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Download README.md from MHamdan/KCNA: direct link, hf CLI and curl.
- Browser
- Download file 995 Bytes
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https://huggingface.co/spaces/MHamdan/KCNA/resolve/main/README.md
- Command line
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hf download hf://spaces/MHamdan/KCNA/README.md
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curl -L -o README.md https://huggingface.co/spaces/MHamdan/KCNA/resolve/main/README.md
995 Bytes
| title: KCNA Interactive Learning Lab | |
| emoji: ☸️ | |
| colorFrom: green | |
| colorTo: blue | |
| sdk: docker | |
| app_port: 7860 | |
| pinned: true | |
| short_description: Learn, practice and prepare for the CNCF KCNA exam | |
| models: | |
| - Qwen/Qwen3-4B-Instruct-2507 | |
| - unsloth/Qwen3-4B-Instruct-2507-GGUF | |
| # KCNA Interactive Learning Lab | |
| Interactive Kubernetes and Cloud Native Associate (KCNA) study platform with a grounded AI tutor. | |
| **This Space is deployed automatically from GitHub — do not edit files here.** | |
| Source, docs and issue tracker: https://github.com/MHHamdan/KCNA | |
| - Runs on free CPU hardware. The AI tutor uses an open-weight model through llama.cpp inside this container: no paid inference, no API keys. | |
| - Free Spaces sleep when idle; the first visit after a pause takes a minute or two to wake up. | |
| - Progress is stored in your browser only. Use *Progress & settings → Export* to back it up. | |
| - All practice questions are original and unofficial. Not affiliated with CNCF or the Linux Foundation. | |