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Krikri: Advancing Open Large Language Models for Greek

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arxiv 2505.13772 v2 pith:RQTAL4YC submitted 2025-05-19 cs.CL

classification cs.CL
keywords greeklanguagellama-krikri-8bbenchmarksdataevaluationgenerationlarge
verification ladder T0 review T1 audit T2 compute T3 formal
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We introduce Llama-Krikri-8B, a cutting-edge Large Language Model tailored for the Greek language, built on Meta's Llama 3.1-8B. Llama-Krikri-8B has been extensively trained on high-quality Greek data to ensure superior adaptation to linguistic nuances. With 8 billion parameters, it offers advanced capabilities while maintaining efficient computational performance. Llama-Krikri-8B supports both Modern Greek and English, and is also equipped to handle polytonic text and Ancient Greek. The chat version of Llama-Krikri-8B features a multi-stage post-training pipeline, utilizing both human and synthetic instruction and preference data, by applying techniques such as MAGPIE. In addition, for evaluation, we propose three novel public benchmarks for Greek. Our evaluation on existing as well as the proposed benchmarks shows notable improvements over comparable Greek and multilingual LLMs in both natural language understanding and generation as well as code generation.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. MORFES: A Benchmark for Productive Inflectional Competence in Modern Greek

    cs.CL 2026-07 conditional novelty 6.0 of 10

    MORFES is the first expert-verified Modern Greek productive-inflection benchmark; Sophea-Genesis-1 leads it at 84% per-item production without losing general capability.

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