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wrapped·Jul 02, 2026
/r/r_pb0jpnbujji
your run

qwen2.5-coder

on RTX 3090
39.9
tok/sdecode
RTX 3090 (24GB) + AMD EPYC 7663 56-Core Processor (56c) + 252GB
rank in tier
4/14RTX 3090 runstop 29%
best workload
chat-short
where the rig flew
slowest workload
—
single-workload run
backend
ollamaollama is llama.cpp under the hood; pure llama.cpp tends to nudge a few % faster.
faster than
  • Qwen2.5-32B-Instruct-4bit on M3 Ultra34.6 tok/s
  • Qwen2.5-Coder-32B-Instruct-4bit on M3 Ultra34.5 tok/s
  • Qwen3-32B-4bit on M3 Ultra34.4 tok/s
share
39.9 tok/s on RTX 3090 running qwen2.5-coder — top 29% of RTX 3090 runs. Signed benchmark via llm-speed.
https://llm-speed.com/wrapped/r_pb0jpnbujji
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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.