How to use neuralcrew/neutrino-instruct with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf neuralcrew/neutrino-instruct # Run inference directly in the terminal: llama cli -hf neuralcrew/neutrino-instruct
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf neuralcrew/neutrino-instruct # Run inference directly in the terminal: llama cli -hf neuralcrew/neutrino-instruct
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 neuralcrew/neutrino-instruct # Run inference directly in the terminal: ./build/bin/llama cli -hf neuralcrew/neutrino-instruct
docker model run hf.co/neuralcrew/neutrino-instruct
How to use neuralcrew/neutrino-instruct with vLLM:
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "neuralcrew/neutrino-instruct" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "neuralcrew/neutrino-instruct", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'
How to use neuralcrew/neutrino-instruct with Ollama:
ollama run hf.co/neuralcrew/neutrino-instruct
How to use neuralcrew/neutrino-instruct with Docker Model Runner:
How to use neuralcrew/neutrino-instruct with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull neuralcrew/neutrino-instruct
lemonade run user.neutrino-instruct-{{QUANT_TAG}}
lemonade list
Can you do the standard benchmarks for ~7B models on this model please?
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