Translation
GGUF
Chinese
English
llama.cpp
simultaneous-translation
streaming-translation
zh-en
en-zh
conversational
Instructions to use netease-youdao/Confucius4-T3PO-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-T3PO-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-T3PO-GGUF:F16 # Run inference directly in the terminal: llama cli -hf netease-youdao/Confucius4-T3PO-GGUF:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf netease-youdao/Confucius4-T3PO-GGUF:F16 # Run inference directly in the terminal: llama cli -hf netease-youdao/Confucius4-T3PO-GGUF:F16
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-T3PO-GGUF:F16 # Run inference directly in the terminal: ./llama-cli -hf netease-youdao/Confucius4-T3PO-GGUF:F16
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-T3PO-GGUF:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf netease-youdao/Confucius4-T3PO-GGUF:F16
Use Docker
docker model run hf.co/netease-youdao/Confucius4-T3PO-GGUF:F16
- LM Studio
- Jan
- Ollama
How to use netease-youdao/Confucius4-T3PO-GGUF with Ollama:
ollama run hf.co/netease-youdao/Confucius4-T3PO-GGUF:F16
- Unsloth Desktop
- Docker Model Runner
How to use netease-youdao/Confucius4-T3PO-GGUF with Docker Model Runner:
docker model run hf.co/netease-youdao/Confucius4-T3PO-GGUF:F16
- Lemonade
How to use netease-youdao/Confucius4-T3PO-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull netease-youdao/Confucius4-T3PO-GGUF:F16
Run and chat with the model
lemonade run user.Confucius4-T3PO-GGUF-F16
List all available models
lemonade list
- Atomic Chat
Update README.md
Browse files
README.md
CHANGED
|
@@ -3,7 +3,7 @@ language:
|
|
| 3 |
- zh
|
| 4 |
- en
|
| 5 |
license: apache-2.0
|
| 6 |
-
pipeline_tag:
|
| 7 |
base_model:
|
| 8 |
- netease-youdao/Confucius4-T3PO
|
| 9 |
tags:
|
|
@@ -80,5 +80,4 @@ curl http://127.0.0.1:8010/v1/chat/completions \
|
|
| 80 |
The `user` message must follow the streaming protocol from the original model
|
| 81 |
card: the task prompt followed by the `<STREAMING_HISTORY>` and
|
| 82 |
`<CURRENT_INPUT>` blocks. An empty response means `WAIT`; a non-empty one is the
|
| 83 |
-
next translation segment.
|
| 84 |
-
|
|
|
|
| 3 |
- zh
|
| 4 |
- en
|
| 5 |
license: apache-2.0
|
| 6 |
+
pipeline_tag: translation
|
| 7 |
base_model:
|
| 8 |
- netease-youdao/Confucius4-T3PO
|
| 9 |
tags:
|
|
|
|
| 80 |
The `user` message must follow the streaming protocol from the original model
|
| 81 |
card: the task prompt followed by the `<STREAMING_HISTORY>` and
|
| 82 |
`<CURRENT_INPUT>` blocks. An empty response means `WAIT`; a non-empty one is the
|
| 83 |
+
next translation segment.
|
|
|