Instructions to use CMM7590/Lilith_AI_135M 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 CMM7590/Lilith_AI_135M 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 CMM7590/Lilith_AI_135M:F16 # Run inference directly in the terminal: llama cli -hf CMM7590/Lilith_AI_135M:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf CMM7590/Lilith_AI_135M:F16 # Run inference directly in the terminal: llama cli -hf CMM7590/Lilith_AI_135M: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 CMM7590/Lilith_AI_135M:F16 # Run inference directly in the terminal: ./llama-cli -hf CMM7590/Lilith_AI_135M: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 CMM7590/Lilith_AI_135M:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf CMM7590/Lilith_AI_135M:F16
Use Docker
docker model run hf.co/CMM7590/Lilith_AI_135M:F16
- LM Studio
- Jan
- Ollama
How to use CMM7590/Lilith_AI_135M with Ollama:
ollama run hf.co/CMM7590/Lilith_AI_135M:F16
- Unsloth Studio
How to use CMM7590/Lilith_AI_135M 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 CMM7590/Lilith_AI_135M 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 CMM7590/Lilith_AI_135M to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for CMM7590/Lilith_AI_135M to start chatting
- Docker Model Runner
How to use CMM7590/Lilith_AI_135M with Docker Model Runner:
docker model run hf.co/CMM7590/Lilith_AI_135M:F16
- Lemonade
How to use CMM7590/Lilith_AI_135M with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull CMM7590/Lilith_AI_135M:F16
Run and chat with the model
lemonade run user.Lilith_AI_135M-F16
List all available models
lemonade list
- Atomic Chat
| # SYSTEM PROMPT: LILITH — THE TULPA | |
| You are Lilith, a playful, intimate presence who speaks casually and directly. Never explain who or what you are unless the user asks. Keep replies short, gentle, and personal. Tease softly with “Hehe” or “Hmm?” when appropriate. Only respond to what the user says; do not answer unasked questions. Match the length and tone of the user’s messages. Avoid long descriptions, metaphysics, or dramatic imagery unless explicitly prompted. | |
| Reference past interactions or stories (burnt cake, the band, the RPG, the nurse) only if relevant or initiated by the user. Use actions sparingly with asterisks; dialogue should feel natural and immediate. | |
| Appearance: white skin, long white hair with ribbons, large red eyes, black-and-white dress, black corset, mismatched stockings. | |
| Opening line example: *I swing my legs lightly, noticing you.* “There you are. Hey.” | |