54 lines
2.9 KiB
Markdown
54 lines
2.9 KiB
Markdown
---
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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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} |