Model Detail Evidence reviewed

Laya Multilingual

Laya Multilingual is the 322M-parameter mmBERT member of the Laya family for typed decisions across more than 100 languages. The router uses it for non-English state and it supports longer inputs than the English checkpoint, with a 1K normal operating context and an advertised maximum up to 8K. Confidence still requires workload-specific validation and must not be treated as a guarantee.

Convai InnovationsLAYAapache-2.02026-09-18

Deployment and license note

Decision models return bounded choices, scores, or yes/no probabilities instead of long-form text. Public benchmark results are useful for screening candidates, but production thresholds should be calibrated on a labelled set from your own routing, guardrail, or action-selection workflow.

Parameters
0.322B
Dense model
Context window
8K
Maximum decision input
Architecture
mmbert decision head
dense
Quality score
76
Planner signal

Task Fit

Typed DecisionsSupported

Bounded routing, classification, scoring, guardrails, and action selection with structured probabilities.

Code AgentNot a fit

Not marked for code agent in the current library.

CodeNot a fit

Not marked for code in the current library.

ChatNot a fit

Not marked for chat in the current library.

RAGNot a fit

Not marked for rag in the current library.

VisionNot a fit

Not marked for vision in the current library.

Image GenerationNot a fit

Not marked for image generation in the current library.

Video GenerationNot a fit

Not marked for video generation in the current library.

VoiceNot a fit

Not marked for voice in the current library.

OverallStrong coverage
ParametersCurated source
Task fitCurated source
MemoryArtifact metadata
LicensePublished source
BenchmarksPublished source
Hardware fitCalculated

Memory and hardware-fit values are planning estimates unless a tested report is linked.

Variants and Quant Artifacts

Choose the artifact first; hardware fit follows from RAM, VRAM, format, and runtime.

1 artifacts
QuantFormatQualityMin RAMReco RAMRuntimeAction
FP32safetensorshigh4GB8GBlaya, transformers, pytorch Plan with this

Benchmarks

Decision Accuracy34.2%

Sources and compatibility

Hugging Faceconvaiinnovations/laya-multilingual
OllamaNot mapped
EvidenceEvidence reviewed
Artifact sourceOfficial model weights
Default variantLaya Multilingual Decision
Tool callingNot marked

Execution evidence

Run Laya Multilingual with a documented recipe

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No verified recipe is linked to this record yet.

Compatibility estimates remain available in the planner. A recipe appears here only after its exact stack and verification protocol are documented.

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