176 Downloads Updated 3 hours ago
curl http://localhost:11434/v1/systemone \
-H "Content-Type: application/json" \
-d '{
"model": "autotrust-jev",
"state": "Hello World",
"questions": {
"says_hello": {
"type": "noul",
"instructions": "Does the state text contain a greeting?",
"criteria": {
"true": "The state text contains a greeting.",
"false": "The state text does not contain a greeting."
}
}
}
}'
Updated 3 hours ago
3 hours ago
ae39b218bea7 · 11GB
AutoTrust’s decision models return choices, yes/no probabilities, and ratings for the questions you supply. Use them to route requests, classify documents, or grade an answer against your own criteria.
Route a customer request to the right team:
ollama run autotrust-jev "My card was charged twice for the same order. Please refund the duplicate charge." \
--ask "Which team should handle this request?" \
--choice "billing=Charges, payments, and refunds" \
--choice "shipping=Deliveries and tracking" \
--choice "technical=App errors and account access"
autotrust-jev runs AutoTrust’s 9B text model. For decisions about images, choose autotrust-jev:27b-vl or autotrust-jev:35b.
See the decision documentation for CLI options and the API.
AutoTrust reports these results for its 9B checkpoint on its held-out test_set_30k evaluation:
| Task | Publisher result |
|---|---|
| Yes/no AUROC, all evaluation rows | 0.996 |
| Rating mean absolute error, 0–5 scale | 0.103 |
See AutoTrust’s evaluation for the target distributions, data sources, and methodology.
Published by AutoTrust: 9B, 27B-VL, and 35B.
Released under Apache 2.0.