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
Confucius4-R2T2: A Low Latency and High Accuracy Real-Time Speech Recognition Model
Real Real-Time Transcription
Confucius4-R2T2-GGUF
Official GGUF release from NetEase Youdao for netease-youdao/Confucius4-R2T2, a low-latency and high-accuracy true streaming Automatic Speech Recognition (ASR) model that features fine-grained and configurable decoding chunks from 80 ms to 2 s.
Files
| Filename | Quantization | Size | Notes |
|---|---|---|---|
| Confucius4-R2T2-f16.gguf | f16 | 3.2GiB | best quality |
| Confucius4-R2T2-Q8_0.gguf | Q8_0 | 1.7GiB | very good quality |
| Confucius4-R2T2-Q4_K_M.gguf | Q4_K_M | 1.0GiB | fast, lower quality |
| mmproj-Confucius4-R2T2-f16.gguf | mmproj-f16 | 0.6GiB | multi-modal supplement |
| mmproj-Confucius4-R2T2-Q8_0.gguf | mmproj-Q8_0 | 0.3GiB | multi-modal supplement |
The low-bit variants are quantized from the f16 GGUF.
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