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Nilky

NILKNARFGonzo
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AI & ML interests

i want small fun! im making a model that fits on 4 floppy disks... which is gonna take multiple months!!! all of my stuff is made in the eastern us

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reacted to Jiaqi-hkust's post with 🚀 about 5 hours ago
🧠 Remember-R1: Our fix for MLLMs forgetting the image during long reasoning We noticed a frustrating problem: when multimodal models reason over long chains, they gradually stop looking at the image—and start hallucinating based on their own text. So we built Remember‑R1, a simple RL framework that directly supervises visual attention on the original reasoning trajectory—no inference overhead, no proxy tasks. We use three complementary rewards: coverage, persistence, and focus. They encourage the model to keep attending to relevant visual evidence even in later reasoning steps. Results across 7 benchmarks and 2 model sizes: better reasoning, and—more importantly—visual attention decays much more slowly during generation. No extra cost at inference, just cleaner supervision where it counts. 📄 Paper: https://arxiv.org/abs/2608.01314 💻 Code: https://github.com/Ch921-cell/Remember-R1 Happy to answer any questions and receive feedback! #MultimodalAI #RL #MLLM #CoT #VisualReasoning
updated a model about 5 hours ago
NILKNARFGonzo/floppyx4-nonsensicalEssential-base
repliedto Banaxi-Tech's post about 5 hours ago
We're exited to announce BananaMind OS, our OS specically for running BananaMind models! Its able to run BananaMind 2 Nano at 4 bit on only 7-8MB of ram, the 2 bit on 6MB of ram and the 8 bit version on 14MB of RAM! It runs on a 486 or newer! Check out this video and image running BananaMind 2 Nano 4 Bit on 9 MB of RAM and a emulated 486 in QEMU at ~1TPS! We asked it: "What is the first letter of the alphabet?" The response is: "The first letter of the alphabet is: - A. " And if you're asking because of the video, yes I am a arch btw. Comment and like this post for a GitHub link and comment for adding other models!
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