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Laya the open source version of Jev

Laya the open source version of Jev. From our March 2025 arXiv paper on sequence conversion trajectories to Laya: a sub-35ms open-weight System 1 decision engine with RLCD, multilingual routing across 100+ languages, and state-of-the-art calibration.

What happened

0Model Weights & CodeClosed proprietary APIOpen-source safetensorsAir-gapped & on-premise capableReal-World Application WorkflowsAcross 9 evaluated enterprise workflows, Laya demonstrates production-ready decision quality:Email Spam Filtering (Enron): 0. 23303), released the model weights on Hugging Face (sales-conversion-model-reinf-learning), published the open dataset (saas-sales-conversations), built a PyPI package, and posted the whole approach on Reddit (r/LocalLLaMA discussion). Instead of staying bitter, I decided to take everything I learned, fix every architectural limitation of the old approach, and build a completely open, horizontal System 1 decision model family: Laya.

2 ms/question batched), making it 6 to 8 times faster than Jev, with full support for over 100 languages, zero API subscription costs, and 100% open-source Apache 2. Resources & CommunityHugging Face Model Hub: convaiinnovations/laya (holds all 3 checkpoints)Live Interactive Space: convaiinnovations/laya-demo (try 8 workflows & multilingual routing live on ZeroGPU)GitHub Repository: github. com/NandhaKishorM/laya (code, router, and reproducible benchmark harnesses on the research branch)PyPI Package: pip install layaKaggle 2xT4 Fine-Tuning Notebook: laya_finetune_typed_decisions_2xT4_kaggle. ipynb (train your own custom System 1 model in ~4 hours on free Kaggle GPUs)ConclusionIt took a year of research, from our March 2025 arXiv paper to today, but the core realization remains: not every AI problem requires an autoregressive chatbot.

And best of all, it is 100% open-source for the entire community. And then in September 2026, a well-funded frontier lab called TypeSafe AI (founded by Diogo Almeida, a co-inventor of ChatGPT at OpenAI) launched Jev.

The wider picture

Except they launched without technical papers, without open weights, and with zero open training datasets. My earlier model used PPO over sequence representations to output turn-by-turn conversion trajectories (probabilities from 0. The Three Decision PrimitivesLaya evaluates typed questions over any state (raw text, email, ticket, or JSON document) in a single forward pass. We released three specialized checkpoints, now consolidated under a single repository hub on Hugging Face:CheckpointBackbone EncoderParamsContextPrimary Strengthconvaiinnovations/layaModernBERT-large421M512English text classification, guardrails, email triageconvaiinnovations/laya-multilingualmmBERT-base (256k vocab)322M1024 (up to 8k)100+ languages, 2.

2x faster, cross-lingual NLIconvaiinnovations/laya-typed-decisionsModernBERT-large421M1024Agent observability, customer service, invoice processing, security alerts (0. 5 GB of combined weights, the main repository convaiinnovations/laya bundles all three. Using Hugging Face's allow_patterns, Laya's SDK downloads only the specific subfolder requested:# Downloads English model (~808 MB) agent_en = laya. load("convaiinnovations/laya") # Downloads ONLY the multilingual subfolder (~647 MB), not the entire 2. 5 GB bundle agent_ml = laya. load("convaiinnovations/laya", subfolder="multilingual")4.

What has been reported

Why Routing Is Essential: The Multi-Script RealityOne of the most eye-opening findings from our 51-language sweep on the MASSIVE benchmark (20 options, random baseline = 0. Sub-Millisecond Pure Python RoutingLaya includes a built-in Router that inspects the Unicode scripts of incoming text across 22 alphabets (Devanagari, CJK Han, Cyrillic, Arabic, Hebrew, Tamil, Thai, etc. ) and analyzes Latin stopword distributions:Standard English text: 0. Head-to-Head: Laya (with Routing) vs TypeSafe JevWe benchmarked Laya directly against TypeSafe Jev across public datasets and standard benchmarks.

Every Laya number is measured; Jev numbers are published by third-party independent studies (AbdelStark, nibzard) and TypeSafe AI. 0Laya (Routed)Advantage / Deltatyped-decisions (2,000 decisions)0. Honest Limitations: Where Laya Has CeilingsToo many AI announcements hide their weaknesses. We believe in engineering honesty:Choice questions degrade with >20 options: In our stress test on Banking77 (77 labels), Laya scored 0. Treat Laya as a fast foundation model to specialize, not as an omniscient zero-shot oracle.

What happens next

Quickstart: Running Laya in 30 Secondspip install laya>=0. 3Here is a complete example running multi-schema decisions with automatic language routing:import laya from laya import Router # Initialize router with preloading (avoids swap delay) router = Router(preload=True) # Define complex state ticket = { "ticket_id": "TCK-8821", "customer": "enterprise_user", "subject": "System downtime and billing dispute", "body": "Our production API has been failing since 6 AM. Skip NavigationMarketsBusinessInvestingTechPolitics & PolicyVideoWatchlistInvesting ClubPROLivestreamMenuKey PointsJPMorgan Chase CEO Jamie Dimon is set to attend President Donald Trump's state dinner for Chinese leader Xi Jinping in Washington, a source told CNBC.

OpenAI CEO Sam Altman and Nvidia chief Jensen Huang are also reportedly planning to attend the state dinner. Angela Weiss | Afp | Getty ImagesJPMorgan Chase CEO Jamie Dimon and Citigroup chief Jane Fraser are set to attend President Donald Trump's state dinner for Chinese leader Xi Jinping in Washington next week, sources familiar with the matter told CNBC on Friday. The White House did not immediately respond to CNBC's requests for comment on the information from the sources, who requested anonymity to discuss the guest list that has not been made public.

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The report has been compiled by Press Orb using information reported across laya.convaiinnovations.com, newsroom.usra.edu, cnbc.com. Details are presented according to the information available at the time of publication and may change as authorities, organisers or other relevant parties provide updates.

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