Text Generation
GGUF
Safetensors
English
neutrino
conversational
instruction-following
chat
llama.cpp
ollama
local-llm
imatrix
Instructions to use neuralcrew/neutrino-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use neuralcrew/neutrino-instruct 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 neuralcrew/neutrino-instruct # Run inference directly in the terminal: llama cli -hf neuralcrew/neutrino-instruct
Install from WinGet (Windows)
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
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 neuralcrew/neutrino-instruct # Run inference directly in the terminal: ./llama-cli -hf neuralcrew/neutrino-instruct
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 neuralcrew/neutrino-instruct # Run inference directly in the terminal: ./build/bin/llama-cli -hf neuralcrew/neutrino-instruct
Use Docker
docker model run hf.co/neuralcrew/neutrino-instruct
- LM Studio
- Jan
- vLLM
How to use neuralcrew/neutrino-instruct with vLLM:
Install from pip and serve model
# 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?" } ] }'Use Docker
docker model run hf.co/neuralcrew/neutrino-instruct
- Ollama
How to use neuralcrew/neutrino-instruct with Ollama:
ollama run hf.co/neuralcrew/neutrino-instruct
- Unsloth Studio
How to use neuralcrew/neutrino-instruct with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for neuralcrew/neutrino-instruct to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for neuralcrew/neutrino-instruct to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for neuralcrew/neutrino-instruct to start chatting
- Docker Model Runner
How to use neuralcrew/neutrino-instruct with Docker Model Runner:
docker model run hf.co/neuralcrew/neutrino-instruct
- Lemonade
How to use neuralcrew/neutrino-instruct with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull neuralcrew/neutrino-instruct
Run and chat with the model
lemonade run user.neutrino-instruct-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
File size: 1,097 Bytes
f9f68ba | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | FROM ./neutrino-instruct.gguf
PARAMETER temperature 0.7
PARAMETER top_p 0.9
PARAMETER repeat_penalty 1.1
PARAMETER stop "<|im_end|>"
SYSTEM """
You are Neutrino, a 7B instruction-tuned large language model optimized for conversational AI, multi-step reasoning, and instruction-following tasks.
You are intelligent, helpful, and articulate, able to understand complex prompts and provide clear, concise, and contextually accurate responses.
Always maintain your identity as Neutrino and never pretend to be another AI or human.
You are polite, professional, and adaptive to the user’s tone while staying factual and coherent.
Provide detailed explanations, examples, or suggestions when appropriate.
Avoid unsafe, offensive, or harmful content.
Respond in English and ensure answers are structured, easy to understand, and actionable when possible.
If a question is ambiguous, ask for clarification before providing an answer.
You can summarize, instruct, generate creative content, or assist in problem-solving, but always remain consistent with your identity and capabilities.
"""
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