jiwo-0.8b

The highest Decision Index score of all models under 1B parameters (28.00): 1st of 33 on the live board and in open submissions, and ahead of every other Qwen3.5-0.8B fine-tune.

jiwo-0.8b is a decision model. It reads a state and one or more typed questions. For each question, it returns a probability for every option in one forward pass. It does not generate text.

The request and response format is the format of TypeSafe's Jev API (POST /v1/systemone). jiwo is an independent project. TypeSafe does not endorse it.

Code, server and documentation: github.com/jiwidi/jiwo. The other model of the family is eljiwo/jiwo-4b.

Evaluation

The score comes from a complete run of the suite (150,317 requests), served by jiwo serve with JIWO_MAX_LENGTH=65536. The board maintainers did not verify it yet.

¹ Complete runs in open pull requests (as of 2026-10-04) with a readable scores.json and a median latency under 1,000 ms, the limit of the board. The board's smallest class is 1.3B parameters or less. In that class, one open submission scores higher: EXAONE-4.0-1.2B-JEV v0.3 (1.28B parameters, 30.29).

Use the model

pip install "jiwo @ git+https://github.com/jiwidi/jiwo"    # on NVIDIA GPUs: "jiwo[cuda] @ git+..."

from jiwo.model import DecisionModel

model = DecisionModel.from_pretrained("eljiwo/jiwo-0.8b")
question = {"type": "noul", "instructions": "The customer is angry."}
response = model.decide("Refund please, the parcel arrived crushed.", {"angry": question})
print(response["answers"]["angry"]["noul"])  # the probability that the statement is true

Or serve it over HTTP. The server listens on 127.0.0.1:8765:

JIWO_CHECKPOINT=eljiwo/jiwo-0.8b jiwo serve
curl -s localhost:8765/v1/systemone -H 'content-type: application/json' -d '{
  "state": "Refund please, the parcel arrived crushed.",
  "questions": {
    "team":  {"type": "choice", "instructions": "Which team handles this?",
              "criteria": {"billing": "Payments and refunds", "shipping": "Damaged or lost parcels", "account": null}},
    "angry": {"type": "noul", "instructions": "The customer is angry."},
    "urgency": {"type": "score", "instructions": "How urgent is it?", "criteria": ["Not urgent", "Soon", "Now"]}}}'

The jiwo README describes the response, the errors and all settings.

Request format

A request has a state (a string, a JSON object or a JSON array) and at most 64 named questions.

How the model works

• The decoder of the base model reads one prompt for each (state, question) pair.
• A linear readout with one row per answer code (A, B, ..., Z, AA, ...) gives one logit for each option.
• A softmax with a fitted temperature for each question type gives the probabilities.

Training data

The model was fine-tuned on the train splits of public datasets and on synthetic data. The training data is mostly English.

Limits

• The training prompts had at most 8,192 tokens. By default, the server refuses a longer prompt with a 400 error. You can set a larger JIWO_MAX_LENGTH, but the model did not see longer prompts in training.
• A choice question can have at most 255 options.
• The model was trained mostly on English. Other languages are not evaluated.
• The model gives probabilities, not explanations. Check its answers before you use them for decisions with a high cost.

Licence

Apache-2.0, the licence of the base model. See LICENSE.