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wrapped·Oct 22, 2026
/r/r_vusd3gw5tpg
your run

Sage-A1.5-ctx64k

on RTX 4090
216.6
tok/sdecode
RTX 4090 (24GB)
rank in tier
8/63RTX 4090 runstop 13%
best workload
chat-short
where the rig flew
slowest workload
agent-trace210.4 tok/s
where the rig struggled
backend
llama.cppllama.cpp is the universal backend — broad model support, modest speed ceiling.
faster than
  • gpt-oss-20b on RTX 3090207.2 tok/s
  • Qwen3-Coder-30B-A3B-Instruct on RTX 3090199.7 tok/s
  • Yi-Coder-9B-Chat on RTX 5090199.3 tok/s
share
216.6 tok/s on RTX 4090 running Sage-A1.5-ctx64k — top 13% of RTX 4090 runs. Signed benchmark via llm-speed.
https://llm-speed.com/wrapped/r_vusd3gw5tpg
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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.