laya

About laya

Multilingual, non-autoregressive System 1 decision engine. Typed decisions over 100+ languages in a single forward pass — 33 ms — trained with reinforcement learning against strictly proper scoring rules (RLCD), with a router that picks the right checkpoint per request. Laya evaluates typed questions (, , ) over any state (text, email, ticket or JSON document) in a single forward pass — 33 ms for one question, 7.2 ms/question batched, measured on a T4. No text generation, so nothing to parse and nothing to hallucinate.

calibration classification decision-model huggingface jev modernbert multilingual nlp python pytorch

Quick Facts

Stars	33,511
Forks	3,009
Language	Python
Category	未分类
License	Apache-2.0
Quality Score	63.1999483515357/100
Open Issues	85
Last Updated	2026-10-19
Created	2026-09-18
Platforms	python
Est. Tokens	~25k

Compatible Skills

These tools work well together with laya for enhanced workflows:

openJev-verdict-2.0 — semantic(0.42)+complementary+rare_topics+same_lang+shared_platform (64%)
AnyJev — semantic(0.42)+complementary+rare_topics+same_lang+shared_platform (64%)
awesome-jev — semantic(0.25)+complementary+rare_topics+same_lang+shared_platform (62%)

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Frequently Asked Questions

What is laya?

laya is Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per reque. It is categorized as a 未分类 with 33.5k GitHub stars.

What programming language is laya written in?

laya is primarily written in Python. It covers topics such as calibration, classification, decision-model.

How do I install or use laya?

You can find installation instructions and usage details in the laya GitHub repository at github.com/NandhaKishorM/laya. The project has 33.5k stars and 3009 forks, indicating an active community.

What license does laya use?

laya is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

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