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In a Training Loop
49661522.0
TFLOPS
ouasdg
ouasdg
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I made a 1.1M ModernBERT encoder play Doom in real time on a CPU Some time ago, VAGO Solutions released SauerkrautLM-Doom-MultiVec-1.3M, a tiny model trained to play Doom Defend the Center scenario from 31k human gameplay examples. My first thought: cool! I love both Doom and Small Language Models. Then another idea: I bet I can do better :-) What I did? - evaluated the original model and found it's better than reported - changed a bit the architecture - generated SFT data with a scripted oracle - SFT + PPO refinement on consumer hardware Got a smaller, faster and killer model Can even fit a floppy with int8 quantization 💾 Watch it play/read the article: https://huggingface.co/spaces/anakin87/tiny-doom-defender
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Organizations
ouasdg
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15
Sort: Recently updated
ouasdg/dirt
Updated
Jun 6
ouasdg/vilex
Updated
Jan 21
ouasdg/midilm
Updated
Nov 17, 2025
ouasdg/kontext-nf4-depth-lora
Updated
Sep 22, 2025
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14
ouasdg/hertz
Updated
Apr 18, 2025
ouasdg/sd-ft
Updated
Nov 11, 2024
ouasdg/ttstest
Updated
Mar 27, 2024
ouasdg/tinyllama-pedia
Text Generation
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1B
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Updated
Jan 29, 2024
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14
ouasdg/phi-pedia
Text Generation
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1B
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Updated
Jan 25, 2024
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23
ouasdg/gpt2-pedia
Text Generation
•
Updated
Jan 23, 2024
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16
ouasdg/distilbert-imdb
Text Classification
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67M
•
Updated
Dec 18, 2023
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7
ouasdg/gpt-draw
Text Generation
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Updated
Nov 9, 2023
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12
•
2
ouasdg/redpj3B-lora-int8-alpaca
Updated
Sep 26, 2023
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11
ouasdg/brokenizer
Updated
Sep 1, 2023
ouasdg/fokentoken
Updated
Jul 27, 2023