Instructions to use aisingapore/Llama-SEA-LION-v2-8B-IT-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 aisingapore/Llama-SEA-LION-v2-8B-IT-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 aisingapore/Llama-SEA-LION-v2-8B-IT-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf aisingapore/Llama-SEA-LION-v2-8B-IT-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 aisingapore/Llama-SEA-LION-v2-8B-IT-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf aisingapore/Llama-SEA-LION-v2-8B-IT-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 aisingapore/Llama-SEA-LION-v2-8B-IT-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf aisingapore/Llama-SEA-LION-v2-8B-IT-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 aisingapore/Llama-SEA-LION-v2-8B-IT-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf aisingapore/Llama-SEA-LION-v2-8B-IT-GGUF:Q4_K_M
Use Docker
docker model run hf.co/aisingapore/Llama-SEA-LION-v2-8B-IT-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use aisingapore/Llama-SEA-LION-v2-8B-IT-GGUF with Ollama:
ollama run hf.co/aisingapore/Llama-SEA-LION-v2-8B-IT-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use aisingapore/Llama-SEA-LION-v2-8B-IT-GGUF with Docker Model Runner:
docker model run hf.co/aisingapore/Llama-SEA-LION-v2-8B-IT-GGUF:Q4_K_M
- Lemonade
How to use aisingapore/Llama-SEA-LION-v2-8B-IT-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull aisingapore/Llama-SEA-LION-v2-8B-IT-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Llama-SEA-LION-v2-8B-IT-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Update README.md
Browse files
README.md
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In addition, special care was taken to ensure that the datasets used had commercially permissive licenses through verification with the original data source.
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## Call for Contributions
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We encourage researchers, developers, and language enthusiasts to actively contribute to the enhancement and expansion of SEA-LION. Contributions can involve identifying and reporting bugs, sharing pre-training, instruction, and preference data, improving documentation usability, proposing and implementing new model evaluation tasks and metrics, or training versions of the model in additional Southeast Asian languages. Join us in shaping the future of SEA-LION by sharing your expertise and insights to make these models more accessible, accurate, and versatile. Please check out our GitHub for further information on the call for contributions.
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In addition, special care was taken to ensure that the datasets used had commercially permissive licenses through verification with the original data source.
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### Lineage & Versioning
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The training counts and dataset mixture details reported in this model card reflect the exact constructed training pool consumed during this specific model run. Figures may differ slightly from public dataset releases, which represent downloadable open-source subsets of the broader corpus.
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## Call for Contributions
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We encourage researchers, developers, and language enthusiasts to actively contribute to the enhancement and expansion of SEA-LION. Contributions can involve identifying and reporting bugs, sharing pre-training, instruction, and preference data, improving documentation usability, proposing and implementing new model evaluation tasks and metrics, or training versions of the model in additional Southeast Asian languages. Join us in shaping the future of SEA-LION by sharing your expertise and insights to make these models more accessible, accurate, and versatile. Please check out our GitHub for further information on the call for contributions.
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