Sinun AI
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Models

Gemma 4 — the best open edge model of 2026

Gemma 4 E4B runs in just 3 GB of VRAM — on phones, Mac minis and Raspberry Pi-class devices. Full Gemma 4 scales to a workstation. Multimodal (audio, image) included.

3 GB VRAMMultimodalPhone-class

When you need an AI assistant to run on a phone or light laptop, Gemma 4 is 2026's best pick. Small but capable, and its multimodal support gives you audio and image processing with no cloud.

Edge-class performance

Gemma 4 E4B works well on Jetson Orin Nano (67 TOPS @ 15 W), Mac mini, iPhone and flagship Android phones. 20+ tokens/s, often faster.

Use cases

A personal phone assistant, on-device speech recognition and real-time translation, offline knowledge base on the road, home IoT hub. Excellent as a local-first sync edge node.

Frequently asked

Does Gemma 4 speak Finnish?
Limited. For Finnish-language tasks Viking or Poro is a better pick. Gemma is excellent in English and for multimodal use.

Updated 2026-04-21

Related

Models

Viking — the Nordic open LLM from Kajaani

Viking 7B/13B/33B is Silo AI's open LLM for Finnish, Swedish, Norwegian, Danish and Icelandic. Apache 2.0, trained on the LUMI supercomputer in Kajaani.

Models

Poro — Europe's trailblazer open language model

Poro is Silo AI's and TurkuNLP's open LLM for Finnish, English and code. Trained on LUMI in Kajaani, the predecessor of Viking.

Models

Qwen 3.5 — the open-source coding king

Qwen 3.5 27B scores 72.4% on SWE-Bench Verified on a single 16 GB GPU. Apache 2.0, strong on coding, math and reasoning.

Models

Mistral Small 4 — light, European, multilingual

Mistral Small 4 is Mistral AI's (Paris) open model — light to run, fluent across European languages. Built and trained in the EU.

All resources

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