getSTEAV/system-one-games

AI model by getSTEAV

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Three fine-tuned Laya decision models from STEAV's game experiments, together in getSTEAV/system-one-games: Dino, Snake and Tetris. Each game has its own LoRA adapter, trained decision head and calibration. They share a pinned open-source Laya base and one inference package. These models select an action from typed options. They consume text and engineered simulator facts; they do not see game screenshots. Tetris selects from five placements proposed by a heuristic search. Dino reads options that explicitly mark the planner's best move. CID measured the unadapted Laya checkpoint and each fine-tuned candidate on exactly the same internal held-out decisions. The base used its original decision head and calibration temperatures; the candidate used its trained head, LoRA adapter and temperatures fitted on its validation split. Accuracy means choosing the maximum-gold-weight option. Exact metrics, split sizes, duplicate removals, original run identities and SHA-256 provenance are in evidence/comparison.json. These are retained September 24, 2026 measurements,…

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Model overview

getSTEAV/system-one-games is a task-unspecified model repository published by getSTEAV on Hugging Face. The source reports the laya library.

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Model facts

Task: Not reported
Library: laya
Recent downloads (30 days): 0
Cumulative likes: 0
Hugging Face trending score: 0
Reported safetensors parameters: Not reported
Architecture: Not reported
License: apache-2.0
Access: Not gated by Hugging Face
Created: 2026-10-11T06:35:31.000Z
Last modified: 2026-10-11T06:36:49.000Z

Compatibility and lineage

Reported languages: en

Reported base models: convaiinnovations/laya

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