---
license: mit
base_model: FacebookAI/roberta-large
tags:
  - mirror
  - cuvis-ai
  - roberta
  - text-encoder
---

# RoBERTa-large (mirror)

Byte-identical mirror of [`FacebookAI/roberta-large`](https://huggingface.co/FacebookAI/roberta-large) at revision `722cf37b1afa9454edce342e7895e588b6ff1d59` (original release: <https://github.com/facebookresearch/fairseq>) for the
[Cuvis.AI](https://github.com/cubert-hyperspectral/cuvis-ai) plugins. No fine-tuning,
conversion or re-serialization: the files below are the upstream release as published,
with the upstream licence text in `LICENSE`.

## Why this mirror exists

Cuvis.AI provisions model weights once into a shared cache (`download-model download
<name>` from `cuvis-ai-core`) and then runs its pipelines in an offline, token-free
runtime that only reads that cache. Hosting the exact upstream files under the
`cubert-gmbh` organisation makes that provisioning reproducible (commit-pinned and
sha256-verified) and takes the per-user Hugging Face account and token out of the
users' path.

## Files and provenance

| File | Upstream source | Upstream revision / id | sha256 | Size |
|---|---|---|---|---|
| `model.safetensors` | `FacebookAI/roberta-large` / `model.safetensors` | `722cf37b1afa9454edce342e7895e588b6ff1d59` | `047c85f0b96269cd62e6f732644f067004eebd95af5b5d35965ae2528f13bf38` | 1.42 GB |
| `config.json` | `FacebookAI/roberta-large` / `config.json` | `722cf37b1afa9454edce342e7895e588b6ff1d59` | `82ba49810e6441735e696033ac2512ee09da555507b2917ac3865b202d592cc3` | 0.5 kB |
| `vocab.json` | `FacebookAI/roberta-large` / `vocab.json` | `722cf37b1afa9454edce342e7895e588b6ff1d59` | `9e7f63c2d15d666b52e21d250d2e513b87c9b713cfa6987a82ed89e5e6e50655` | 898.8 kB |
| `merges.txt` | `FacebookAI/roberta-large` / `merges.txt` | `722cf37b1afa9454edce342e7895e588b6ff1d59` | `1ce1664773c50f3e0cc8842619a93edc4624525b728b188a9e0be33b7726adc5` | 456.3 kB |
| `tokenizer.json` | `FacebookAI/roberta-large` / `tokenizer.json` | `722cf37b1afa9454edce342e7895e588b6ff1d59` | `847bbeab6174d66a88898f729d52fa8d355fafe1bea101cf960dd404581df70e` | 1.4 MB |
| `tokenizer_config.json` | `FacebookAI/roberta-large` / `tokenizer_config.json` | `722cf37b1afa9454edce342e7895e588b6ff1d59` | `994f46754c5bf4014f1aa92d34b1374319c3a6b3f702105cd5b742beaecd18ce` | 0.0 kB |
| `LICENSE` | <https://raw.githubusercontent.com/facebookresearch/fairseq/main/LICENSE> | n/a (URL; sha256 pinned) | `52412d7bc7ce4157ea628bbaacb8829e0a9cb3c58f57f99176126bc8cf2bfc85` | 1.1 kB |

Mirrored on 2026-10-09 by Cubert GmbH from the sources above. The sha256 values are the
upstream values; `tools/mirror_weights.py check` in `cuvis-ai-core` re-verifies this
repository against them and against the upstream licence text.

## Licence

MIT License. The `LICENSE` file is the upstream licence text taken verbatim from
<https://github.com/facebookresearch/fairseq> (where RoBERTa was released; the Hugging Face repository declares `license: mit` and ships no LICENSE file) at the mirror date. Copyright remains with the upstream authors; Cubert GmbH
claims no rights in these files.

## Usage with Cuvis.AI

```text
uv run download-model download roberta_large
```

`download-model` (from `cuvis-ai-core`) provisions the file into the shared Hugging
Face cache and verifies its sha256. From cuvis-ai-core 0.16.0 on,
`ModelWeights.resolve("<name>")` returns the cached path and the `cuvis-ai-steervit` nodes
resolve their weights through it, so a pipeline needs no manual step once the
weights are provisioned; earlier plugin releases still fetch from their original
upstream sources.