llama.cpp How to use BricksDisplay/jevling-e2b-v0.1-GGUF with 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 BricksDisplay/jevling-e2b-v0.1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf BricksDisplay/jevling-e2b-v0.1-GGUF:Q4_K_M Install from WinGet (Windows) winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf BricksDisplay/jevling-e2b-v0.1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf BricksDisplay/jevling-e2b-v0.1-GGUF:Q4_K_M 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 BricksDisplay/jevling-e2b-v0.1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf BricksDisplay/jevling-e2b-v0.1-GGUF:Q4_K_M 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 BricksDisplay/jevling-e2b-v0.1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf BricksDisplay/jevling-e2b-v0.1-GGUF:Q4_K_M Use Docker docker model run hf.co/BricksDisplay/jevling-e2b-v0.1-GGUF:Q4_K_M 
