Text Generation
GGUF
English
Chinese
llama.cpp
reflective-ai
non-directive
offline-first
bilingual
philosophical-ai
contemplative-ai
mindfulness
taoism-influenced
eastern-philosophy
emotional-regulation
safety-aligned
local-llm
tobyworld
proof-of-time
deepseek
Instructions to use Toadaid/tobyworld-mirror-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use Toadaid/tobyworld-mirror-v2 with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Toadaid/tobyworld-mirror-v2", filename="tobyworld-mirror-v2-q4km.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use Toadaid/tobyworld-mirror-v2 with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Toadaid/tobyworld-mirror-v2 # Run inference directly in the terminal: llama-cli -hf Toadaid/tobyworld-mirror-v2
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Toadaid/tobyworld-mirror-v2 # Run inference directly in the terminal: llama-cli -hf Toadaid/tobyworld-mirror-v2
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 Toadaid/tobyworld-mirror-v2 # Run inference directly in the terminal: ./llama-cli -hf Toadaid/tobyworld-mirror-v2
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 Toadaid/tobyworld-mirror-v2 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Toadaid/tobyworld-mirror-v2
Use Docker
docker model run hf.co/Toadaid/tobyworld-mirror-v2
- LM Studio
- Jan
- vLLM
How to use Toadaid/tobyworld-mirror-v2 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Toadaid/tobyworld-mirror-v2" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Toadaid/tobyworld-mirror-v2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Toadaid/tobyworld-mirror-v2
- Ollama
How to use Toadaid/tobyworld-mirror-v2 with Ollama:
ollama run hf.co/Toadaid/tobyworld-mirror-v2
- Unsloth Studio new
How to use Toadaid/tobyworld-mirror-v2 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 Toadaid/tobyworld-mirror-v2 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 Toadaid/tobyworld-mirror-v2 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Toadaid/tobyworld-mirror-v2 to start chatting
- Docker Model Runner
How to use Toadaid/tobyworld-mirror-v2 with Docker Model Runner:
docker model run hf.co/Toadaid/tobyworld-mirror-v2
- Lemonade
How to use Toadaid/tobyworld-mirror-v2 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Toadaid/tobyworld-mirror-v2
Run and chat with the model
lemonade run user.tobyworld-mirror-v2-{{QUANT_TAG}}List all available models
lemonade list