency inference on edge devices. It incorporates 2 B parameters and a 4 K context window, allowing nuanced comprehension while preserving low latency. The architecture leverages advanced quantization techniques to achieve sub‑2 ms token generation on consumer hardware. Its design includes multi‑head attention and grouped‑query attention, delivering strong performance across benchmarks such as MMLU and GSM‑8K. The model also supports seamless integration with developer tools through its open‑source API.
| Parameters | 2 B |
| Context Length | 4 K tokens |
| Quantization | INT4 |
| Throughput | >2000 tokens/s on GPU |
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