Client-side benchmark of two inference engines serving the same model
(Qwen3.8-27B, 262 K context) on a single NVIDIA GeForce RTX 5090 32 GB,
measured with tool-eval-bench
(v2.5.1.dev30+gded5b8f04, Python 3.14.7): a llama-bench-style
pp/tg throughput sweep (depths 0–32 K, concurrency 1/2/4) and a
69-scenario tool-call quality suite.
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| import csv | |
| from context import Instagram # pylint: disable=no-name-in-module | |
| from time import sleep | |
| # login strings | |
| my_user = 'changeme' | |
| my_pass = 'changeme' | |
| # log in |