Made the horizontal open-source model for Jev with RLCD, and it surpasses all the Jev benchmarks. HF space, benchmark, model, repo

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Thanks for the exceptional support ( https://www.reddit.com/r/LocalLLaMA/comments/1wijo3e/i_literally_built_the_jev_architecture_one_year/ ) and for the dozens of requests to make a generic model, run benchmarks, and create an HF space so anyone can test it. So here you go, guys. I trained an improved model on a large data corpus, its now called Laya. It is trained on a single RTX 6000 Pro (96 GB VRAM); the model architecture is a 421M-parameter non-autoregressive decision model pairing a bidire