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--- |
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library_name: llamacpp |
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model_name: Vikhr-Gemma-2B-instruct |
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base_model: |
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- Vikhrmodels/Vikhr-Llama-3.2-1B |
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language: |
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- ru |
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- en |
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license: llama3.2 |
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tags: |
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- instruct |
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datasets: |
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- Vikhrmodels/GrandMaster-PRO-MAX |
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pipeline_tag: text-generation |
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--- |
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# 💨📱 Vikhr-Llama-3.2-1B-instruct |
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#### RU |
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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. |
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#### EN |
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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. |
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- [HF model](https://huggingface.co./Vikhrmodels/Vikhr-Llama-3.2-1B) |
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**Рекомендуемая температура для генерации: 0.3** / **Recommended generation temperature: 0.3**. |
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## Метрики на ru_arena_general / Metrics on ru_arena_general |
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| **Model** | **Score** | **95% CI** | **Avg Tokens** | **Std Tokens** | **LC Score** | |
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| ------------------------------------------- | --------- | --------------- | -------------- | -------------- | ------------ | |
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| kolibri-vikhr-mistral-0427 | 22.41 | +1.6 / -1.6 | 489.89 | 566.29 | 46.04 | |
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| storm-7b | 20.62 | +2.0 / -1.6 | 419.32 | 190.85 | 45.78 | |
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| neural-chat-7b-v3-3 | 19.04 | +2.0 / -1.7 | 927.21 | 1211.62 | 45.56 | |
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| **Vikhrmodels-Vikhr-Llama-3.2-1B-instruct** | **19.04** | **+1.3 / -1.6** | **958.63** | **1297.33** | **45.56** | |
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| gigachat_lite | 17.2 | +1.4 / -1.4 | 276.81 | 329.66 | 45.29 | |
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| Vikhrmodels-vikhr-qwen-1.5b-it | 13.19 | +1.4 / -1.6 | 2495.38 | 741.45 | 44.72 | |
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| meta-llama-Llama-3.2-1B-Instruct | 4.04 | +0.8 / -0.6 | 1240.53 | 1783.08 | 43.42 | |
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### Авторы / Authors |
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- Sergei Bratchikov, [NLP Wanderer](https://t.me/nlpwanderer), [Vikhr Team](https://t.me/vikhrlabs) |
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- Nikolay Kompanets, [LakoMoor](https://t.me/lakomoor), [Vikhr Team](https://t.me/vikhrlabs) |
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- Konstantin Korolev, [Vikhr Team](https://t.me/vikhrlabs) |
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- Aleksandr Nikolich, [Vikhr Team](https://t.me/vikhrlabs) |
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``` |
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@article{nikolich2024vikhr, |
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title={Vikhr: The Family of Open-Source Instruction-Tuned Large Language Models for Russian}, |
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author={Aleksandr Nikolich and Konstantin Korolev and Sergey Bratchikov and Nikolay Kompanets and Artem Shelmanov}, |
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journal={arXiv preprint arXiv:2405.13929}, |
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year={2024}, |
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url={https://arxiv.org/pdf/2405.13929} |
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} |
