How to use Luigi/sloth-ime-models with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf Luigi/sloth-ime-models # Run inference directly in the terminal: llama cli -hf Luigi/sloth-ime-models
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Luigi/sloth-ime-models # Run inference directly in the terminal: llama cli -hf Luigi/sloth-ime-models
# 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 Luigi/sloth-ime-models # Run inference directly in the terminal: ./llama-cli -hf Luigi/sloth-ime-models
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 Luigi/sloth-ime-models # Run inference directly in the terminal: ./build/bin/llama-cli -hf Luigi/sloth-ime-models
docker model run hf.co/Luigi/sloth-ime-models
How to use Luigi/sloth-ime-models with Ollama:
ollama run hf.co/Luigi/sloth-ime-models
How to use Luigi/sloth-ime-models with Docker Model Runner:
How to use Luigi/sloth-ime-models with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Luigi/sloth-ime-models
lemonade run user.sloth-ime-models-{{QUANT_TAG}}
lemonade list
https://huggingface.co/Luigi/sloth-ime-models/resolve/main/score_vs_latency.svg
hf download hf://Luigi/sloth-ime-models/score_vs_latency.svg
curl -L -o score_vs_latency.svg https://huggingface.co/Luigi/sloth-ime-models/resolve/main/score_vs_latency.svg
