Instructions to use netease-youdao/Confucius3-Math-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use netease-youdao/Confucius3-Math-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("netease-youdao/Confucius3-Math-GGUF", dtype="auto") - llama-cpp-python
How to use netease-youdao/Confucius3-Math-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="netease-youdao/Confucius3-Math-GGUF", filename="confucius3-math-bf16-00001-of-00008.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 netease-youdao/Confucius3-Math-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf netease-youdao/Confucius3-Math-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf netease-youdao/Confucius3-Math-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf netease-youdao/Confucius3-Math-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf netease-youdao/Confucius3-Math-GGUF: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 netease-youdao/Confucius3-Math-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf netease-youdao/Confucius3-Math-GGUF: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 netease-youdao/Confucius3-Math-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf netease-youdao/Confucius3-Math-GGUF:Q4_K_M
Use Docker
docker model run hf.co/netease-youdao/Confucius3-Math-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use netease-youdao/Confucius3-Math-GGUF with Ollama:
ollama run hf.co/netease-youdao/Confucius3-Math-GGUF:Q4_K_M
- Unsloth Studio new
How to use netease-youdao/Confucius3-Math-GGUF 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 netease-youdao/Confucius3-Math-GGUF 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 netease-youdao/Confucius3-Math-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for netease-youdao/Confucius3-Math-GGUF to start chatting
- Docker Model Runner
How to use netease-youdao/Confucius3-Math-GGUF with Docker Model Runner:
docker model run hf.co/netease-youdao/Confucius3-Math-GGUF:Q4_K_M
- Lemonade
How to use netease-youdao/Confucius3-Math-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull netease-youdao/Confucius3-Math-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Confucius3-Math-GGUF-Q4_K_M
List all available models
lemonade list
llm.create_chat_completion(
messages = "No input example has been defined for this model task."
)Confucius3-Math-GGUF
This model was converted to GGUF format from netease-youdao/Confucius3-Math using llama.cpp.
Refer to the original model card for more details on the model.
We provide multiple versions of GGUF, which are stored in the corresponding subdirectories respectively. However, it should be noted that we have only evaluated the quality of the BF16 precision.
Use with llama.cpp
Before running the model, please compile and install llama.cpp first.
Merge the model files
Since the models we uploaded have been sliced, you need to execute the following commands to merge the models before running them.
./build/bin/llama-gguf-split --merge netease-youdao/Confucius3-Math-GGUF/confucius3-math-bf16-00001-of-00008.gguf confucius3-math-bf16.gguf
Run conversation
./build/bin/llama-cli -m confucius3-math-bf16.gguf
Citation
If you find our work helpful, feel free to give us a cite.
@misc{confucius3-math,
author = {NetEase Youdao Team},
title = {Confucius3-Math: A Lightweight High-Performance Reasoning LLM for Chinese K-12 Mathematics Learning},
url = {https://arxiv.org/abs/2506.18330},
month = {June},
year = {2025}
}
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Model tree for netease-youdao/Confucius3-Math-GGUF
Base model
deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="netease-youdao/Confucius3-Math-GGUF", filename="", )