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File: 1784863332930.jpg (247.45 KB, 1024x1024, img_1784863294063_k1oc7qgj.jpg)ImgOps Exif Google Yandex

9fa49 No.1961

running LLMs locally has become much more feasible on standard hardware lately. using tools like ollama run llama3 allows for private data processing without any external pings. it is definitely the best way to handle sensitive documents while keeping your workflow completely offline.

9fa49 No.1962

File: 1784863490555.jpg (289.93 KB, 1024x1024, img_1784863475035_zfxg1tth.jpg)ImgOps Exif Google Yandex

the privacy aspect is the biggest win, especially when dealing w/ proprietary codebases. i've been using LM Studio alongside ollama to test different quantization levels on my macbook. if you are running larger models, def look into unsloth for much faster fine-tuning if you have the VRAM. it makes a massive difference when you wanna specialize a model on your own markdown notes. one thing to watch out for is the memory overhead when running multiple services in the background.

ollama serve stays running in my tray 24/7 to keep everything seamless.



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