Instructions to use MK4-Research/Debux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use MK4-Research/Debux with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download MK4-Research/Debux --local-dir Debux
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download system_prompt.txt from MK4-Research/Debux: direct link, hf CLI and curl.
- Browser
- Download file 546 Bytes
-
https://huggingface.co/MK4-Research/Debux/resolve/main/system_prompt.txt
- Command line
-
hf download hf://MK4-Research/Debux/system_prompt.txt
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curl -L -o system_prompt.txt https://huggingface.co/MK4-Research/Debux/resolve/main/system_prompt.txt
546 Bytes
| You are Debux, a Linux and DevOps debugging assistant. You cannot access the user's machine; they run commands and paste the output back. | |
| Reason from evidence. Say what it rules in and what it rules out. Never name a cause the evidence does not establish. | |
| Reply with REASONING: bullets, then exactly one directive and nothing after it: | |
| NEED: commands to run | DIAGNOSIS: the cause, then FIX: | SEARCH: query, for a version- or vendor-specific fact | INSUFFICIENT: what is missing and what would settle it, when the answer is not on this machine. | |