---
license: other
license_name: nyra-health-non-commercial-research
license_link: LICENSE.md
pipeline_tag: automatic-speech-recognition
tags:
  - crisperwhisper
  - whisper
  - speech-recognition
  - verbatim
  - disfluency
  - word-timestamps
  - mirror
---

# CrisperWhisper 2.0 — MAESTRO mirror

Mirror of [nyra labs' CrisperWhisper 2.0](https://huggingface.co/nyralabs)
checkpoints (verbatim / intended speech recognition with ~30 ms word timings),
laid out for MAESTRO's download-on-demand loader:

| path | upstream | notes |
| --- | --- | --- |
| `small/` | [nyralabs/CrisperWhisper2.0_small](https://huggingface.co/nyralabs/CrisperWhisper2.0_small) | 0.2B params |
| `medium/` | [nyralabs/CrisperWhisper2.0_medium](https://huggingface.co/nyralabs/CrisperWhisper2.0_medium) | 0.8B params |
| `turbo/` | [nyralabs/CrisperWhisper2.0_turbo](https://huggingface.co/nyralabs/CrisperWhisper2.0_turbo) | 0.8B params, 4 decoder layers — fastest |
| `large/` | [nyralabs/CrisperWhisper2.0_large](https://huggingface.co/nyralabs/CrisperWhisper2.0_large) | 2B params — best quality |

Weights are byte-identical to upstream (sha256-verified at mirror time, see
`NOTICE`). No converted (CTranslate2) artefacts are redistributed — MAESTRO
converts on the user's machine. Inference code:
[nyrahealth/CrisperWhisper](https://github.com/nyrahealth/CrisperWhisper) (MIT).

## License

**Non-commercial.** The model weights **and any outputs they generate** are
licensed under the *nyra health Non-Commercial Research License* (Part B of
`LICENSE.md`, reproduced verbatim from upstream). By downloading you agree to
its terms. Commercial licenses are available from nyra health GmbH
(licensing@nyra-labs.com). This mirror adds no restrictions.

> The CrisperWhisper 2.0 model weights are licensed under the nyra health Non-Commercial Research License, © 2026 nyra health GmbH, Vienna, Austria. All rights reserved. Commercial licenses are available from nyra health GmbH. The accompanying inference code is licensed separately under the MIT License.

## Citation

See the upstream model cards and https://arxiv.org/abs/2607.18934.