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Material-style surfaces, clearer section framing, and stronger scanning cues make the dashboard faster to use.
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TL;DR: We built a prototype translator that lifts text into a small formal language (8 Jungian cognitive terminals + 15 operators), maps expressions to a mathematical schedule of multi-objective dynamics, and renders the result as a time–fr
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Hey peeps, wanted to share what is possible for folks with an inference only single user use case with 1700 in GPU cost. Setup: 4x 5060 ti (16GB) with P2P If you are in the US and you keep an eye on facebook marketplace and places like slic
A megathread that is overdue! Let's discuss and debate on what the best local agents available today are Prologue First a note on terminology: While most regular users are going to have a general sense of what these are, I think its worth a
--n-gpu-layers all --ctx-size 0 --reasoning-budget 0 --presence-penalty 1.1 --repeat-penalty 1.1 How do I figure out the optimal llama.cpp parameters for my setup? llama.cpp + Open WebUI in Docker with an AMD GPU (16GB VRAM) running gemma 4
Been selfhosting my models for a while and I'd really like to integrate Gemma 4 12B as a simple voice assistant with search capabilities. I've tried using openwebui but the search is kind of broken with DDG and I really don't want to use AP