Automatic Speech Recognition
GGUF
Chinese
GGUF
confucius4
r2t2
asr
streaming
real-time
low-latency
speech-recognition
multilingual
conversational
Instructions to use netease-youdao/Confucius4-R2T2-GGUF 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 netease-youdao/Confucius4-R2T2-GGUF 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 netease-youdao/Confucius4-R2T2-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf netease-youdao/Confucius4-R2T2-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf netease-youdao/Confucius4-R2T2-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf netease-youdao/Confucius4-R2T2-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/Confucius4-R2T2-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf netease-youdao/Confucius4-R2T2-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/Confucius4-R2T2-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf netease-youdao/Confucius4-R2T2-GGUF:Q4_K_M
Use Docker
docker model run hf.co/netease-youdao/Confucius4-R2T2-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use netease-youdao/Confucius4-R2T2-GGUF with Ollama:
ollama run hf.co/netease-youdao/Confucius4-R2T2-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use netease-youdao/Confucius4-R2T2-GGUF with Docker Model Runner:
docker model run hf.co/netease-youdao/Confucius4-R2T2-GGUF:Q4_K_M
- Lemonade
How to use netease-youdao/Confucius4-R2T2-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull netease-youdao/Confucius4-R2T2-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Confucius4-R2T2-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download Confucius4-R2T2-Q8_0.gguf from netease-youdao/Confucius4-R2T2-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 1.83 GB
-
https://huggingface.co/netease-youdao/Confucius4-R2T2-GGUF/resolve/main/Confucius4-R2T2-Q8_0.gguf
- Command line
-
hf download hf://netease-youdao/Confucius4-R2T2-GGUF/Confucius4-R2T2-Q8_0.gguf
-
curl -L -o Confucius4-R2T2-Q8_0.gguf https://huggingface.co/netease-youdao/Confucius4-R2T2-GGUF/resolve/main/Confucius4-R2T2-Q8_0.gguf
1.83 GB
- Xet hash:
- c2d5630061f71ffcb9bda4ec6fb81986c9230d8f3372d4245bf1e94f4489df78
- Size of remote file:
- 1.83 GB
- SHA256:
- 151097e43957a19984ea7de66e8144ce69b95039eb31c93da4f58db367e455c3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.