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Independent publisher

Bartosz Lenart

grasant

Models in Library1
Datasets in Library0
Models on Hugging Face2
Followers2

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This profile connects the 1 model and dataset record shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

Published tasks: Tabular regression.

Reported licenses: apache-2.0. Open a record to review its specific license and conditions.

Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.

Models

Model · Tabular regression

canrun-fps-predictor

Bartosz Lenart

A small tabular model that estimates the native frame rate of a PC game at 1080p, 1440p or 4K from two things you can know before buying or installing: the PC's hardware scores and the game's Steam store requirements. It is the FPS engine of the CanRun G-Assist plugin and runs with the Python standard library alone. Real-world accuracy: on independent benchmarks the model alone is a median 18.9% off on recent games and NVIDIA cards, and 37% to 39% off on other test sets. The full CanRun app, which adds benchmark curves and live Steam store lookups, is 15.2% off end to end. No Steam player FPS data is used anywhere. Treat every prediction as a rough estimate, good for "will this run at 60…

Open weights apache-2.0 generic