Smart model, slow model, dumb model, fast model

<!-- SC_OFF --><div class="md"><p>There are so many options now — GPT, Claude, Gemini, etc.</p> <p>I find myself switching depending on what I’m doing (coding, writing, research),

<!-- SC_OFF --><div class="md"><p>For example, I could fit both the Qwen3.6-27b(dense) and Qwen3.6-35b(Moe) on my system. The 35b is a lot snappier than the 27b, but I strongly

<!-- SC_OFF --><div class="md"><p>I am amazed by the development of locallm in the coding area. Right now im Testing Qwen3.6 27b and it works quite well, even tho this is not made

<!-- SC_OFF --><div class="md"><p>I apologize if this is low-effort, but I’m curious about where and how people are successfully combining frontier and local models to accomplish

<!-- SC_OFF --><div class="md"><p>Hello everyone,</p> <p>I’m looking for an AI that runs entirely locally on my PC, without needing an internet connection.</p> <p>I’d like it to

<!-- SC_OFF --><div class="md"><p>so as it says, I am not a FE eng, but want to do some light FE work<br /> I don't need the smartest model but need to get some work done.<br /> I

<!-- SC_OFF --><div class="md"><p>I read this sub every day and I keep seeing benchmarks and discussions focused almost entirely on tokens/s generation speed. Prompt processing

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s1ckkm/why_llms_sound_right_but_fail_to_actually_do/"> <img alt="Why LLMs sound right but fail to actually