How to use from
llama.cpp
# Gated model: Login with a HF token with gated access permission
hf auth login
Install from brew
brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf pzdrk/pzdrk-R1:F16
# Run inference directly in the terminal:
llama-cli -hf pzdrk/pzdrk-R1:F16
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf pzdrk/pzdrk-R1:F16
# Run inference directly in the terminal:
llama-cli -hf pzdrk/pzdrk-R1:F16
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 pzdrk/pzdrk-R1:F16
# Run inference directly in the terminal:
./llama-cli -hf pzdrk/pzdrk-R1:F16
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 pzdrk/pzdrk-R1:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf pzdrk/pzdrk-R1:F16
Use Docker
docker model run hf.co/pzdrk/pzdrk-R1:F16
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pzdrk-reasoning-1-agi-sota-pro-max-15b

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Model size
15B params
Architecture
phi3
Hardware compatibility
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16-bit

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