How to use mardakani/Bitnet with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf mardakani/Bitnet:F32 # Run inference directly in the terminal: llama cli -hf mardakani/Bitnet:F32
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf mardakani/Bitnet:F32 # Run inference directly in the terminal: llama cli -hf mardakani/Bitnet:F32
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf mardakani/Bitnet:F32 # Run inference directly in the terminal: ./build/bin/llama cli -hf mardakani/Bitnet:F32
docker model run hf.co/mardakani/Bitnet:F32
How to use mardakani/Bitnet with Ollama:
ollama run hf.co/mardakani/Bitnet:F32
How to use mardakani/Bitnet with Docker Model Runner:
How to use mardakani/Bitnet with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull mardakani/Bitnet:F32
lemonade run user.Bitnet-F32
lemonade list
https://huggingface.co/mardakani/Bitnet/resolve/main/tokenizer.json
hf download hf://mardakani/Bitnet/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/mardakani/Bitnet/resolve/main/tokenizer.json
