Round-Robin with llama-server?

<!-- SC_OFF --><div class="md"><p>Hello everyone:) as the title says, I am looking to provide a 48gb workstation to students as an API endpoint. I am using litellm currently and

<!-- SC_OFF --><div class="md"><p>So i recently updated LMstudio after a long pause and updated my llama.cpp runtimes too.. i was shocked.. i thought maybe something like

<!-- SC_OFF --><div class="md"><p>Is there an easy way to know if a model is using CPU/RAM (and not only GPU/VRAM)?<br /> (I think standard verbose output, which got shorter, says

<!-- SC_OFF --><div class="md"><p>this is almost certainly a skill issue, however:</p> <p><code>./llama-bench -hf unsloth/Qwen3.6-27B-GGUF:Q8_0 -sm tensor -ngl 999 -t 1

<!-- SC_OFF --><div class="md"><p>Hello all, the docs for the vLLM production stack suggested <a

<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><a

<!-- SC_OFF --><div class="md"><p>I have been using llama.cpp to run some models recently. For example, I've been running GLM-4.7-Flash with this command <code>.\llama-server.exe