Move the video to replay.mp4 for the Video Preview widget
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*.zst filter=lfs diff=lfs merge=lfs -text
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README.md
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Cortex is a compact specialist game policy: **11M trainable parameters** (10.98M exactly) over frozen [DINOv3 ViT-S+/16](https://huggingface.co/facebook/dinov3-vits16plus-pretrain-lvd1689m) features. Trained with pure behavior cloning on the β475-hour Quake subset of the public [Pixels2Play corpus](https://huggingface.co/datasets/elefantai/p2p-full-data) on a single consumer GPU (RTX 5080, 16 GB), it reaches deeper engine-verified route progress on Quake E1M1 than the released [P2P-150M](https://huggingface.co/elefantai/open-p2p) and [NitroGen](https://huggingface.co/nvidia/NitroGen) (β500M) generalist gaming agents evaluated under the same protocol.
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*This checkpoint playing E1M1 from a fresh spawn ([full run on YouTube](https://youtu.be/Ou9NAmFoCOM)).*
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In one sentence: 4 frames Γ 41 frozen DINOv3 tokens β a 6-layer 384-d transformer β 36 held-state logits (sampled at temperature 1) plus continuous mouse dx/dy, at 10 Hz. The full architecture, action-schema contract, and design rationale live in the [cortex-actor repository](https://github.com/kvark/cortex-actor); complete results, evaluation protocol, and negative results are in the [paper](https://github.com/kvark/cortex-actor/blob/main/paper/cortex_quake_bc.md).
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## Files
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- `cortex_quake_bc.pt` β release checkpoint (fp32, 43.9 MB): model weights, architecture arguments, and the embedded action schema. The frozen DINOv3 encoder (28.7M parameters, β39.7M total executed per decision) is **not** included; it downloads separately from Meta under its own license.
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## Usage
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Cortex is a compact specialist game policy: **11M trainable parameters** (10.98M exactly) over frozen [DINOv3 ViT-S+/16](https://huggingface.co/facebook/dinov3-vits16plus-pretrain-lvd1689m) features. Trained with pure behavior cloning on the β475-hour Quake subset of the public [Pixels2Play corpus](https://huggingface.co/datasets/elefantai/p2p-full-data) on a single consumer GPU (RTX 5080, 16 GB), it reaches deeper engine-verified route progress on Quake E1M1 than the released [P2P-150M](https://huggingface.co/elefantai/open-p2p) and [NitroGen](https://huggingface.co/nvidia/NitroGen) (β500M) generalist gaming agents evaluated under the same protocol.
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The Video Preview on this page shows the checkpoint playing E1M1 from a fresh spawn ([full run on YouTube](https://youtu.be/Ou9NAmFoCOM)).
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In one sentence: 4 frames Γ 41 frozen DINOv3 tokens β a 6-layer 384-d transformer β 36 held-state logits (sampled at temperature 1) plus continuous mouse dx/dy, at 10 Hz. The full architecture, action-schema contract, and design rationale live in the [cortex-actor repository](https://github.com/kvark/cortex-actor); complete results, evaluation protocol, and negative results are in the [paper](https://github.com/kvark/cortex-actor/blob/main/paper/cortex_quake_bc.md).
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## Files
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- `cortex_quake_bc.pt` β release checkpoint (fp32, 43.9 MB): model weights, architecture arguments, and the embedded action schema. The frozen DINOv3 encoder (28.7M parameters, β39.7M total executed per decision) is **not** included; it downloads separately from Meta under its own license.
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- `replay.mp4` β a recorded episode of this checkpoint playing E1M1 (rendered in the Video Preview panel).
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## Usage
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rollout.mp4 β replay.mp4
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