I got Kimi-k3 running.....

Reddit r/LocalLLaMA Models

Summary

User successfully runs the Kimi-k3 model using llama.cpp on high-end hardware, achieving low tokens per second (0.41 prompt eval, 0.23 generation).

Results: prompt eval: 40 tokens / 97.5s → 0.41 tok/s eval: 400 tokens / 1769.9s → 0.23 tok/s total: 440 tokens / 1867s (31 min) Prompt: "Write a C++ function that reverses a linked list in place. Explain the pointer manipulation." How I ran it: Using PR#26185 from llama.cpp GitHub Used the same PR for the conversion to GGUF. Hardware: 9965WX PRO 512 GB DDR5 6400 RTX 6000 PRO 96GB x2 PCIE Gen 5 Raid NVME Raid card. 2x 4TB 9100 Pros in Raid 0 (~29 GB/s) Run info: # other params are default, mmap is on (default.) CUDA_VISIBLE_DEVICES=0,1 llama-server \ -m k3-00001-of-00033.gguf \ --n-cpu-moe 93 -ngl 99 -c 8192 -fa on --jinja Next Step: Connect the workstation using 2x 25GbE to the 100GbE Fabric (4xSpark Cluster )using RPC server.
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