Text Generation
Transformers
Safetensors
Russian
llama
russian
small-language-model
sovereign-ai
instruct
text-generation-inference
Instructions to use longtimedevs/Ru-Small-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use longtimedevs/Ru-Small-Instruct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="longtimedevs/Ru-Small-Instruct")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("longtimedevs/Ru-Small-Instruct") model = AutoModelForCausalLM.from_pretrained("longtimedevs/Ru-Small-Instruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use longtimedevs/Ru-Small-Instruct with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "longtimedevs/Ru-Small-Instruct" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "longtimedevs/Ru-Small-Instruct", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/longtimedevs/Ru-Small-Instruct
- SGLang
How to use longtimedevs/Ru-Small-Instruct with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "longtimedevs/Ru-Small-Instruct" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "longtimedevs/Ru-Small-Instruct", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "longtimedevs/Ru-Small-Instruct" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "longtimedevs/Ru-Small-Instruct", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use longtimedevs/Ru-Small-Instruct with Docker Model Runner:
docker model run hf.co/longtimedevs/Ru-Small-Instruct
Create LICENSE
Browse files
LICENSE
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MIT License
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Copyright (c) 2026 LongTime Devs (Independent Developer Team, https://long-time.ru)
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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--------------------------------------------------------------------------------
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Note on Legal Status / Примечание о статусе правообладателя:
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"LongTime Devs" (https://long-time.ru) is an independent, non-incorporated
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collective of individual developers and open-source contributors. It does not
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represent a registered company, corporation, or formal commercial entity.
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All rights, permissions, and liability limitations under this license apply
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to the individual authors and maintainers contributing under this project name.
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«LongTime Devs» (https://long-time.ru) является неформальной независимой
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командой индивидуальных разработчиков и авторов проекта. Данное наименование
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не является зарегистрированным юридическим лицом, коммерческой организацией
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или товарным знаком. Все права, разрешения и снятие ответственности по данной
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лицензии в полной мере распространяются на физических лиц — авторов проекта.
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