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Model: Vikhrmodels/Vistral-24B-Instruct
Source: Original Platform

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README.md

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+---
+license: apache-2.0
+language:
+- en
+- ru
+base_model:
+- mistralai/Mistral-Small-3.2-24B-Instruct-2506
+library_name: transformers
+datasets:
+  - Vikhrmodels/GrandMaster2
+---
+
+## Vistral-24B-Instruct
+### Описание
+
+**Vistral** - это наша новая флагманская унимодальная LLM (Large Language Model) представляющая из себя улучшенную версию [mistralai/Mistral-Small-3.2-24B-Instruct-2506](https://huggingface.co/mistralai/Mistral-Small-3.2-24B-Instruct-2506) командой **VikhrModels**, адаптированную преимущественно для русского и английского языков. Удалён визуальный энкодер, убрана мультимодальность. Сохранена стандартная архитектура "MistralForCausalLM" без изменений в базовой структуре модели.
+
+Весь использованный код для обучения доступен в нашем репозитории [effective_llm_alignment](https://github.com/VikhrModels/effective_llm_alignment/) на GitHub, а основные датасеты доступны в нашем [профиле на HF](https://huggingface.co/Vikhrmodels).
+
+Модель доступна на нашем сайте [Chat Vikhr](https://chat.vikhr.org)
+
+## Quantized variants:
+
+- GGUF [Vikhrmodels/Vistral-24B-Instruct-GGUF](https://huggingface.co/Vikhrmodels/Vistral-24B-Instruct-GGUF)
+- MLX
+  - 4 bit [Vikhrmodels/Vistral-24B-Instruct-MLX_4bit](https://huggingface.co/Vikhrmodels/Vistral-24B-Instruct-MLX_4bit)
+  - 8 bit [Vikhrmodels/Vistral-24B-Instruct-MLX_8bit](https://huggingface.co/Vikhrmodels/Vistral-24B-Instruct-MLX_8bit)
+
+
+### Метрики и оценка качества
+
+Модель оценивалась на нашем русскоязычном open-source SbS бенчмарке [ru-arena-general](https://github.com/VikhrModels/ru_llm_arena)
+
+
+
+#### Результаты на Ru-Arena-General
+
+| Model Name                                       | Winrate  | 95% CI             | Average # Tokens |
+|--------------------------------------------------|--------|--------------------|------------------|
+| **Vistral-24B-Instruct**               | **96.1**   | (-0.7, 0.8)        | 647              |
+| Mistral-Small-3.2-24B-Instruct-2506                        | 92.1   | (-0.9, 1.0)        | 486              |
+| vikhr-nemo-12b-instruct-r-21-09-24(180 leaked)               | 79.8   | (-2.2, 1.9)        | 627              |
+
+
+
+#### Пример правильного использования с OpenAI-like API
+
+Запуск vLLM сервера: `vllm serve --dtype half --max-model-len 32000 -tp 1 Vikhrmodels/Vistral-24B-Instruct --api-key token-abc123`
+
+```python
+from openai import OpenAI
+client = OpenAI(
+    base_url="http://localhost:8000/v1",
+    api_key="token-abc123",
+)
+
+llm_model = "Vikhrmodels/Vistral-24B-Instruct"
+
+sample_history = [
+    {'role': 'user', 'content': 'Напиши краткое описание книги Гарри Поттер.'}
+]
+
+final_answer = llm_client.chat.completions.create(
+    model=llm_model,
+    messages=sample_history,
+    temperature=0.3,
+    max_tokens=2048
+).choices[0].message.content
+
+print(final_answer)
+```
+
+Ответ после выполнения кода будет выглядеть примерно так:
+
+    **Краткое описание книги «Гарри Поттер»:**  
+
+    «Гарри Поттер» — это серия фантастических романов Дж. К. Роулинг о мальчике-волшебнике, который узнаёт, что он сын могущественных магов, и отправляется учиться в школу чародейства и волшебства Хогвартс. В первом томе («Гарри Поттер и философский камень») Гарри знакомится с друзьями Роном и Гермионой, раскрывает тайну своего прошлого и сталкивается с опасным тёмным магом Волан-де-Мортом.  
+    
+    В последующих книгах Гарри и его друзья борются с силами зла, раскрывают древние тайны, переживают взросление и учатся использовать волшебство во благо. Серия сочетает приключения, дружбу, магию и борьбу добра со злом.  
+    
+    **Основные темы:** волшебный мир, дружба, храбрость, преданность, борьба со злом.
+
+
+### Нюансы и ограничения
+- Модель имеет **низкий уровень безопасности ответов** и нацелена на правильное и полное выполенние инструкций, имейте это ввиду при использовании и тестируйте самостоятельно. Частично это исправляется системными промптами и дополнительными указаниями о важности безопасности в промпте пользователя.
+- Системные промпты не предназначены для описание персонажей, мы рекомендуем использовать их для спецификации стиля ответа (вроде "answer only in json format"). Кроме того, желательно, писать их **на английском языке**, так как так было в датасете, от использования английского в системных промтпах не зависит язык ответа.
+- Модель лучше использовать с низкой темптературой (0.1-0.5), а таже использовать top_k (30-50), при температуре 1.0 были замечены случайные дефекты генерации.
+
+### Авторы
+- Nikolay Kompanets, [LakoMoor](https://t.me/lakomoordev), [Vikhr Team](https://t.me/vikhrlabs)
+- Sergei Bratchikov, [NLP Wanderer](https://t.me/nlpwanderer), [Vikhr Team](https://t.me/vikhrlabs)
+- Konstantin Korolev, [Vikhr Team](https://t.me/vikhrlabs)
+- Aleksandr Nikolich, [Vikhr Team](https://t.me/vikhrlabs)
+
+```
+@inproceedings{nikolich2024vikhr,
+  title={Vikhr: Advancing Open-Source Bilingual Instruction-Following Large Language Models for Russian and English},
+  author={Aleksandr Nikolich and Konstantin Korolev and Sergei Bratchikov and Nikolay Kompanets and Igor Kiselev and Artem Shelmanov},
+  booktitle={Proceedings of the 4th Workshop on Multilingual Representation Learning (MRL) @ EMNLP-2024},
+  year={2024},
+  publisher={Association for Computational Linguistics},
+  url={https://arxiv.org/pdf/2405.13929}
+}
+```

chat_template.jinja

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+{{ bos_token }}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>
+
+'+ message['content'] | trim + '</s>' %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>
+
+' }}{% endif %}

config.json

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+{
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "dtype": "bfloat16",
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 32768,
+  "max_position_embeddings": 131072,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 40,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "transformers_version": "4.56.0",
+  "use_cache": true,
+  "vocab_size": 131074
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

generation_config.json

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+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.56.0"
+}

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