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💨📱 Vikhr-Llama-3.2-1B-instruct

RU

Инструктивная модель на основе Llama-3.2-1B-Instruct, обученная на русскоязычном датасете GrandMaster-PRO-MAX. В 5 раз эффективнее базовой модели, и идеально подходит для запуска на слабых или мобильных устройствах.

EN

Instructive model based on Llama-3.2-1B-Instruct, trained on the Russian-language dataset GrandMaster-PRO-MAX. It is 5 times more efficient than the base model, making it perfect for deployment on low-power or mobile devices.

Рекомендуемая температура для генерации: 0.3 / Recommended generation temperature: 0.3.

Метрики на ru_arena_general / Metrics on ru_arena_general

Model Score 95% CI Avg Tokens Std Tokens LC Score
kolibri-vikhr-mistral-0427 22.41 +1.6 / -1.6 489.89 566.29 46.04
storm-7b 20.62 +2.0 / -1.6 419.32 190.85 45.78
neural-chat-7b-v3-3 19.04 +2.0 / -1.7 927.21 1211.62 45.56
Vikhrmodels-Vikhr-Llama-3.2-1B-instruct 19.04 +1.3 / -1.6 958.63 1297.33 45.56
gigachat_lite 17.2 +1.4 / -1.4 276.81 329.66 45.29
Vikhrmodels-vikhr-qwen-1.5b-it 13.19 +1.4 / -1.6 2495.38 741.45 44.72
meta-llama-Llama-3.2-1B-Instruct 4.04 +0.8 / -0.6 1240.53 1783.08 43.42

Авторы / Authors

@article{nikolich2024vikhr,
  title={Vikhr: The Family of Open-Source Instruction-Tuned Large Language Models for Russian},
  author={Aleksandr Nikolich and Konstantin Korolev and Sergey Bratchikov and Nikolay Kompanets and Artem Shelmanov},
  journal={arXiv preprint arXiv:2405.13929},
  year={2024},
  url={https://arxiv.org/pdf/2405.13929}
}
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