How to use from
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 richardyoung/openbiollm
# Run inference directly in the terminal:
llama cli -hf richardyoung/openbiollm
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf richardyoung/openbiollm
# Run inference directly in the terminal:
llama cli -hf richardyoung/openbiollm
Build 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 richardyoung/openbiollm
# Run inference directly in the terminal:
./build/bin/llama cli -hf richardyoung/openbiollm
Use Docker
docker model run hf.co/richardyoung/openbiollm
Quick Links

OpenBioLLM (Llama3-8B) GGUF

Quantized build of the OpenBioLLM Llama3-8B model for biomedical question answering, packaged for Ollama / llama.cpp runtimes. This release contains the Modelfile exported from the Ollama registry plus the matching GGUF binary.

Variant

Variant Size Blob
latest 7.95 GB sha256-1cdfa5be309b5c9206925746aa8fa60601b3a04bc130d85f3257b65121408178

Usage with Ollama

ollama create openbiollm -f modelfiles/openbiollm--latest.Modelfile
ollama run openbiollm

Source

Originally published on my Ollama profile: https://ollama.com/richardyoung/openbiollm


Built & maintained by Richard Young · DeepNeuro

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