qwen2.5-coder

on RTX 3090

139

tok/sdecode

RTX 3090 (24GB) + AMD EPYC 7663 56-Core Processor (56c) + 252GB

rank in tier

2/4RTX 3090 runs

best workload

concurrent-decode

where the rig flew

slowest workload

chat-short39.9 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

Qwen2.5-Coder-7B-Instruct-4bit on M3 Ultra139 tok/s
Qwen2.5-14B-Instruct on RTX 5090133 tok/s
Llama-3.1-8B-Instruct-4bit on M3 Ultra130 tok/s

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.