Instructions to use NoCanGo/WaifuGPT 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 NoCanGo/WaifuGPT 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 NoCanGo/WaifuGPT:Q8_0 # Run inference directly in the terminal: llama cli -hf NoCanGo/WaifuGPT:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf NoCanGo/WaifuGPT:Q8_0 # Run inference directly in the terminal: llama cli -hf NoCanGo/WaifuGPT: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 NoCanGo/WaifuGPT:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf NoCanGo/WaifuGPT: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 NoCanGo/WaifuGPT:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf NoCanGo/WaifuGPT:Q8_0
Use Docker
docker model run hf.co/NoCanGo/WaifuGPT:Q8_0
- LM Studio
- Jan
- Ollama
How to use NoCanGo/WaifuGPT with Ollama:
ollama run hf.co/NoCanGo/WaifuGPT:Q8_0
- Unsloth Studio
How to use NoCanGo/WaifuGPT 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 NoCanGo/WaifuGPT 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 NoCanGo/WaifuGPT to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for NoCanGo/WaifuGPT to start chatting
- Docker Model Runner
How to use NoCanGo/WaifuGPT with Docker Model Runner:
docker model run hf.co/NoCanGo/WaifuGPT:Q8_0
- Lemonade
How to use NoCanGo/WaifuGPT with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull NoCanGo/WaifuGPT:Q8_0
Run and chat with the model
lemonade run user.WaifuGPT-Q8_0
List all available models
lemonade list
- Atomic Chat
| language: | |
| - en | |
| base_model: | |
| - unsloth/Meta-Llama-3.1-8B-Instruct | |
| pipeline_tag: question-answering | |
| license: apache-2.0 | |
| datasets: | |
| - NoCanGo/WaifuDB | |
| A project to create a chatbot that is knowledgeable in anime since the base models are severely lacking in that department. | |
| WaifuGPT3: Llama 3 8B | |
| WaifuGPT3.1: Llama 3.1 8B | |
| WaifuGPT3.2: Llama 3.2 3B | |
| Version 3 has less censorship and similar performance to 3.1. | |
| Version 3.1 is newer with similar quality than 3. | |
| Version 3.2 is less accurate but gives much quicker answers, perfect for an android device. | |
| Recommended temperature 0.5 for an accurate answer. | |
| Recommended temperature 0.7 for a creative answer. | |
| Usage example: Who would win a fight between Sakura Haruno and Tsunade? Expected answer example: Both Sakura Haruno and Tsunade are known for their physical strength but Tsunade's experience might give her a small edge. | |
| Usage example: Answer me as Tsunade to: What do you think about Sakura Haruno? Expected answer example: Heh Sakura is a skilled kunoichi but a little too fragile if you ask me. |