Instructions to use OpenRussianAI/OpenAirAI-X with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use OpenRussianAI/OpenAirAI-X with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="OpenRussianAI/OpenAirAI-X")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("OpenRussianAI/OpenAirAI-X")
model = AutoModelForCausalLM.from_pretrained("OpenRussianAI/OpenAirAI-X", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use OpenRussianAI/OpenAirAI-X with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf OpenRussianAI/OpenAirAI-X
# Run inference directly in the terminal:
llama cli -hf OpenRussianAI/OpenAirAI-X

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf OpenRussianAI/OpenAirAI-X
# Run inference directly in the terminal:
llama cli -hf OpenRussianAI/OpenAirAI-X

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf OpenRussianAI/OpenAirAI-X
# Run inference directly in the terminal:
./llama-cli -hf OpenRussianAI/OpenAirAI-X

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf OpenRussianAI/OpenAirAI-X
# Run inference directly in the terminal:
./build/bin/llama-cli -hf OpenRussianAI/OpenAirAI-X

Use Docker

docker model run hf.co/OpenRussianAI/OpenAirAI-X

LM Studio
Jan

vLLM

How to use OpenRussianAI/OpenAirAI-X with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "OpenRussianAI/OpenAirAI-X"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "OpenRussianAI/OpenAirAI-X",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/OpenRussianAI/OpenAirAI-X

SGLang

How to use OpenRussianAI/OpenAirAI-X 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 "OpenRussianAI/OpenAirAI-X" \
    --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": "OpenRussianAI/OpenAirAI-X",
		"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 "OpenRussianAI/OpenAirAI-X" \
        --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": "OpenRussianAI/OpenAirAI-X",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Ollama
How to use OpenRussianAI/OpenAirAI-X with Ollama:
```
ollama run hf.co/OpenRussianAI/OpenAirAI-X
```

Unsloth Studio

How to use OpenRussianAI/OpenAirAI-X with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for OpenRussianAI/OpenAirAI-X to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for OpenRussianAI/OpenAirAI-X to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for OpenRussianAI/OpenAirAI-X to start chatting

Docker Model Runner
How to use OpenRussianAI/OpenAirAI-X with Docker Model Runner:
```
docker model run hf.co/OpenRussianAI/OpenAirAI-X
```

Lemonade

How to use OpenRussianAI/OpenAirAI-X with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull OpenRussianAI/OpenAirAI-X

Run and chat with the model

lemonade run user.OpenAirAI-X-{{QUANT_TAG}}

List all available models

lemonade list

Atomic Chat
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

OpenAirAI

OpenAirAI Это текстовая модель на архитеректуре Transformer!

(Модель не до конца обучена поэтому она может быть тупой!)

Downloads last month: 5,883

Safetensors

Model size

0.2B params

Tensor type

F32

Model tree for OpenRussianAI/OpenAirAI-X

Quantizations

1 model

OpenRussianAI
/

OpenAirAI-X

OpenAirAI

(Модель не до конца обучена поэтому она может быть тупой!)

Model tree for OpenRussianAI/OpenAirAI-X

Space using OpenRussianAI/OpenAirAI-X 1