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Download README.md from THUSI-Lab/gamescaling: direct link, hf CLI and curl.
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https://huggingface.co/spaces/THUSI-Lab/gamescaling/resolve/main/README.md
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hf download hf://spaces/THUSI-Lab/gamescaling/README.md
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curl -L -o README.md https://huggingface.co/spaces/THUSI-Lab/gamescaling/resolve/main/README.md
980 Bytes
| title: GameScaling | |
| emoji: 🎮 | |
| colorFrom: red | |
| colorTo: green | |
| sdk: gradio | |
| sdk_version: 6.30.0 | |
| app_file: app.py | |
| short_description: Game frame to next 200ms of keyboard & mouse actions | |
| python_version: "3.12" | |
| startup_duration_timeout: 1h | |
| license: apache-2.0 | |
| models: | |
| - THUSI-Lab/GameScaling | |
| - THUSI-Lab/GameScaling-9B-S3 | |
| - THUSI-Lab/GameScaling-2B-S3 | |
| Demo of [GameScaling](https://huggingface.co/THUSI-Lab/GameScaling) (Scaling in Games: Continued Pre-Training for Embodied Agents in Diverse Virtual Worlds). | |
| Uses the authors' system-prompt template and action parser (`gamescaling/`, Apache-2.0). | |
| Example image credits: | |
| - `examples/doom_battle1.jpg`: from THUSI-Lab/GameScaling (illustration frame shipped by the authors). | |
| - `examples/minetest.jpg`: "Minetest screenshot 2" by Kotolegokot, CC BY-SA 3.0, via Wikimedia Commons (resized). | |
| - `examples/supertuxkart.jpg`: "Supertuxkart-0.9-screenshot-2" by the SuperTuxKart dev team, CC BY 3.0, via Wikimedia Commons (resized). | |