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wrapped·Jul 02, 2026
/r/r_mv8n8k9wu1e
your run

qwen2.5-coder

on RTX 4090
159.4
tok/sdecode
RTX 4090 (48GB) + AMD EPYC 7763 64-Core Processor (128c) + 1008GB
rank in tier
8/31RTX 4090 runstop 26%
best workload
chat-short
where the rig flew
slowest workload
chat-long154.7 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
  • Nemotron-3.5-Bolt-74B-A9B-24GB-ctx32k on RTX 5090157.7 tok/s
  • gemma-2-9b-it on RTX 5090152.7 tok/s
  • gpt-oss-20b-MXFP4-Q4 on M3 Ultra152.7 tok/s
share
159.4 tok/s on RTX 4090 running qwen2.5-coder — top 26% of RTX 4090 runs. Signed benchmark via llm-speed.
https://llm-speed.com/wrapped/r_mv8n8k9wu1e
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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.