Instructions to use McaTech/Nonet 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 McaTech/Nonet 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 McaTech/Nonet:Q8_0 # Run inference directly in the terminal: llama cli -hf McaTech/Nonet:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf McaTech/Nonet:Q8_0 # Run inference directly in the terminal: llama cli -hf McaTech/Nonet:Q8_0
Build from source code
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 McaTech/Nonet:Q8_0 # Run inference directly in the terminal: ./build/bin/llama cli -hf McaTech/Nonet:Q8_0
Use Docker
docker model run hf.co/McaTech/Nonet:Q8_0
- Llama new
- LM Studio
- Jan
- vLLM
How to use McaTech/Nonet with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "McaTech/Nonet" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "McaTech/Nonet", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/McaTech/Nonet:Q8_0
- Ollama
How to use McaTech/Nonet with Ollama:
ollama run hf.co/McaTech/Nonet:Q8_0
- Unsloth Desktop
- Docker Model Runner
How to use McaTech/Nonet with Docker Model Runner:
docker model run hf.co/McaTech/Nonet:Q8_0
- Lemonade
How to use McaTech/Nonet with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull McaTech/Nonet:Q8_0
Run and chat with the model
lemonade run user.Nonet-Q8_0
List all available models
lemonade list
- Atomic Chat
Update README.md
Browse files
README.md
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@@ -49,10 +49,6 @@ NONET is intended for lightweight offline use, particularly on local devices lik
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- Local assistants (no internet required)
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- Embedded Android or Python apps
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### Downstream Use
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- Try the **Android app**: [Download ChatNONET APK](https://drive.google.com/file/d/1-5Ozx_VsOUBS5_b4yS40MCaNZge_5_1f/view?usp=sharing)
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### Out-of-Scope Use
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- Long-form text generation
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## How to Get Started with the Model
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```bash
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# Clone llama.cpp and build it
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git clone https://github.com/ggerganov/llama.cpp
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- Local assistants (no internet required)
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- Embedded Android or Python apps
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### Out-of-Scope Use
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- Long-form text generation
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- Avoid over-reliance for personal or legal advice
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## How to Get Started with the Model
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### For Android Devices
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- Try the **Android app**: [Download ChatNONET APK](https://drive.google.com/file/d/1-5Ozx_VsOUBS5_b4yS40MCaNZge_5_1f/view?usp=sharing)
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### You can also build llama.cpp your own and run it
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```bash
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# Clone llama.cpp and build it
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git clone https://github.com/ggerganov/llama.cpp
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