Model type
Masked-token protein transformer encoder
ESM-2 is a family of protein sequence encoders that produce representations for downstream protein analyses.
Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation.
Masked-token protein transformer encoder
Single amino-acid sequences.
Residue embeddings, sequence representations and masked-token predictions.
Official project documentation and implementation: https://github.com/facebookresearch/esm
Source reviewed · Automated source review, 2026-09-16. All specifications and missing details
1 evaluation · 5 metric rows. Different protocols are not a single leaderboard.
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Source checking is not independent reproduction. Release 2026-09-22-f58a0f1d267f.
Related profile: ESM-2. This page retains the exact record and its evaluation context.
unreported; UniRef50 pretraining may overlap benchmark proteins
ESM-2 tokenizes an amino-acid sequence and uses a transformer encoder trained to recover masked residues. Self-attention lets each residue representation depend on its sequence context. The released model returns token probabilities and embeddings; a specified pooling rule, task head or complete folding pipeline is needed for a particular biological prediction.
ESM-2 checkpoint identifiers encode layer count, parameter scale and training-data tag. The checked esm2_t33_650M_UR50D configuration lists max_position_embeddings=1,026. This configuration field includes model positions and is not a claim of training or validated inference on 1,026 amino acids.
Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied.
Stable record: discovery-model-esm-2Explanatory profile: source reviewed · Automated source review, 2026-09-16. Review applies to the cited claims; unresolved fields are listed below. Numerical results retain their own review status.
| Property | Description and evidence |
|---|---|
| Model type | Masked-token protein transformer encoderSources (3)facebookresearch/esm: README.md; facebook/esm2_t33_650M_UR50D: README.md; facebook/esm2_t33_650M_UR50D: config.json · ESM README: Pre-trained Models and Main models; official facebook/esm2_t33_650M_UR50D README licence metadata and config.json |
| Architecture | Masked-token protein transformer encoder; the checked 650M checkpoint has 33 layers, hidden width 1,280, 20 attention heads and rotary positional encoding.Sources (3)facebookresearch/esm: README.md; facebook/esm2_t33_650M_UR50D: README.md; facebook/esm2_t33_650M_UR50D: config.json · ESM README: Pre-trained Models and Main models; official facebook/esm2_t33_650M_UR50D README licence metadata and config.json |
| Inputs | Single amino-acid sequences.Sources (3)facebookresearch/esm: README.md; facebook/esm2_t33_650M_UR50D: README.md; facebook/esm2_t33_650M_UR50D: config.json · ESM README: Pre-trained Models and Main models; official facebook/esm2_t33_650M_UR50D README licence metadata and config.json |
| Outputs | Residue embeddings, sequence representations and masked-token predictions.Sources (3)facebookresearch/esm: README.md; facebook/esm2_t33_650M_UR50D: README.md; facebook/esm2_t33_650M_UR50D: config.json · ESM README: Pre-trained Models and Main models; official facebook/esm2_t33_650M_UR50D README licence metadata and config.json |
| Parameters | Released scales: 8M, 35M, 150M, 650M, 3B and 15B.Sources (3)facebookresearch/esm: README.md; facebook/esm2_t33_650M_UR50D: README.md; facebook/esm2_t33_650M_UR50D: config.json · ESM README: Pre-trained Models and Main models; official facebook/esm2_t33_650M_UR50D README licence metadata and config.json |
| Known versions | ESM-2 checkpoint identifiers encode layer count, parameter scale and training-data tag.Sources (3)facebookresearch/esm: README.md; facebook/esm2_t33_650M_UR50D: README.md; facebook/esm2_t33_650M_UR50D: config.json · ESM README: Pre-trained Models and Main models; official facebook/esm2_t33_650M_UR50D README licence metadata and config.json |
| Training data | UniRef50 clusters with UniRef90 sampling; the pretrained-model table labels UR50/D 2021_04.Sources (3)facebookresearch/esm: README.md; facebook/esm2_t33_650M_UR50D: README.md; facebook/esm2_t33_650M_UR50D: config.json · ESM README: Pre-trained Models and Main models; official facebook/esm2_t33_650M_UR50D README licence metadata and config.json |
| Training cutoff | The pretrained-model table identifies training-data release UR50/D 2021_04; a corpus release date is not necessarily a last-deposited-sequence cutoff.Sources (3)facebookresearch/esm: README.md; facebook/esm2_t33_650M_UR50D: README.md; facebook/esm2_t33_650M_UR50D: config.json · ESM README: Pre-trained Models and Main models; official facebook/esm2_t33_650M_UR50D README licence metadata and config.json |
| Context limits | The checked esm2_t33_650M_UR50D configuration lists max_position_embeddings=1,026. This configuration field includes model positions and is not a claim of training or validated inference on 1,026 amino acids.Sources (3)facebookresearch/esm: README.md; facebook/esm2_t33_650M_UR50D: README.md; facebook/esm2_t33_650M_UR50D: config.json · ESM README: Pre-trained Models and Main models; official facebook/esm2_t33_650M_UR50D README licence metadata and config.json |
| Weights licence | The official facebook/esm2_t33_650M_UR50D model card declares MIT; this is the inspected checkpoint, not a licence inference from source code.Sources (3)facebookresearch/esm: README.md; facebook/esm2_t33_650M_UR50D: README.md; facebook/esm2_t33_650M_UR50D: config.json · ESM README: Pre-trained Models and Main models; official facebook/esm2_t33_650M_UR50D README licence metadata and config.json |
| Access | Official project documentation and implementation: https://github.com/facebookresearch/esmSources (3)facebookresearch/esm: README.md; facebook/esm2_t33_650M_UR50D: README.md; facebook/esm2_t33_650M_UR50D: config.json · ESM README: Pre-trained Models and Main models; official facebook/esm2_t33_650M_UR50D README licence metadata and config.json |
| Code licence | MITSourcesfacebookresearch/esm: LICENSE · LICENSE: licence text |
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1 evidence row matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Relationship: family discovery-model-esm-2 Individual claims | ESM-2 8M masked-marginal scoring: local execution report (20 September 2026) model; model_configuration; execution Version: ca73fa47136d182f2d4ddb083d084712198fc0e2 | source checked automated execution evidence review · 2026-09-20T20:54:03Z Audit detailsField: Claim: rewire-local-20260920-configuration-proteingym-esm2-family-discovery-model-esm-2 Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
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Release 2026-09-22-f58a0f1d267f · Record review: source checked
Stable ID: rewire-local-20260920-configuration-proteingym-esm2