Instructions to use webbigdata/C3TR-Adapter_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 webbigdata/C3TR-Adapter_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 webbigdata/C3TR-Adapter_gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf webbigdata/C3TR-Adapter_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 webbigdata/C3TR-Adapter_gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf webbigdata/C3TR-Adapter_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 webbigdata/C3TR-Adapter_gguf:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf webbigdata/C3TR-Adapter_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 webbigdata/C3TR-Adapter_gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf webbigdata/C3TR-Adapter_gguf:Q4_K_M
Use Docker
docker model run hf.co/webbigdata/C3TR-Adapter_gguf:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use webbigdata/C3TR-Adapter_gguf with Ollama:
ollama run hf.co/webbigdata/C3TR-Adapter_gguf:Q4_K_M
- Unsloth Studio
How to use webbigdata/C3TR-Adapter_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 webbigdata/C3TR-Adapter_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 webbigdata/C3TR-Adapter_gguf to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for webbigdata/C3TR-Adapter_gguf to start chatting
- Atomic Chat new
- Docker Model Runner
How to use webbigdata/C3TR-Adapter_gguf with Docker Model Runner:
docker model run hf.co/webbigdata/C3TR-Adapter_gguf:Q4_K_M
- Lemonade
How to use webbigdata/C3TR-Adapter_gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull webbigdata/C3TR-Adapter_gguf:Q4_K_M
Run and chat with the model
lemonade run user.C3TR-Adapter_gguf-Q4_K_M
List all available models
lemonade list
Update README.md
Browse files
README.md
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英日翻訳(Translate English to Japanese)
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```
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./main -m ./C3TR-Adapter.Q4_1.gguf -e --temp 0 --repeat-penalty 1.0 -
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Translate English to Japanese.
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### Input:
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'The Boy and the Heron' follows a boy named Mahito Maki who moves to the countryside after his mother's death. There, he is lured by a mysterious heron into a secluded tower, a portal that transports him to a fantastical realm amid his grief.
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日英翻訳時(Translate Japanese to English)
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```
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./main -m ../upload/C3TR-Adapter.Q4_1.gguf -e --temp 0 --repeat-penalty 1.0 -
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Translate Japanese to English.
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### Input:
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「でも『オスカー取りたい』と思ってこの仕事をやってきたのではなく、いかに中学生の頃の気持ちを忘れずに、あの時作りたかったものにどれだけ近づけるかということをずっとやり続けてきたので、『未知との遭遇』と『スター・ウォーズ』を見てメロメロになった中 学生の自分に、今は感謝しています。
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英日翻訳(Translate English to Japanese)
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```
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./main -m ./C3TR-Adapter.Q4_1.gguf -e --temp 0 --repeat-penalty 1.0 -n -2 -p "### Instructions:
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Translate English to Japanese.
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### Input:
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'The Boy and the Heron' follows a boy named Mahito Maki who moves to the countryside after his mother's death. There, he is lured by a mysterious heron into a secluded tower, a portal that transports him to a fantastical realm amid his grief.
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日英翻訳時(Translate Japanese to English)
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```
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./main -m ../upload/C3TR-Adapter.Q4_1.gguf -e --temp 0 --repeat-penalty 1.0 -n -2 -p "### Instructions:
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Translate Japanese to English.
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### Input:
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「でも『オスカー取りたい』と思ってこの仕事をやってきたのではなく、いかに中学生の頃の気持ちを忘れずに、あの時作りたかったものにどれだけ近づけるかということをずっとやり続けてきたので、『未知との遭遇』と『スター・ウォーズ』を見てメロメロになった中 学生の自分に、今は感謝しています。
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