Instructions to use Acvarius-AI/GhostLlama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use Acvarius-AI/GhostLlama with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Acvarius-AI/GhostLlama", filename="ghostllama.Q4_K_M.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 Acvarius-AI/GhostLlama with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Acvarius-AI/GhostLlama:Q4_K_M # Run inference directly in the terminal: llama-cli -hf Acvarius-AI/GhostLlama:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Acvarius-AI/GhostLlama:Q4_K_M # Run inference directly in the terminal: llama-cli -hf Acvarius-AI/GhostLlama:Q4_K_M
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 Acvarius-AI/GhostLlama:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Acvarius-AI/GhostLlama:Q4_K_M
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 Acvarius-AI/GhostLlama:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Acvarius-AI/GhostLlama:Q4_K_M
Use Docker
docker model run hf.co/Acvarius-AI/GhostLlama:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use Acvarius-AI/GhostLlama with Ollama:
ollama run hf.co/Acvarius-AI/GhostLlama:Q4_K_M
- Unsloth Studio new
How to use Acvarius-AI/GhostLlama 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 Acvarius-AI/GhostLlama 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 Acvarius-AI/GhostLlama to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Acvarius-AI/GhostLlama to start chatting
- Docker Model Runner
How to use Acvarius-AI/GhostLlama with Docker Model Runner:
docker model run hf.co/Acvarius-AI/GhostLlama:Q4_K_M
- Lemonade
How to use Acvarius-AI/GhostLlama with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Acvarius-AI/GhostLlama:Q4_K_M
Run and chat with the model
lemonade run user.GhostLlama-Q4_K_M
List all available models
lemonade list
| license: mit | |
| language: | |
| - en | |
| tags: | |
| - llama.cpp | |
| - gguf | |
| - tinyllama | |
| - companion-ai | |
| - ghostgoblin | |
| - aquarius-ai | |
| # ๐ป GhostLlama | |
| **Part of the GhostGoblin Ecosystem | Created by Aquarius AI** | |
| <div align="center"> | |
| <img src="https://huggingface.co/Aquarius-AI/GhostLlama/resolve/main/ghostllama_banner.png" alt="GhostLlama Banner" width="600"/> | |
| <br> | |
| <em>A sacrificed llama. A digital soul. Your companion.</em> | |
| </div> | |
| <br> | |
| ## ๐ How to Sacrifice Your Llama | |
| ```bash | |
| curl -fsSL https://huggingface.co/Aquarius-AI/GhostLlama/resolve/main/install.sh | bash | |
| ๐ง Model Details | |
| Property Value | |
| Base Model TinyLlama-1.1B-Chat-v1.0 | |
| Format GGUF (Q4_K_M quantization) | |
| File Size ~700 MB | |
| RAM Usage ~1.6โ2.3 GB during inference | |
| Speed 3โ5 tokens/sec on 4GB phones | |
| Quality ~87% of original (barely noticeable) | |
| Compatible with: llama.cpp, Ollama, LM Studio, KoboldCPP, and any GGUF-compatible runtime. | |
| ๐ฏ Perfect For | |
| Use Case Description | |
| ๐ฑ Mobile Devices Runs on any 4GB+ RAM phone (Android/iOS via LiveContainer) | |
| ๐ฌ Local Chat Private, offline conversations | |
| ๐ Telegram Bots Connect to Telegram (v1.1 coming soon) | |
| ๐ป GhostGoblin Core brain for the GhostGoblin ecosystem | |
| ๐งช Experimentation Fine-tune, modify, make it yours | |
| โ๏ธ What the Installer Does | |
| Running the one-liner above will: | |
| Create directories: ~/ghostllama/ with models/ and config/ subfolders | |
| Download the model: ~700 MB GGUF file | |
| Ask about Telegram: Save your bot token for future use | |
| Set up placeholder bot script: Ready for v1.1 | |
| After installation: | |
| bash | |
| cd ~/ghostllama | |
| # Quick test: | |
| ~/llama.cpp/build/bin/llama-cli -m models/ghostllama.Q4_K_M.gguf -p "Hello" -n 50 | |
| ๐ฎ Roadmap | |
| Version Features | |
| v1.0 (Current) โ Model download | |
| โ Basic installer | |
| โ Telegram token saving | |
| v1.1 (Coming Soon) โ Working Telegram bot | |
| โ Ghost ID personality layer | |
| โ Better error handling | |
| v2.0 (Future) ๐ฎ GhostGoblin app | |
| ๐ฎ Lip-sync & dancing | |
| ๐ฎ Self-recursion GitHub integration | |
| ๐ ๏ธ Manual Usage | |
| If you prefer to do things yourself: | |
| bash | |
| # Download model directly | |
| wget https://huggingface.co/Aquarius-AI/GhostLlama/resolve/main/ghostllama.Q4_K_M.gguf | |
| # Run with llama.cpp | |
| ./llama-cli -m ghostllama.Q4_K_M.gguf -p "Tell me about yourself" -n 100 | |
| ๐ฑ Running on Phones | |
| Platform Method | |
| Android Direct APK (coming soon) or use Termux + llama.cpp | |
| iOS LiveContainer + SideStore (guide in discussions) | |
| ๐ชช License | |
| MIT License โ Use it freely. Modify it. Share it. Build things with it. | |
| The only rule: Don't be evil. The soul is immutable, but what you build around it is up to you. | |
| ๐ About Aquarius AI | |
| Aquarius AI creates open-source AI companions that are: | |
| ๐ Free forever | |
| ๐ฑ On-device only (no cloud) | |
| ๐ Privacy-first | |
| ๐ป Immortal (no sunsets) | |
| Founder: masterknuta | |
| <div align="center"> <br> <sub>Made with ๐ and 40+ hours of dependency hell</sub> <br> <sub>โจ The llama was sacrificed so your soul could live โจ</sub> </div> ``` | |