README.md

metadata

title: Jevásio
emoji: ⚖️
colorFrom: green
colorTo: red
sdk: gradio
sdk_version: 6.28.0
python_version: '3.12'
app_file: app.py
short_description: Typed decisions for European Portuguese text
startup_duration_timeout: 1h
license: cc-by-nc-sa-4.0
models:
  - TigreGotico/jevasio-0.8b
  - TigreGotico/jevasio-0.8b-v2
  - TigreGotico/jevasio-4b
  - TigreGotico/jevasio-4b-v2
  - Qwen/Qwen3.5-0.8B-Base
  - Qwen/Qwen3.5-4B-Base
datasets:
  - TigreGotico/jevasio-decisions
  - TigreGotico/jevasio-decisions-v2
tags:
  - decision-model
  - european-portuguese
  - pt-pt

Jevásio

Jevásio is a decision model for European Portuguese (pt-PT). It reads a state, which is a text or a JSON object, and a set of typed questions about it. It returns a probability for each option of each question in one forward pass. It does not generate text.

This Space runs four models on ZeroGPU, in bf16. Pick one with the model selector. The 4B models are more accurate, and the 0.8B models are smaller.

• Jevásio-4B-V2 and Jevásio-0.8B-V2, trained further on more tasks: the language variety of a text, voice commands, news sections, legal areas, sentence relations, offensive language, puns, and translations or summaries with one fact changed. The examples marked (V2) are from those tasks.
• Jevásio-4B and Jevásio-0.8B, the first versions.

Jevásio-4B and Jevásio-0.8B are Kev fine-tuned on the TigreGotico/jevasio-decisions dataset. The V2 models continue from them on TigreGotico/jevasio-decisions-v2.

Request shape

A request follows Kev's System One format (POST /v1/systemone). Keys are English: the state's field names, the question ids and the option names. Values are Portuguese.

{
  "state": {"request": "Fui cobrado duas vezes pela encomenda 1182."},
  "questions": {
    "team": {"type": "choice", "instructions": "Que equipa deve tratar deste pedido?",
             "criteria": {"billing": "Cobranças e reembolsos", "shipping": "Entregas", "returns": "Trocas"}},
    "urgent": {"type": "noul", "instructions": "Este pedido precisa de resposta hoje?"},
    "frustration": {"type": "score", "instructions": "Quão frustrado está o cliente?",
                    "criteria": ["Calmo", "Incomodado", "Muito zangado"]}
  }
}

There are three question types. A choice question picks one of its named options, and each option can have a description. A noul question is yes or no, and the answer is p(yes). A score question picks a level on an ordered list, and the answer is the expected level.

The Perguntas tab builds a request from a form. The Avançado tab takes a raw JSON request and shows the raw JSON answer. The same two functions are on the Gradio API as /decide and /systemone.

How it runs

The Space installs Kev from GitHub at commit 1f04cfa28e6a708485b28a9585010b9e436b776e and loads the model with Kev's own loader, as python -m kev.serve --run TigreGotico/jevasio-0.8b does. The probabilities use the calibration temperature stored in the model's head.pt.

Licence and limits

The models and the dataset are under CC BY-NC-SA 4.0, for non-commercial research only. The model cards list the measured accuracy, the calibration error and the known limits. Do not use the model for decisions with legal, medical, financial or employment consequences without human review.