# Mythologic: mimir

> A non-generative decision model: a ModernBERT-Large encoder (419M) with a decision head. Context, question and options go in; a probability per option comes out, with ABSTAINED when no option fits and DEFERRED below certified risk thresholds. English only.

- Page: https://systemonemodels.ai/mythologic/mimir
- API: https://api.systemonemodels.ai/v1/models/mythologic/mimir
- Download: `pip install systemonemodels && systemone pull mythologic/mimir`

## Facts

| | |
|---|---|
| Maker | Mythologic (https://systemonemodels.ai/mythologic) |
| Decides | choice, noul, classify, rank, score, route |
| Architecture | mimir |
| Base model | answerdotai/modernbert-large-instruct |
| Parameters | 419M |
| Licence | MIMIR Model License 1.0 (free below US$1M revenue; hosting needs a deal; non-commercial for us) |
| Availability | Open weights |
| Released | 2026-09-28 |
| Latest version | 2026.09 |

## Reported evaluation

Suite: LocalLLaMA/typed-decisions (2,000 records), exact match at full coverage, the maker's own run. Numbers are the publisher's own.

- Decision accuracy: 72.5%

## Model card

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# MIMIR-1

A non-generative decision model: a ModernBERT-Large encoder (419M) with a decision head. Context, question and options go in; a probability per option comes out, with ABSTAINED when no option fits and DEFERRED below certified risk thresholds. English only.

Published under the Mythologic name by Abderahmane Ainouche, with an Apache-2.0 SDK (mimir-decisions on PyPI). Its decision types are choose, multi-choice, yes/no, verify (supported, contradicted or insufficient), rank, rate and bounded estimate, and each answer names the context passages behind it. The card reports selective-risk thresholds certified on 95,550 held-out records rather than a calibration error. Multilabel and continuous answers defer at every risk level in this release, and inputs are cut into 512-token chunks. In the maker's own runs it scores 0.883 on Banking77, 0.866 on MASSIVE en and 0.840 on BoolQ, and trails on fast-decisions (0.432) and DAIR Emotion (0.080, abstaining on 1,792 of 2,000 records). The MIMIR Model License allows use, including commercial use, below US$1M group revenue; hosting it as a service or redistributing it as a product needs a commercial agreement, so this registry links to the weights and does not mirror or serve them.

## What it decides

- **choice** — picks one option from a set
- **noul** — answers a yes/no question with one probability
- **classify** — assigns a category from a fixed taxonomy
- **rank** — orders a set of items
- **score** — places the input on an ordered scale
- **route** — sends the input to one of several destinations

## At a glance

| | |
|---|---|
| Parameters | 419M |
| Base model | `answerdotai/ModernBERT-Large-Instruct` |
| Maker | Mythologic |
| Released | 2026-09-28 |
| License | MIMIR Model License 1.0 (free below US$1M revenue; hosting needs a deal; non-commercial for us) |
| Reported accuracy | 72.5% |

## Get the weights

```bash
pip install systemonemodels
systemone pull mythologic/mimir
```

The files are served from the maker's Hugging Face repository, [`Mythologic/MIMIR-1`](https://huggingface.co/Mythologic/MIMIR-1), and verified against the checksums recorded here.

## Read more

- [Model card](https://huggingface.co/Mythologic/MIMIR-1)
- [Code and SDK](https://github.com/abderahmane-ai/mimir)

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*This page was opened by System One for Mythologic, who can claim the organisation and take it over at any time.*

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