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ESM2 (150M) [ProteinGym 144fe22b snapshot]

ESM-2 is a family of protein sequence encoders that produce representations for downstream protein analyses.

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

1 evaluation · 1 result

How it worksESM-2 workflow
ESM-2 workflow1. Protein sequence. Then: 2. Transformer layers. Then: 3. Residue embeddings. Then: 4. Specified downstream analysisESM-2 workflow1. Protein sequence. Then: 2. Transformer layers. Then: 3. Residue embeddings. Then: 4. Specified downstream analysisESM-2 workflow1. Protein sequence. Then: 2. Transformer layers. Then: 3. Residue embeddings. Then: 4. Specified downstream analysis

Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation.

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

Overview

Model type

Masked-token protein transformer encoder

Inputs

Single amino-acid sequences.

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

limited source coverage · Automated source review, 2026-09-23. All specifications and missing details

Evaluations and results

1 evaluation · 1 result. Different protocols are not a single leaderboard.

Filter evaluations

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: ESM2 (150M) [ProteinGym 144fe22b snapshot]Protocol: ProteinGym AMFR official zero-shot Spearman snapshot
Dataset subset: ProteinGym AMFR 4G3O official snapshot cohort
0.321 spearman_rho
correlation · higher

Uncertainty: type: unreported

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

ESM2 (150M) AMFR official snapshot

Not reported

Aggregation: Not reported

ProteinGym AMFR assay-level Spearman comparison · DMS_substitutions_Spearman_DMS_level.csv line 15, DMS ID=AMFR_HUMAN_Tsuboyama_2023_4G3O, column=ESM2 (150M)

Source checking is not independent reproduction. Release 2026-09-30-e37e3ab1284d.

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How it works, versions and access

Related profile: ESM-2. This page retains the exact record and its evaluation context.

This configuration

Exact official CSV source-label configuration; checkpoint and per-assay scoring details are not inferred from similarly named methods.

record
ESM2 (150M) [ProteinGym 144fe22b snapshot]
configuration
144fe22b07dfaeec2b366f2346203a9838a55b4c
entity type
Configuration

How it works

How it works

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.

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
Versions and reproducibility

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.

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
Strengths, limitations and unresolved questions

Strengths and limitations

Profile review details

Follow-up review of Reference checkpoint, Context limits, Training data release, Training cutoff. Source locations and before/after decisions are recorded in the 23 September profile-evidence audit. Other explanatory content retains its earlier source scope. No human scientific review or independent reproduction is implied.

Stable record: discovery-model-esm-2

Specifications

Inputs, training, access and other details

Explanatory profile: limited source coverage · Automated source review, 2026-09-23. Review applies to the cited claims; unresolved fields are listed below. Numerical results retain their own review status.

Inputs, outputs and configuration
PropertyDescription and evidence
Model typeMasked-token protein transformer encoder
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
ArchitectureMasked-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
InputsSingle 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
OutputsResidue 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
ParametersReleased 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 versionsESM-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 dataUniRef50 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 cutoffThe inspected official table establishes an April 2021 UniRef release, but no separate latest-deposited-sequence date. Keep the corpus release distinct from a temporal leakage guarantee. · Not reported in inspected sources
Sourcesfacebookresearch/esm: README.md · README: Pre-trained Models and Pre-training Dataset Split
Context limitsThe official extraction script truncates to 1,022 residues by default; --truncation_seq_length is configurable. This workflow default is not a universal architecture or validated biological-context limit.
Sourcesesm2 extract: primary artifact · create_parser: --truncation_seq_length; run: get_batch_converter
Weights licenceThe 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
AccessOfficial project documentation and implementation: https://github.com/facebookresearch/esm
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
Code licenceMIT
Sourcesfacebookresearch/esm: LICENSE · LICENSE: licence text
Reference checkpointExample release: facebook/esm2_t33_650M_UR50D at 08e4846e537177426273712802403f7ba8261b6c. Its model.safetensors has registry-reported SHA-256 a08adabb949fa67ad3c14b509d04fd60368b35007b0095e3358f81200c4f4db0. This identifies a downloadable 650M checkpoint, not every ESM-2 evaluation.
Sourcesesm2 release: primary artifact · sha; siblings[model.safetensors].lfs.sha256
Training data releaseThe official pretrained-model table labels ESM-2 training data UR50/D 2021_04.
Sourcesfacebookresearch/esm: README.md · README: Pre-trained Models table, ESM-2 rows

Evidence

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Evidence table

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Trace each statement to its source and review. A context-only reference supports the record generally; it does not verify an individual field. Source checking does not reproduce an experiment.

One row per statement and cited source. Multiple citations are not independent evaluations. Shared locators are labelled explicitly.

1 evidence row matching the loaded filters

Claims, original sources and review scope · Release 2026-09-30-e37e3ab1284d
Property and statementOriginal source and locationReview and provenance
Relationship: variant of
discovery-model-esm-2
Individual claims
ProteinGym AMFR assay-level Spearman comparison

Original source ↗

Pinned ProteinGym Spearman CSV header: ESM2 (150M)

Version: 144fe22b07dfaeec2b366f2346203a9838a55b4c
Retrieved: 2026-09-30

source checked

automated source review · 2026-09-30T21:40:59.576893+00:00

Audit details

Field: links:variant_of:discovery-model-esm-2

Claim: uc20260930-config-family-22b244de2d811aef

Source artifact SHA-256: f432423b87f79ac9778dfac86e3d95be041d246bc618dc0a406b35b0b7466437

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Sources and history

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Release 2026-09-30-e37e3ab1284d · Record review: source checked

1 source records and release historyDownload this release
Technical metadata and extraction receipts

Stable ID: uc20260930-proteingym-amfr-config-esm2-150m

areas
proteins-complexes
source locator
See linked evaluation and result locators
missing metadata
checkpoint hash: unextracted
review
method: automated_source_review; reviewer: Codex experimental-use-case curation; date: 2026-09-30; reviewed at: 2026-09-30T21:40:59.576893+00:00; scope: Primary-source transcription and catalogue applicability audit; not human scientific review or independent experimental reproduction.
reported name
ESM2 (150M)
version
144fe22b07dfaeec2b366f2346203a9838a55b4c
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