How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf rob-x-ai/OpenOrca-Platypus2-13B-GGUF:Q4_K_M# Run inference directly in the terminal:
llama cli -hf rob-x-ai/OpenOrca-Platypus2-13B-GGUF:Q4_K_MBuild from source code
git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf rob-x-ai/OpenOrca-Platypus2-13B-GGUF:Q4_K_M# Run inference directly in the terminal:
./build/bin/llama cli -hf rob-x-ai/OpenOrca-Platypus2-13B-GGUF:Q4_K_MUse Docker
docker model run hf.co/rob-x-ai/OpenOrca-Platypus2-13B-GGUF:Q4_K_MQuick Links
This is a more recent quantized GGUF version of OpenOrca-Platypus-13B quantized to 4_K-M respecting the new format from (https://github.com/ggerganov/llama.cpp).
(link to the original model : https://huggingface.co/Open-Orca/OpenOrca-Platypus2-13B)
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Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf rob-x-ai/OpenOrca-Platypus2-13B-GGUF:Q4_K_M# Run inference directly in the terminal: llama cli -hf rob-x-ai/OpenOrca-Platypus2-13B-GGUF:Q4_K_M