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Esm2 T33 650M UR50D

huggingface.co·Infrastructure·🇺🇸

ESM2 is a family of transformer-based protein language models developed by Meta AI. The 650M parameter variant (esm2_t33_650M_UR50D) is trained on millions of protein sequences and excels at understanding evolutionary patterns in biology. It is hosted on Hugging Face for inference and fine-tuning by researchers in computational biology and bioinformatics.

Open SourceWebAPI
EEsm2 T33 650M UR50D preview
Visit huggingface.co↗
3alternatives
4features
2022since

Overview

4 features

Esm2 T33 650M UR50D sits in PulseGate's Foundation models & chat category. It focuses on predicting protein properties and structures from amino acid sequences without experimental data. It is built as an open-source project for bioinformaticians. The project is open source (Open Source). Esm2 T33 650M UR50D is available on the web and API.

Behind Esm2 T33 650M UR50D is Meta AI, based in the United States, and it first shipped in 2022. Key capabilities include Masked LM, Protein Modeling, and 650M Parameters. It exposes integrations via a public API.

Summary written by a language model from the project’s public pages.

  • ✓Masked LM
  • ✓Protein Modeling
  • ✓650M Parameters
  • ✓UR50D Dataset
Tags
protein-language-modelesm-familymasked-lmbiological-sequences
AI capabilities
Text
Inference: LocalWeights: Open

Built with & integrations

Hosting
AWS
Connectors
API
Runs on
BrowserAPI-only
Detected from
AWS
x-amz-cf-id header · x-amz-cf-pop header · via header

Trust & compliance

License
Open Source
Verified signals
✓HTTPS✓Privacy Policy✓Terms of Service✓Open Source✓Free tier
Legal
Privacy Policy →Terms of Service →

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed27 Jul · 08:55 UTC
    facebook/esm2_t33_650M_UR50D verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about Esm2 T33 650M UR50D

What is Esm2 T33 650M UR50D?
Esm2 T33 650M UR50D focuses on predicting protein properties and structures from amino acid sequences without experimental data. It is catalogued under Foundation models & chat on PulseGate.
Who should use Esm2 T33 650M UR50D?
Esm2 T33 650M UR50D is an open-source project built for bioinformaticians.
Is Esm2 T33 650M UR50D free?
Yes — Esm2 T33 650M UR50D is open source under the Open Source license and free to use.
What platforms does Esm2 T33 650M UR50D run on?
Esm2 T33 650M UR50D runs on the web and API.
Is Esm2 T33 650M UR50D still active?
Unverified. Esm2 T33 650M UR50D has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What are alternatives to Esm2 T33 650M UR50D?
Similar projects tracked by PulseGate include Esm2 T30 150M UR50D, Esm2 T36 3B UR50D, and Esm2 T12 35M UR50D.Esm2 T30 150M UR50DEsm2 T36 3B UR50DEsm2 T12 35M UR50D
Who makes Esm2 T33 650M UR50D?
Esm2 T33 650M UR50D is developed by Meta AI, based in the United States.
How long has Esm2 T33 650M UR50D been around?
Esm2 T33 650M UR50D first shipped in 2022.

At a glance

Pricing
Open Source
Platforms
Web
Languages
English
License
Open Source
Built for
bioinformaticians
Model
Open source
Solves
Predicting protein properties and structures from amino acid sequences without experimental data.

Registered as

Hugging Face
facebook/esm2_t33_650M_UR50D

Developer

🇺🇸Meta AI

Live coverage

Identity confidence
Medium · 70.4
Indexed
27 Jul 2026
Lifecycle
Alive
Last seen
27 Jul 2026
Identity audit (13)
Slug
facebook-esm2-t33-650m-ur50d-huggingface-co
Lifecycle state recorded
27 Jul 2026
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
27 Jul 2026
Timeline basis
Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from
Derived from the project's own page and URL.
Category from
Derived from the model's own Hugging Face metadata.
Summary from
Written by a language model from public pages.
Languages from
Detected by a language model from page content.
Last updated
6 Aug 2026
Canonical URL
https://huggingface.co/facebook/esm2_t33_650M_UR50D

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