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# Mova 0.5

The files of release 0.5, released on 2026-11-05. The trained models, the corpus, the dictionaries and the school are under [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/), with their sources cited; only the code of Mova is under the Elamur Cosmic License.

Every file is one `.tar.gz` archive, served over HTTPS and by BitTorrent: a `.torrent` file and a magnet link for each. Every torrent has the HTTPS file as its web seed, so it completes even when no peer is online, and our seeder serves them all; trackers: `udp://tracker.opentrackr.org:1337/announce`, `udp://tracker.torrent.eu.org:451/announce`, and the DHT. The full list with every SHA-256 and what each archive holds: [0.5-files.md](https://research.elamur.ai/download/0/0.5/0.5-files.md) (for programs: [0.5-files.json](https://research.elamur.ai/download/0/0.5/0.5-files.json), [SHA256SUMS](https://research.elamur.ai/download/0/0.5/SHA256SUMS)).

## Download

| file | needed | size | licence | BitTorrent | check |
| --- | --- | --- | --- | --- | --- |
| [mova-model-0.5.tar.gz](https://research.elamur.ai/download/0/0.5/mova-model-0.5.tar.gz) — the trained models: `en.bin` (tokenizer, tagger, parser, morphology and lemmas), `gparse/` (the GPU parser) and `coref/gender.tsv` (the coreference noun lexicon) | required | 158M (247M unpacked) | [CC BY-SA 4.0](https://research.elamur.ai/download/0/0.5/LICENSE-model-0.5.txt) | [.torrent](https://research.elamur.ai/download/0/0.5/mova-model-0.5.tar.gz.torrent) · [magnet](https://mova.elamur.ai/free/en/releases/0.5/magnet:?xt=urn:btih:b1766695f5ab0024f2b665e56f1fecc7b06e475d&dn=mova-model-0.5.tar.gz&tr=udp%3A%2F%2Ftracker.opentrackr.org%3A1337%2Fannounce&tr=udp%3A%2F%2Ftracker.torrent.eu.org%3A451%2Fannounce&ws=https%3A%2F%2Fresearch.elamur.ai%2Fdownload%2F0%2F0.5%2Fmova-model-0.5.tar.gz&xs=https%3A%2F%2Fresearch.elamur.ai%2Fdownload%2F0%2F0.5%2Fmova-model-0.5.tar.gz.torrent&xl=165824371) | [SHA-256](https://research.elamur.ai/download/0/0.5/mova-model-0.5.tar.gz.sha256) `bd30339755ad…` |
| [corpus-0.5.tar.gz](https://research.elamur.ai/download/0/0.5/corpus-0.5.tar.gz) — the books of the school's books course, the agreed school treebank (42,457 sentences, the training part), silver (348) and bronze (326) trees, 2,680 maths world scripts, contrast sets | optional | 14M (71M unpacked) | [CC BY-SA 4.0](https://research.elamur.ai/download/0/0.5/LICENSE-corpus-0.5.txt) | [.torrent](https://research.elamur.ai/download/0/0.5/corpus-0.5.tar.gz.torrent) · [magnet](https://mova.elamur.ai/free/en/releases/0.5/magnet:?xt=urn:btih:5a337bb07e82a5b3a853ecc726c8e9111d7344db&dn=corpus-0.5.tar.gz&tr=udp%3A%2F%2Ftracker.opentrackr.org%3A1337%2Fannounce&tr=udp%3A%2F%2Ftracker.torrent.eu.org%3A451%2Fannounce&ws=https%3A%2F%2Fresearch.elamur.ai%2Fdownload%2F0%2F0.5%2Fcorpus-0.5.tar.gz&xs=https%3A%2F%2Fresearch.elamur.ai%2Fdownload%2F0%2F0.5%2Fcorpus-0.5.tar.gz.torrent&xl=14635787) | [SHA-256](https://research.elamur.ai/download/0/0.5/corpus-0.5.tar.gz.sha256) `cf40bbba8f0e…` |
| [dictionaries-0.5.tar.gz](https://research.elamur.ai/download/0/0.5/dictionaries-0.5.tar.gz) — the pupils' explanatory dictionary and the commands dictionary | optional | 6.6M (19M unpacked) | [CC BY-SA 4.0](https://research.elamur.ai/download/0/0.5/LICENSE-dictionaries-0.5.txt) | [.torrent](https://research.elamur.ai/download/0/0.5/dictionaries-0.5.tar.gz.torrent) · [magnet](https://mova.elamur.ai/free/en/releases/0.5/magnet:?xt=urn:btih:743cd89e0ca6201dabf15ea9bcab3b4869e63f8b&dn=dictionaries-0.5.tar.gz&tr=udp%3A%2F%2Ftracker.opentrackr.org%3A1337%2Fannounce&tr=udp%3A%2F%2Ftracker.torrent.eu.org%3A451%2Fannounce&ws=https%3A%2F%2Fresearch.elamur.ai%2Fdownload%2F0%2F0.5%2Fdictionaries-0.5.tar.gz&xs=https%3A%2F%2Fresearch.elamur.ai%2Fdownload%2F0%2F0.5%2Fdictionaries-0.5.tar.gz.torrent&xl=6967239) | [SHA-256](https://research.elamur.ai/download/0/0.5/dictionaries-0.5.tar.gz.sha256) `67dea20b3e17…` |
| [school-0.5.tar.gz](https://research.elamur.ai/download/0/0.5/school-0.5.tar.gz) — the school: the courses and lessons, the school dictionaries and the commands dictionary (`mova fetch 0.5 school`) | optional | 40M (121M unpacked) | [CC BY-SA 4.0](https://research.elamur.ai/download/0/0.5/LICENSE-school-0.5.txt) | [.torrent](https://research.elamur.ai/download/0/0.5/school-0.5.tar.gz.torrent) · [magnet](https://mova.elamur.ai/free/en/releases/0.5/magnet:?xt=urn:btih:a4b0a14846de3528e7beeac540ba2e2f0776278b&dn=school-0.5.tar.gz&tr=udp%3A%2F%2Ftracker.opentrackr.org%3A1337%2Fannounce&tr=udp%3A%2F%2Ftracker.torrent.eu.org%3A451%2Fannounce&ws=https%3A%2F%2Fresearch.elamur.ai%2Fdownload%2F0%2F0.5%2Fschool-0.5.tar.gz&xs=https%3A%2F%2Fresearch.elamur.ai%2Fdownload%2F0%2F0.5%2Fschool-0.5.tar.gz.torrent&xl=41458239) | [SHA-256](https://research.elamur.ai/download/0/0.5/school-0.5.tar.gz.sha256) `d80a8b450cac…` |

From the repository: `./install.sh` fetches and checks the model; `mova fetch 0.5 all` takes every file over HTTPS, `--via torrent` from its .torrent, `--via magnet` from its magnet link, and refuses an archive whose SHA-256 is not the published one. The SHA-256 of `en.bin` 0.5 is `2483516a26a8e17d53c7142df919289cb2a061b37b7b78ae07ae1bba7d41564d`.

The code and instructions of this release: [mova-free at tag v0.5](https://github.com/ElamurAI/mova-free/tree/v0.5) on GitHub; release notes and measurements in [releases/0.5.md](https://github.com/ElamurAI/mova-free/blob/v0.5/releases/0.5.md), the files in [releases/0.5-files.md](https://github.com/ElamurAI/mova-free/blob/v0.5/releases/0.5-files.md).

## What is inside the corpus

| folder | what is inside |
| --- | --- |
| books | the full texts of the books of Mova's school books course: *Alice's Adventures in Wonderland*, *Just So Stories*, *The Wind in the Willows* (Project Gutenberg) |
| treebanks | Universal Dependencies trees: the agreed school (42,457 sentences, the training part; the school's development and test lessons are held out), Mova silver (348) and bronze (326) |
| math-scripts | 2,680 world scripts for word problems from SVAMP and GSM8K |
| contrast | contrast sets: bAbI with new names, places, things and verbs; StepGame phrasings the generator never produced |

Each folder's README says where its data comes from and credits the original sources.
