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 sk16er/vero-4b:Q4_K_M# Run inference directly in the terminal:
llama cli -hf sk16er/vero-4b:Q4_K_MUse 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 sk16er/vero-4b:Q4_K_M# Run inference directly in the terminal:
./llama-cli -hf sk16er/vero-4b:Q4_K_MBuild 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 sk16er/vero-4b:Q4_K_M# Run inference directly in the terminal:
./build/bin/llama-cli -hf sk16er/vero-4b:Q4_K_MUse Docker
docker model run hf.co/sk16er/vero-4b:Q4_K_MQuick Links
This is only in production mode i am trying to solve a error If you wanted to download this btw you can go to ollama and can use this locally. sorry for your inconvinence Ollama_link or can also use this locally.
ollama run hf.co/sk16er/vero-4b:Q4_K_M
Vero [Virtual Hero]
This is a light weight llm which you can use locally in your computer with
ollama run shushank/vero
But make sure you have ollama install! If not install from here - Ollama
To exit form this you can use this command
/bye
This is made by shushank
base model is gema by google
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Base model
google/gemma-3n-E4B
Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf sk16er/vero-4b:Q4_K_M# Run inference directly in the terminal: llama cli -hf sk16er/vero-4b:Q4_K_M