wrapped·Oct 15, 2026
/r/r_bqmpv9kncydyour run
LFM2.5-24B-A2B
on RTX 4090
231.9
tok/sdecode
RTX 4090 (24GB) + AMD EPYC 7452 32-Core Processor (64c) + 1008GB
rank in tier
2/31RTX 4090 runstop 6%
best workload
chat-short
where the rig flew
slowest workload
agent-trace231.0 tok/s
where the rig struggled
backend
llama.cppllama.cpp is the universal backend — broad model support, modest speed ceiling.
faster than
- Qwen3.6-35B-A3B-Q4_K_M.gguf on RTX 5090224.0 tok/s
- Yi-Coder-9B-Chat on RTX 5090199.3 tok/s
- stable-code-instruct-3b-4bit on M3 Ultra192.5 tok/s