iapp-technology/openthai-systemone0.3.0

A Thai-and-English System One model. Qwen3.5-0.8B continued-pretrained on about 5B Thai tokens, its language-model head replaced by a 256-way slot head (slot 255 abstains), trained on 2–3M decision examples and temperature-calibrated per question type.

choicescorenoulclassifyroutesystem-onethaimultilingualqwen0.8b

OpenThai-SystemOne

A Thai-and-English System One model. Qwen3.5-0.8B continued-pretrained on about 5B Thai tokens, its language-model head replaced by a 256-way slot head (slot 255 abstains), trained on 2–3M decision examples and temperature-calibrated per question type.

Version 0.3 scores 74.3% macro across Bespoke's 13 public subsets (Nimble-9B 74.8%, Jev 76.0%); per-subset calibration error ranges from 0.035 to 0.371, with an English median of 0.15. It needs trust_remote_code for its custom architecture, mirrors /v1/systemone, and takes up to 255 options and 2–10 score levels. Latency is 40–48 ms on an H100 with 255 options and 154 ms on an M3 Max. iApp also runs a free hosted endpoint.

What it decides

  • choice — picks one option from a set
  • score — places the input on an ordered scale
  • noul — answers a yes/no question with one calibrated probability
  • classify — assigns a category from a fixed taxonomy
  • route — sends the input to one of several destinations

At a glance

Parameters0.8B
Base modelqwen/qwen3.5-0.8b-base
MakeriApp Technology
Released2026-09-20
Licenseapache-2.0
Reported accuracy74.3%
Reported latency40–48 ms on H100 with 255 options; 154 ms on M3 Max

Get the weights

pip install systemonemodels
systemone pull iapp-technology/openthai-systemone

The files are served from the maker's Hugging Face repository, iapp/OpenThai-SystemOne, and verified against the checksums recorded here.

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