facebook/esm2_t33_650M_UR50D
facebook/esm2_t33_650M_UR50D is a facebook record on this register. The Hugging Face model API lists the pipeline tag as fill-mask. The safetensors index gives an exact parameter count of 652,358,616. Architectural context length (max_position_embeddings) is 1,026. The listed licence is mit. The Hub repository was created on 27 Sept 2022, which is the release date this register uses.
Primary source: the Hugging Face model card for facebook/esm2_t33_650M_UR50D. Fields below come from that card, the Hub model API, and the repository’s own config.json when those files exist. A field we cannot source is omitted rather than guessed.
| Organisation | |
|---|---|
| ReleasedRepo creation date on Hugging Face | 27 Sept 2022 |
| Last modified | 21 Mar 2023 |
| ParametersExact, from the safetensors index | 652M 652,358,616 |
| Context lengthmax_position_embeddings — architectural maximum, not necessarily served | 1K 1,026 |
| Licence | mit |
| Pipeline / taskpipeline_tag on the Hugging Face model API | fill-mask |
| File formats | safetensors |
| Librarylibrary_name on the Hugging Face model API | transformers |
| Architecture | esm |
| Layers | 33 |
| Vocabulary | 33 |
| DownloadsAt last check | 4.9m |
| Likes | 103 |
| Gated | No |
How to run
Safetensors weights are on the Hugging Face repository. The parameter count on this page came from that index.
The Hugging Face model API lists the library as transformers.
Load it from huggingface.co/facebook/esm2_t33_650M_UR50D. This page does not add install steps that the Hub files do not state.
Agent capabilities
This model publishes no chat template, so there is nothing to inspect. That is not evidence of missing support — many base models and some releases simply ship without one.
Questions this record can answer
- When was esm2_t33_650M_UR50D released?
- The Hugging Face repository was created on 27 Sept 2022, which is the date this register uses.
- How many parameters does esm2_t33_650M_UR50D have?
- The safetensors index gives 652,358,616 parameters, shown here as 652M. That figure is exact, not rounded.
- What is the context length of esm2_t33_650M_UR50D?
- 1,026 tokens. That is max_position_embeddings from the model's own config.json — the architectural maximum, not necessarily the context a provider serves.
- What licence is esm2_t33_650M_UR50D under?
- The Hub card lists mit.
- Is esm2_t33_650M_UR50D gated?
- No. The Hugging Face model API does not mark this repository as gated.
Where each field came from
- Hugging Face model API — releasedAt, lastModified, downloads, likes, task, license, gated, parameters, libraryName, formats. Checked 18 Oct 2026.
- config.json — contextLength, layers, vocabSize, architecture. Checked 18 Oct 2026.
First recorded 8 Oct 2026, last checked 18 Oct 2026. This record is compiled automatically from the sources above. Where a field is blank, we could not source it and have not guessed. Canonical repository: huggingface.co/facebook/esm2_t33_650M_UR50D.