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Banaxi PRO

Banaxi-Tech
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AI & ML interests

SLMs, training from scratch, LoRA, TTS, Ternary models. AI Interpretability. BCI. Contact at banaxitech@gmail.com

Recent Activity

posted an update about 3 hours ago
Hi everyone! We've seen some people getting confused with the BananaMind Leaderboards so ill explain! We have 2 leaderboards, THESE are NOT the same, first https://huggingface.co/spaces/BananaMind/BananaMindBench-Leaderboard which is ONLY for BananaMind Base Bench 1.1. The 10/10 scores do NOT mean that the benchmark is saturated. It isnt saturated, these models score 10/10 because they are the current best models, our /10 ranking system works by taking the ELO scores and then comparing them to the scores in the same size range. So if a better model releases that gets 10/10 and the others get lower. And we also have the BananaMind SLM leaderboard, not the BananaMindBench leaderboard which uses ARC EASY,PIQA,Hellaswag, Arithmark 3 and the BananaMind Base Bench 1.1. This is the newer and recommended version. Hope you understand it now! cODeQ
repliedto DedeProGames's post about 3 hours ago
We are introducing BananaMind CodeQ, our family of models for coding and agentic reasoning. Possible Confirmed sizes: - 9B - 2B Please give a follow to https://huggingface.co/BananaMind if you support our work.
new activity about 3 hours ago
DedeProGames/Kiyo-135M-0960:Kiyo-135M-0960 and Kiyo-135M are byte-identical to SmolLM2-135M intermediate checkpoints (step-960000 and step-240000)
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