NIRNAY 450M
Apache-2.0 local decision classifier built on Laya, returning probabilities for intent, choice, score and yes/no questions instead of generated text.
Why it matters
Ships a downloadable checkpoint and evaluation files; author reports 87.9% on Banking77 after fine-tuning. Its Jev comparison is fine-tuned versus zero-shot, not a like-for-like model ranking; context is limited to 512 tokens.
What you could build with it
Build a local banking-support intent router with a confidence threshold for human handoff, then validate calibration and accuracy on held-out customer messages before deployment.
First spotted on Hugging Face model card and developer launch post: source.
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