Instructions to use CSUB/CSUB-Handbook 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 CSUB/CSUB-Handbook 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 CSUB/CSUB-Handbook:F16 # Run inference directly in the terminal: llama cli -hf CSUB/CSUB-Handbook:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf CSUB/CSUB-Handbook:F16 # Run inference directly in the terminal: llama cli -hf CSUB/CSUB-Handbook:F16
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 CSUB/CSUB-Handbook:F16 # Run inference directly in the terminal: ./llama-cli -hf CSUB/CSUB-Handbook:F16
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 CSUB/CSUB-Handbook:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf CSUB/CSUB-Handbook:F16
Use Docker
docker model run hf.co/CSUB/CSUB-Handbook:F16
- Llama new
- LM Studio
- Jan
- Ollama
How to use CSUB/CSUB-Handbook with Ollama:
ollama run hf.co/CSUB/CSUB-Handbook:F16
- Unsloth Desktop
- Docker Model Runner
How to use CSUB/CSUB-Handbook with Docker Model Runner:
docker model run hf.co/CSUB/CSUB-Handbook:F16
- Lemonade
How to use CSUB/CSUB-Handbook with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull CSUB/CSUB-Handbook:F16
Run and chat with the model
lemonade run user.CSUB-Handbook-F16
List all available models
lemonade list
- Atomic Chat
Delete mistral-7b-Handbook-f16.gguf
Browse files
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