How to use adidsh/indic-speak-int8-onnx with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf adidsh/indic-speak-int8-onnx:Q5_K_M # Run inference directly in the terminal: llama cli -hf adidsh/indic-speak-int8-onnx:Q5_K_M
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf adidsh/indic-speak-int8-onnx:Q5_K_M # Run inference directly in the terminal: llama cli -hf adidsh/indic-speak-int8-onnx:Q5_K_M
# 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 adidsh/indic-speak-int8-onnx:Q5_K_M # Run inference directly in the terminal: ./llama-cli -hf adidsh/indic-speak-int8-onnx:Q5_K_M
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 adidsh/indic-speak-int8-onnx:Q5_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf adidsh/indic-speak-int8-onnx:Q5_K_M
docker model run hf.co/adidsh/indic-speak-int8-onnx:Q5_K_M
How to use adidsh/indic-speak-int8-onnx with Ollama:
ollama run hf.co/adidsh/indic-speak-int8-onnx:Q5_K_M
How to use adidsh/indic-speak-int8-onnx with Docker Model Runner:
How to use adidsh/indic-speak-int8-onnx with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull adidsh/indic-speak-int8-onnx:Q5_K_M
lemonade run user.indic-speak-int8-onnx-Q5_K_M
lemonade list
