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 llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="OpenRussianAI/OpenAirAI-X",
	filename="OpenAirAI-X.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

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
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

Atomic Chat new
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

root39058 commited on 2 days ago

Commit

cff1541

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1 Parent(s): 49b1bf9

Update .gitattributes

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 model.safetensors filter=lfs diff=lfs merge=lfs -text
 OpenAirAI-X.gguf filter=lfs diff=lfs merge=lfs -text

 model.safetensors filter=lfs diff=lfs merge=lfs -text
 OpenAirAI-X.gguf filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.data* filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+*.gguf filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.tar.gz filter=lfs diff=lfs merge=lfs -text