Instructions to use WoobinPeekaboo/Spicy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use WoobinPeekaboo/Spicy 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 WoobinPeekaboo/Spicy # Run inference directly in the terminal: llama cli -hf WoobinPeekaboo/Spicy
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf WoobinPeekaboo/Spicy # Run inference directly in the terminal: llama cli -hf WoobinPeekaboo/Spicy
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 WoobinPeekaboo/Spicy # Run inference directly in the terminal: ./llama-cli -hf WoobinPeekaboo/Spicy
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 WoobinPeekaboo/Spicy # Run inference directly in the terminal: ./build/bin/llama-cli -hf WoobinPeekaboo/Spicy
Use Docker
docker model run hf.co/WoobinPeekaboo/Spicy
- LM Studio
- Jan
- Ollama
How to use WoobinPeekaboo/Spicy with Ollama:
ollama run hf.co/WoobinPeekaboo/Spicy
- Unsloth Studio
How to use WoobinPeekaboo/Spicy 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 WoobinPeekaboo/Spicy 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 WoobinPeekaboo/Spicy to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for WoobinPeekaboo/Spicy to start chatting
- Docker Model Runner
How to use WoobinPeekaboo/Spicy with Docker Model Runner:
docker model run hf.co/WoobinPeekaboo/Spicy
- Lemonade
How to use WoobinPeekaboo/Spicy with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull WoobinPeekaboo/Spicy
Run and chat with the model
lemonade run user.Spicy-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf WoobinPeekaboo/Spicy# Run inference directly in the terminal:
llama cli -hf WoobinPeekaboo/SpicyUse 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 WoobinPeekaboo/Spicy# Run inference directly in the terminal:
./llama-cli -hf WoobinPeekaboo/SpicyBuild 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 WoobinPeekaboo/Spicy# Run inference directly in the terminal:
./build/bin/llama-cli -hf WoobinPeekaboo/SpicyUse Docker
docker model run hf.co/WoobinPeekaboo/SpicyQuick Links
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Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf WoobinPeekaboo/Spicy# Run inference directly in the terminal: llama cli -hf WoobinPeekaboo/Spicy