<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1vbo0i7/kimi_k3_in_reality/"> <img alt="KIMI K3 IN REALITY"
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1vw4p4s/running_ollama_lfm2526b_on_igpu_on_linux/"> <img alt="Running Ollama LFM2.5-2.6B on iGPU on Linux"
<!-- 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
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1sarlb8/gemma_4_running_on_raspberry_pi5/"> <img alt="Gemma 4 running on Raspberry Pi5"
<!-- SC_OFF --><div class="md"><p>Just ran some llama-bench comparisons between ROCm and Vulkan backends on my Strix Halo system. Vulkan came out ahead, which surprised me.</p>
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s7z7hj/llamacpp_at_100k_stars/"> <img alt="llama.cpp at 100k stars"
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1ubk1pl/fable_vs_glm_52_vs_kimi_k27_youtube_vid/"> <img alt="Fable vs GLM 5.2 vs KIMI K2.7 (Youtube VID)"
<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)"
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