🔄 In a Training Loop

ouasdg

ouasdg

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reacted to anakin87's post with ❤️ 4 days ago

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

liked a dataset 10 days ago

datasocial/tiktok-5.6B-videos

liked a model 15 days ago

Lightricks/LTX-2.5-22b-IC-LoRA-SDR-To-HDR

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ouasdg 's Spaces 4

nanoTTS

text-to-speech demo

Dirt TTS

text-to-speech demo

Tacotron

Generate a greeting with a tensor sum

Model Memory Utility