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wrapped·Oct 14, 2026
/r/r_ttniv2j74vk
your run

qwen2.5-coder

on RTX 4090
81.2
tok/sdecode
RTX 4090 (24GB) + AMD EPYC 7642 48-Core Processor (48c) + 252GB
rank in tier
24/31RTX 4090 runstop 77%
best workload
chat-short
where the rig flew
slowest workload
chat-long76.6 tok/s
where the rig struggled
backend
ollamaollama is llama.cpp under the hood; pure llama.cpp tends to nudge a few % faster.
faster than
  • Qwen3-Next-80B-A3B-Instruct-MLX-4bit on M3 Ultra80.3 tok/s
  • gemma3 on RTX 309078.7 tok/s
  • Qwen3.8-27B on RTX 509075.4 tok/s
share
81.2 tok/s on RTX 4090 running qwen2.5-coder — top 77% of RTX 4090 runs. Signed benchmark via llm-speed.
https://llm-speed.com/wrapped/r_ttniv2j74vk
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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.