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

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

https://huggingface.co/adept/persimmon-8b-base/tree/main commit 2833a6f63c1b87c7f4ac574bcf7a15a2f3bf3ede

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GGUF
Model size
9B params
Architecture
persimmon
Hardware compatibility
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