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greplinux @ greplinux @programming.dev
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The Shell Scripting Tutorial: Parsing long command-line arguments with getopt

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  • Bash is everywhere—embedded systems, minimal containers, legacy servers. Zero dependencies, just #!/bin/bash. In constrained environments, you often can't install "proper" languages. It's often the right and only tool for the job.

    • Is there a distro finder?

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  • Though not a tool, DistroWatch is a great resource for an overview of Linux distros. Kudos for exploring the Linux OS.

    • Do you use models developed in China?

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  • VRAM vs RAM:

    VRAM (Video RAM): Dedicated memory on your graphics card/GPU - Used specifically for graphics processing and AI model computations - Much faster for GPU operations - Critical for running LLMs locally

    RAM (System Memory): Main system memory used by CPU and general operations - Slower access for GPU computations - Can be used as fallback but with performance penalty

    So - For basic 7B parameter LLMs locally, you typically need:

    Minimum: 8-12 GB VRAM - Can run basic inference/tasks - May require quantization (4-bit/8-bit)

    Recommended: 16+ GB VRAM - Smoother performance - Handle larger context windows - Run without heavy quantization

    Quantization means reducing the precision of the model's weights and calculations to use less memory. For example, instead of storing numbers with full 32-bit precision, they're compressed to 4-bit or 8-bit representations. This significantly reduces VRAM requirements but can slightly reduce model quality and accuracy.

    Options if you have less VRAM: CPU-only inference (very slow) - Model offloading to system RAM - Use smaller models (3B, 4B parameters)

    • Do you use models developed in China?

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    • Do you use models developed in China?

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  • Absolutely. China's models are very advanced - especially Qwen. I don't code professionally - just for personal projects. If I used these tools as an employee in a company, I'd defer to that company's wishes. Regardless of whether it's U. S. or China, these models are using and probably storing my data for further training. As they should! I don't care - they're providing me with powerful tools. I use free tiers and jump between them all. ChatGPT, Perplexity (general search), DeepSeek, Qwen (advanced programming), Google AI Studio and others. I'm grateful, not fearful.

    • Okay why is your distro the best?

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  • BunsenLabs Boron - Debian 12 with Openbox Window Mgr - no desktop, no icons. The machine is not burdened by having to run a heavy desktop environment. All navigation and execution is done with mouse (right click), keybindings or command line. Linux without the Windows artifacts. On my HP i7, boots to login in 19 seconds.

    • Coincidentally, FFM peg is also something you can find on the hub

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  • Absolutely - very powerful and capable, even just from the Linux command line.