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From Data to Device: ELMOD An Efficient German-First 2.7B Language Model for Mobile Inference

paperactiveprovisionalfrom-data-to-device-elmod-an-efficient-german-first-2-7b-language-model-for-mobile-inference-e5fd881c·1 events·first seen 1h ago

Aliases: From Data to Device: ELMOD An Efficient German-First 2.7B Language Model for Mobile Inference

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4arXiv · cs.CL·1h ago·source ↗

ELMOD: Efficient 2.7B German-first language model optimized for on-device inference

Researchers present ELMOD, a 2.7B-parameter German language model trained on 55k H100 GPU hours using exclusively public data, targeting resource-constrained on-device deployment. The work introduces German-specific data preprocessing pipelines handling morphological variation, compounding, and orthographic conventions, plus a quality filtering and rephrasing step to improve instructional data quality. ELMOD claims state-of-the-art performance in the sub-3B size class for German, reportedly matching 7B-parameter models on German benchmarks.

Open Weights Progress Inference Economics From Data to Device: ELMOD An Efficient German-First 2.7B Language Model for Mobile Inference ELMOD