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π
In a Training Loop
4.4
TFLOPS
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135
Reuben fernandes
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Reubencf
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Reubencfernandes
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I am excited to announce that I have nothing to announce
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# π₯ Nova-1 Beta: Test Our New LLMs! **Smilyai Labs** is building **Nova-1** β open-source LLMs with novel architectures. Join our beta program! ## π― Available Now: **Nova-1-Standard (1.2B)** β Phase 2 of pretraining in progress - PPL 13.5 (beats GPT-2 Large!) - 48K tok/s on consumer GPUs - Great for code, reasoning, edge deployment **Nova-1-Large (3.5B)** β Training live RIGHT NOW - Current: 30.9 PPL, improving fast, loss at 3.5 right now - Will finish with ~1.7B tokens today - Better reasoning & longer context **Nova-1-XL (10B MoE)** β Coming soon (We dont know yet! haha) - Final Specs not decided yet ## What Makes Nova Special? β¨ **Mixture of Depths (MoD)** β Routes tokens dynamically, 30% faster β¨ **Grouped Query Attention** β Efficient like LLaMA 2/3 β¨ **Phased Training** β Fresh 1B tokens each phase (no overfitting!) β¨ **RoPE** β Context extendable to 8K+ ## π€ Join Beta Testing: π **[Smilyai-labs-beta-testers](https://huggingface.co/Smilyai-labs-beta-testers)** Get early access, shape the roadmap, and help build transparent open-source AI!
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