wrapped·Jul 01, 2026
/r/r_0_gs1rgl2flyour run
Coder-V2-Lite-Instruct
on RTX 5090
309
tok/sdecode
RTX 5090 (32GB) + AMD Ryzen 7 9850X3D 8-Core Processor (8c) + 30GB
rank in tier
4/165RTX 5090 runstop 2%
best workload
chat-short
where the rig flew
slowest workload
—
single-workload run
backend
llama.cppllama.cpp is the universal backend — broad model support, modest speed ceiling.
faster than
- Qwen2.5-0.5B-Instruct-4bit on M3 Pro287 tok/s
- stable-code-instruct-3b-4bit on M3 Ultra192 tok/s
- DeepSeek-Coder-V2-Lite-Instruct-4bit on M3 Ultra168 tok/s