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laya:typed-decisions

10 TagsUpdated 421M params1024 contextEnglishApache-2.0by Convai Innovations

Fine-tuned on typed-decisions workflows: 0.766 accuracy vs 0.727 published for Jev 1.13.

fine-tuned421m
ollaya run laya:typed-decisions --preset triage "I was charged twice for my subscription this month and want a refund."

Details

  • graph7d648ef513e8 · 4 MBonnx · ModernBERT-large · 421M · fp32
  • grapha4e9008a387a · 4 MBonnx · ModernBERT-large · 421M · fp16
  • weights4fa56de72383 · 843 MBhuggingface.co/convaiinnovations/laya/resolve/aa8c91c…/typed-decisions/model.safetensors
  • tokenizer6c8aaa9a5420 · 4 MBhuggingface.co/convaiinnovations/laya/resolve/aa8c91c…/typed-decisions/tokenizer/tokenizer.json
  • decisiona1d3fbc58178 · 479 B{"engine": "onnx", "family": "laya", "encoder": "answerdotai/ModernBERT-large", "layout": "laya-markers-v1", …}
  • calibrationcac4b5f486ad · 353 B{"temperature_by_options": {"choice:3-5": …, "choice:6-10": …, "score:3-5": …, "noul:2": …, "choice:11+": …, "choice:2": …}}
  • licenseec56c3e69fab · 10 KBLaya by Convai Innovations (https://huggingface.co/convaiinnovations/laya)

Every layer is checked against its sha256 when it is pulled. Weights and tokenizers download from the model author's Hugging Face repository at a pinned commit; Ollaya never re-hosts them.

Precision variants

Laya readme and all models