Anyone running sm120 CUDA successfully on Windows (llama.cpp)?

<!-- SC_OFF --><div class="md"><p>b9095 finally makes -sm tensor work on dual consumer Blackwell PCIe GPUs without NCCL</p> <p>If youre on dual Blackwell gpus this look like it

<!-- 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/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>I’ve been testing LM Studio on my RTX 5070 Ti (16GB) and Ryzen 9800X3D, running Unsloth Qwen3.5 35B (UD Q4_K_XL).</p> <p>Initially, I thought LM

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<!-- SC_OFF --><div class="md"><p>All repositories either have compiling bugs in Windows or there's zero instructions to compiling at all.</p> </div><!-- SC_ON --> &#32; submitted

<!-- SC_OFF --><div class="md"><p>I have been using it through vllm and faster than other quant types for my RTX 5060ti. Do we have this in llama.cpp yet ?</p> </div><!-- SC_ON

<!-- SC_OFF --><div class="md"><p>Today I set up a full coding toolbox on a single RTX 5080 (with RAM offloading) that's actually viable.</p> <p><strong>Autocomplete</strong>: