I ran some benchmarks using oMLX tool (I know, not representative, too little sa

<!-- 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>I have been following the akitaonrails coding benchmark which tests against a fixed rails + Rubyllm + docker task rather than vendor-reported

<!-- SC_OFF --><div class="md"><p>Source: <a

<!-- SC_OFF --><div class="md"><p>Working on evaluating some AI-generated outbound (SDR-style emails along with follow-ups), and I’m running into a weird problem. Everyone talks

<!-- SC_OFF --><div class="md"><p>I could not find good data points on what speed one could get with a single 5090 and enough DDR4 RAM. </p> <p>My system: AMD EPYC 7532 32core

<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)"

<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1urrjbv/benchmarking_coding_agents_on_databricks/"> <img alt="Benchmarking Coding Agents on Databricks’

<!-- SC_OFF --><div class="md"><p>PR #22673 (commit 4f13cb7) landed MTP speculative decoding in mainline llama.cpp on May 16. I tested it on two separate rigs.</p> <p>Qwen3.6 27B,