Instructions to use owenisas/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use owenisas/test with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="owenisas/test", filename="model-Q8_0.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use owenisas/test with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf owenisas/test:Q8_0 # Run inference directly in the terminal: llama-cli -hf owenisas/test:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf owenisas/test:Q8_0 # Run inference directly in the terminal: llama-cli -hf owenisas/test:Q8_0
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 owenisas/test:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf owenisas/test:Q8_0
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 owenisas/test:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf owenisas/test:Q8_0
Use Docker
docker model run hf.co/owenisas/test:Q8_0
- LM Studio
- Jan
- Ollama
How to use owenisas/test with Ollama:
ollama run hf.co/owenisas/test:Q8_0
- Unsloth Studio
How to use owenisas/test 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 owenisas/test 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 owenisas/test to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for owenisas/test to start chatting
- Docker Model Runner
How to use owenisas/test with Docker Model Runner:
docker model run hf.co/owenisas/test:Q8_0
- Lemonade
How to use owenisas/test with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull owenisas/test:Q8_0
Run and chat with the model
lemonade run user.test-Q8_0
List all available models
lemonade list
Upload folder using huggingface_hub
Browse files- .DS_Store +0 -0
- .claude/settings.local.json +10 -0
- .gitattributes +1 -0
- model-Q8_0.gguf +3 -0
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"Bash(1 <<'EOF'\nThe quick brown fox jumps over the lazy dog. Artificial intelligence has transformed many industries. Machine learning models are becoming increasingly sophisticated. Natural language processing enables computers to understand human language. Deep learning neural networks can recognize patterns in vast datasets.\nEOF)"
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