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Tool profile

FedericoTs/quantprobe

new

Run a 110B on a 2016 PC with 16 GB RAM. Know your tok/s before you download. Placement beats budget: predicts speed + memory fit for any GGUF on your exact hardware, self-calibrates, emits the exact llama.cpp command — or 'quantprobe auto' does it all. Falsification-tested laws; misses published at full size. pip install quantprobe

benchmarkggufhardware-detectioninferencellama-cppllmlocal-llmmoe
Velocity score
0.00/ 10
[STARS]
60
[FORKS]
6
[CONTRIBUTORS]
0
[LAST_COMMIT]
today
OPEN_ON_GITHUB
Velocity class: new
Is FedericoTs/quantprobe still actively maintained?
[VR]

This tool is in the Velocity Report when it moves. Get the weekly numbers.

Score breakdown
357/ 1000
inference · FedericoTs/quantprobe
Velocity50%
Adoption30%
Maintenance15%
Community5%
[CODE_GROWTH]
236
[INSTALL_VEL]
498
[ACTIVITY]
599
[COMMUNITY_SIGNAL]
0

Terminal score: 0–1000 raw, weighted across 4 dimensions. Public score: 0–10 normalized (shown in the 30-day stars chart above).

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