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wrapped·Oct 15, 2026
/r/r_c8k6fleym09
your run

LFM2.5-24B-A2B

on RTX 5090
308.5
tok/sdecode
RTX 5090 (32GB) + INTEL(R) XEON(R) GOLD 6530 (64c) + 1008GB
rank in tier
3/178RTX 5090 runstop 2%
best workload
chat-short
where the rig flew
slowest workload
chat-long300.4 tok/s
where the rig struggled
backend
llama.cppllama.cpp is the universal backend — broad model support, modest speed ceiling.
faster than
  • Qwen2.5-0.5B-Instruct-4bit on M3 Pro286.5 tok/s
  • gpt-oss-20b on RTX 4090242.6 tok/s
  • Qwen3-Coder-30B-A3B-Instruct on RTX 4090232.5 tok/s
share
308.5 tok/s on RTX 5090 running LFM2.5-24B-A2B — top 2% of RTX 5090 runs. Signed benchmark via llm-speed.
https://llm-speed.com/wrapped/r_c8k6fleym09
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This is a shareable view of one signed llm-speed suite-suite-v1 run. Numbers are not edited. The raw record has every workload, the public key, and the fingerprint hash.