Instructions to use DataSoul/ALMA-7B-R-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 DataSoul/ALMA-7B-R-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 DataSoul/ALMA-7B-R-gguf:Q3_K_M # Run inference directly in the terminal: llama cli -hf DataSoul/ALMA-7B-R-gguf:Q3_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf DataSoul/ALMA-7B-R-gguf:Q3_K_M # Run inference directly in the terminal: llama cli -hf DataSoul/ALMA-7B-R-gguf:Q3_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 DataSoul/ALMA-7B-R-gguf:Q3_K_M # Run inference directly in the terminal: ./llama-cli -hf DataSoul/ALMA-7B-R-gguf:Q3_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 DataSoul/ALMA-7B-R-gguf:Q3_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf DataSoul/ALMA-7B-R-gguf:Q3_K_M
Use Docker
docker model run hf.co/DataSoul/ALMA-7B-R-gguf:Q3_K_M
- LM Studio
- Jan
- Ollama
How to use DataSoul/ALMA-7B-R-gguf with Ollama:
ollama run hf.co/DataSoul/ALMA-7B-R-gguf:Q3_K_M
- Unsloth Desktop
- Docker Model Runner
How to use DataSoul/ALMA-7B-R-gguf with Docker Model Runner:
docker model run hf.co/DataSoul/ALMA-7B-R-gguf:Q3_K_M
- Lemonade
How to use DataSoul/ALMA-7B-R-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull DataSoul/ALMA-7B-R-gguf:Q3_K_M
Run and chat with the model
lemonade run user.ALMA-7B-R-gguf-Q3_K_M
List all available models
lemonade list
- Atomic Chat
Update README.md
Browse files
README.md
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Q3KM will lead to an increase in translation speed and a decrease in quality, if you need better translation quality, it is recommended to use the original version (7B-R, 13B-R)
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the original model card:
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Q3KM will lead to an increase in translation speed and a decrease in quality, if you need better translation quality, it is recommended to use the original version (7B-R, 13B-R)
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prompt="Translate this from Chinese to English:\nChinese: 我爱机器翻译。\nEnglish:"
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Very sensitive to the prescribed formatting, deformatting will result in strange output, please refer to the perset.json in the file for details
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the original model card:
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