convaiinnovations/laya
text-classification model by convaiinnovations
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Model card & documentation
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Multilingual, non-autoregressive System 1 decision model. Give it a state (text, email, ticket, or JSON) and typed questions; it returns typed answers with mathematically calibrated probabilities in a single forward pass (33 ms) across 100+ languages. Trained with reinforcement learning against strictly proper scoring rules (RLCD), so reporting honest probabilities is the only way to maximise reward. It never generates text, so there is nothing to parse and nothing to hallucinate. Python 3.10 or newer. Optional extras: laya[serve] (HTTP server), laya[mcp] (MCP server), laya[langchain] (LangChain and LangGraph), laya[onnx] (ONNX Runtime), laya[fast] (TileLang GPU fast path). Platform-by-platform setup is in the GitHub README. Long documents. laya-multilingual reads up to 8,192 tokens with maxlen=8192. Measured accuracy and time by document length (benchmark script): The same call works in any of 100+ languages. The Router detects the script and language and sends non-English text to laya-multilingual: The shipped checkpoints work zero-shot, but fine-tuning…
Read the full model card ↗ · Preview checked 2026-11-03T01:18:19.208Z
Inside the original model card — Document outline
- Laya
- Installation
- Quickstart
- Fine-tune for better accuracy
- Documentation
- What's new in laya 0.3.20
- Quickstart: Route Mode (Recommended)
- Why Route: The Evidence
- Supplying your own language detection
- Production Preload & Memory
- Single-Model Mode (Direct SDK)
- Self-hosting: Jev-compatible HTTP server
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
convaiinnovations/laya is a text-classification model repository published by convaiinnovations on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-classification
- Library
- transformers
- Recent downloads (30 days)
- 59,083
- Cumulative likes
- 5,889
- Hugging Face trending score
- 54
- Reported safetensors parameters
- 421,293,830
- Architecture
- LayaTypedDecisions
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-18T05:05:55.000Z
- Last modified
- 2026-10-03T18:00:07.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-03T06:52:18.955Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.