autotrust-jev:9b-mlx-bf16

318 4 hours ago

AutoTrust’s decision models return choices, yes/no probabilities, and ratings for the questions you supply

vision decision 9b 35b 
curl http://localhost:11434/v1/systemone \
  -H "Content-Type: application/json" \
  -d '{
    "model": "autotrust-jev:9b-mlx-bf16",
    "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."
        }
      }
    }
  }'

Details

4 hours ago

18e60050218c · 18GB

json
{ "alora_invocation_tokens": null, "alpha_pattern": {}, "arrow_config": null, "auto_mapping": { "bas
json
{ "version": 1, "per_kind": { "noul": 1.0022178236691426, "choice": 0.9840233476014968, "score": 1.0
json
{ "transformers_version": "5.16.1", "architectures": [ "AutoTrustDecision" ], "output_hidden_states"
json
{ "bias": [ 0.00044773018453270197, -0.0004479771596379578, -0.0025878134183585644, -0.0012615364976
json
{ "version": "1.0", "truncation": null, "padding": null, "added_tokens": [ { "id": 248044, "content"
json
{ "add_prefix_space": false, "audio_bos_token": "<|audio_start|>", "audio_eos_token": "<|audio_end|>
license
Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR US
829 tensors

Readme

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.

  • Decisions from your criteria: define the categories or six rating levels that matter to your workflow.
  • Probabilities for every option: use the full distribution when deciding what to automate or send for review.
  • Several questions, one input: ask about the same text or structured state in a single request.

Try it

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.

Publisher results

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.

Credits

Published by AutoTrust: 9B, 27B-VL, and 35B.

Released under Apache 2.0.