Amos 1 mini

A 0.5B decision model. Give it a case (text, JSON or a photo) and a schema of typed questions; it answers every question in one forward pass, each with a probability for every answer you allow. It writes no text, so there is nothing to parse and no malformed output. Small enough to run on a laptop CPU, with no GPU: about 93 ms a request. The hosted API's default.

Part of the Amos 1 family: large · medium · small · mini. Playground · API docs · Model page

Results

Typed decisions, test split: 2,000 decisions from four workflows it never trained on, zero-shot.

Rivals run by us on the same 2,000 decisions, except Decider 1, whose number is its makers' own.

With each question's priors fitted on the benchmark's own train split and applied at answer time (the weights do not change), as Decider 1 also reports: 70.25% (Decider 1: 80.1%).

Decision Index 0.3, public part, with the board's own kit: 17.35. The board's ranking adds private tests that only its maintainers run.

Use

Hosted, no key: POST https://api.amos.scira.ai/v1/systemone with "model": "amos-1-mini".

Or run it yourself. The serving package is in serve/ (Python 3.12, PyTorch 2.14; versions pinned to the ones these numbers were measured with):

hf download mukaddamzaid/amos-1-mini --local-dir amos-1-mini
pip install ./amos-1-mini/serve
python -m amos.serve amos-1-mini --device cpu --port 8000
curl http://127.0.0.1:8000/v1/systemone -H 'Content-Type: application/json' -d '{
  "state": "Invoice INV-2231 for £306.00 was charged to my card twice. Please refund one.",
  "questions": {
    "refund": {"type": "noul", "instructions": "Is the customer asking for a refund?"},
    "team": {"type": "choice", "instructions": "Which team should handle this?",
             "criteria": {"billing": null, "technical": null, "sales": null}}
  }
}'

Question types: yes/no (noul), pick one (choice), rate (score), pick any (multi), quote (span) and point (region, with a photo in images). It runs on a laptop CPU and reads up to 9,216 tokens per request.

Limits

• Simple decisions only. It knows little beyond the case.
• Twelve points behind medium on typed decisions.
• Points land on the named object in 50% of RefCOCO photos.
• Reads 9K tokens per pass. English only.