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⚡ 𝒷𝓊𝒾𝓁𝒹𝒾𝓃𝑔 𝓉𝒽𝑒 𝒻𝑜𝓊𝓃𝒹𝒶𝓉𝒾𝑜𝓃𝓈 𝑜𝒻 𝓉𝑜𝓂𝑜𝓇𝓇𝑜𝓌’𝓈 𝓐𝓖𝓘 𝓈𝓎𝓈𝓉𝑒𝓂𝓈 ⚡

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repliedto Quazim0t0's post about 2 hours ago

On-Fly-Jev is up: https://huggingface.co/Quazim0t0/On-Fly-Jev Second Jev-style model. First was Byrne-Jev (70M SpikeWhale). This one is a 96M spiking trunk - every unit is a copy of one of 100 real MaleCNS fly neurons - plus a typed-decision head. One forward pass. No generated text. I built it for speed. Typed-decisions test split, 400 cases, 2,000 decisions, 5 questions per case, local GPU: • 7.3 ms p50 per decision (~137 / s) • 36.6 ms p50 / 53.5 ms p95 per case of 5 • ~27 cases / s Same protocol vs the others: • On-Fly-Jev: 36.6 ms / case, ~137 decisions / s • Byrne-Jev: 110.7 ms / case, ~45 / s • ModernBERT-base: 349 ms / case, ~14 / s • TypeSafe Jev 1.13 (hosted, so network is in it): 710 ms / case, ~7 / s About 3x Byrne-Jev, 9.5x ModernBERT, 19x TypeSafe Jev per case. Live ViZDoom, 1 question per tick including game I/O: 23.4 ms (~43 / s). • Accuracy 0.666 (Byrne-Jev 0.630, Jev 1.13 0.727) • ECE 0.045, same as Byrne-Jev, about a third of Jev 1.13 50/50 merge of two checkpoints from one run. Research artifact, not a chatbot. More videos are on the card.

liked a model 4 months ago

black-forest-labs/FLUX.1-schnell

updated a model 8 months ago

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liked a model 4 months ago

black-forest-labs/FLUX.1-schnell

Text-to-Image • 12B • Updated Aug 16, 2024 • 551k • • 6.06k