How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf typeof/Monad-GGUF:# Run inference directly in the terminal:
llama-cli -hf typeof/Monad-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 typeof/Monad-GGUF:# Run inference directly in the terminal:
./llama-cli -hf typeof/Monad-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 typeof/Monad-GGUF:# Run inference directly in the terminal:
./build/bin/llama-cli -hf typeof/Monad-GGUF:Use Docker
docker model run hf.co/typeof/Monad-GGUF:Quick Links
typeof/monad-gguf
This model was converted to GGUF format from PleIAs/monad using llama.cpp.
Refer to the original model card for more details on the model.
Use with llama.cpp
Invoke the llama.cpp server or the CLI.
### CLI:
```bash
llama-cli --hf-repo typeof/monad-gguf --hf-file monad-Q4_K_M.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo typeof/monad-gguf --hf-file monad-Q4_K_M.gguf -c 2048
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Model tree for typeof/Monad-GGUF
Base model
PleIAs/Monad
Install from brew
# Start a local OpenAI-compatible server with a web UI: llama-server -hf typeof/Monad-GGUF:# Run inference directly in the terminal: llama-cli -hf typeof/Monad-GGUF: