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AxionLab

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AI & ML interests

Owner of SupraLabs and iGPU Lover

Recent Activity

liked a model about 7 hours ago
DinoResearch/Dino-50-v1
new activity about 7 hours ago
AxionLab-official/RizzAura-100k:Ngl, making a joke model soon 👀
reacted to Banaxi-Tech's post with 🧠 about 8 hours ago
Introducing BananaMind 2 Nano BananaMind 2 Nano is the smallest member of the BananaMind 2.0 family — a 10M-parameter language model that shows how much you can squeeze out of a tiny footprint. It uses the family's digit-isolated tokenizer, so it keeps solid arithmetic despite its size, and it's small enough to run just about anywhere. Trained on 30B tokens in about a day on a single RTX 5070 Ti (16GB), 4096-token context. Benchmarks: Average 35.77 ARC Easy 36.20 PIQA 55.98 ARC Challenge 23.38 HellaSwag 27.50 That 35.77 average edges out Pythia-31M (~34.79) at roughly a third the parameters. Released under Apache 2.0 on Hugging Face: https://huggingface.co/BananaMind/BananaMind-2-Nano — weights, tokenizer, and config included.
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