Holding machine upgrade waiting for a model?

<!-- SC_OFF --><div class="md"><p>So this is probably a pretty common thing, but I just want to ask in case am not missing something. I have pretty much no knowledge but trying to

<!-- 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>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'm genuinely unsure if I'm doing something wrong, or if the model is just worse, despite the community enthusiasm. I tend to use it with pi

<!-- SC_OFF --><div class="md"><p>Every output token the model generates requires reading the entire KV cache from High Bandwidth Memory.</p> <p>Here's what that actually looks

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1t4uj9h/mtp_on_strix_halo_with_llamacpp_pr_22673/"> <img alt="MTP on strix halo with llama.cpp (PR #22673)"

<!-- SC_OFF --><div class="md"><p>Hi everyone, so I have been playing around with the software side and an RTX 3090, but I'm wondering what hardware I could experiment with to get

<!-- 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