Configuration

ESM-1v (ensemble) [ProteinGym 144fe22b snapshot]

ESM-1v provides protein language models intended for zero-shot variant-effect scoring.

Sources (2)

facebookresearch/esm: README.md; facebook/esm1v_t33_650M_UR90S_1: config.json · README.md: Main models, Zero-shot variant prediction and Pre-trained Models

1 evaluation · 1 result

How it worksESM-1v workflow

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

Sources (2)

facebookresearch/esm: README.md; facebook/esm1v_t33_650M_UR90S_1: config.json · README.md: Main models, Zero-shot variant prediction and Pre-trained Models

Overview

Model type

Protein transformer for variant-effect scoring

Inputs

Protein amino-acid sequence and the specified sequence variation.

Outputs

Token probabilities used to calculate sequence-variant scores.

Access

Official project documentation and implementation: https://github.com/facebookresearch/esm

Sources (2)

facebookresearch/esm: README.md; facebook/esm1v_t33_650M_UR90S_1: config.json · README.md: Main models, Zero-shot variant prediction and Pre-trained Models

limited source coverage · Automated source review, 2026-09-16. All specifications and missing details

Evaluations and results

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

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Tested model or methodProtocolDatasetEvaluation setupMetricEvidence origin

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Exact evaluated configurations and original reported results
Tested configuration	Protocol and dataset	Finding	Evidence and details
Configuration: ESM-1v (ensemble) [ProteinGym 144fe22b snapshot]	Protocol: ProteinGym AMFR official zero-shot Spearman snapshot Dataset subset: ProteinGym AMFR 4G3O official snapshot cohort	0.423 spearman_rho correlation · higher Uncertainty: type: unreported Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source ESM-1v (ensemble) 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=ESM-1v (ensemble)

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

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How it works, versions and access

Related profile: ESM-1v. 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: ESM-1v (ensemble) [ProteinGym 144fe22b snapshot]
configuration: 144fe22b07dfaeec2b366f2346203a9838a55b4c
entity type: Configuration

How it works

ESM-1v provides protein language models intended for zero-shot variant-effect scoring. Transformer architecture shared with ESM-1b, trained on UniRef90; multiple released model instances support the variant-scoring workflow. The documented inputs are protein amino-acid sequence and the specified sequence variation. The output consists of token probabilities used to calculate sequence-variant scores.

Sources (2)

facebookresearch/esm: README.md; facebook/esm1v_t33_650M_UR90S_1: config.json · README.md: Main models, Zero-shot variant prediction and Pre-trained Models

Versions and reproducibility

esm1v_t33_650M_UR90S_1 through _5. The applicable input limits require configuration-specific checking.

Sources (2)

facebookresearch/esm: README.md; facebook/esm1v_t33_650M_UR90S_1: config.json · README.md: Main models, Zero-shot variant prediction and Pre-trained Models

Strengths, limitations and unresolved questions

Strengths and limitations

Strengths and considerations

The package provides a dedicated variant-prediction example without fitting a task-specific supervised classifier.
Sources (2)
facebookresearch/esm: README.md; facebook/esm1v_t33_650M_UR90S_1: config.json · README.md: Main models, Zero-shot variant prediction and Pre-trained Models

Limitations and conditions

The five released instances are distinct models. A language-model score is not a calibrated clinical pathogenicity probability.
Sources (2)
facebookresearch/esm: README.md; facebook/esm1v_t33_650M_UR90S_1: config.json · README.md: Main models, Zero-shot variant prediction and Pre-trained Models

Profile review details

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-1v

Specifications

Inputs, training, access and other details

Explanatory profile: limited source coverage · Automated source review, 2026-09-16. Review applies to the cited claims; unresolved fields are listed below. Numerical results retain their own review status.

Inputs, outputs and configuration
Property	Description and evidence
Model type	Protein transformer for variant-effect scoring Sources (2) facebookresearch/esm: README.md; facebook/esm1v_t33_650M_UR90S_1: config.json · README.md: Main models, Zero-shot variant prediction and Pre-trained Models
Architecture	Transformer architecture shared with ESM-1b, trained on UniRef90; multiple released model instances support the variant-scoring workflow. Sources (2) facebookresearch/esm: README.md; facebook/esm1v_t33_650M_UR90S_1: config.json · README.md: Main models, Zero-shot variant prediction and Pre-trained Models
Inputs	Protein amino-acid sequence and the specified sequence variation. Sources (2) facebookresearch/esm: README.md; facebook/esm1v_t33_650M_UR90S_1: config.json · README.md: Main models, Zero-shot variant prediction and Pre-trained Models
Outputs	Token probabilities used to calculate sequence-variant scores. Sources (2) facebookresearch/esm: README.md; facebook/esm1v_t33_650M_UR90S_1: config.json · README.md: Main models, Zero-shot variant prediction and Pre-trained Models
Parameters	650 million per model; 33 transformer layers. Sources (2) facebookresearch/esm: README.md; facebook/esm1v_t33_650M_UR90S_1: config.json · README.md: Main models, Zero-shot variant prediction and Pre-trained Models
Known versions	esm1v_t33_650M_UR90S_1 through _5. Sources (2) facebookresearch/esm: README.md; facebook/esm1v_t33_650M_UR90S_1: config.json · README.md: Main models, Zero-shot variant prediction and Pre-trained Models
Training data	UniRef90/S 2020_03, as reported in the pretrained-model table. Sources (2) facebookresearch/esm: README.md; facebook/esm1v_t33_650M_UR90S_1: config.json · README.md: Main models, Zero-shot variant prediction and Pre-trained Models
Training cutoff	The official model table identifies the UniRef90/S2020_03 training release; this is a corpus version rather than a verified latest-sequence deposition date. Sources (2) facebookresearch/esm: README.md; facebook/esm1v_t33_650M_UR90S_1: config.json · README.md: Main models, Zero-shot variant prediction and Pre-trained Models
Context limits	The inspected official esm1v_t33_650M_UR90S_1 config reserves 1,026 absolute positions. This includes model positions and is not a claim of 1,026-residue validated biological context. Sources (2) facebookresearch/esm: README.md; facebook/esm1v_t33_650M_UR90S_1: config.json · README.md: Main models, Zero-shot variant prediction and Pre-trained Models
Weights licence	Separate checkpoint-distribution terms are not stated in the inspected release documentation and licence material. The source-code licence alone is not recorded as an explicit weight grant. · Not reported in inspected sources Sources (3) facebookresearch/esm: README.md; facebook/esm1v_t33_650M_UR90S_1: config.json; facebookresearch/esm: LICENSE · README.md: Main models, Zero-shot variant prediction and Pre-trained Models; LICENSE: licence text
Access	Official project documentation and implementation: https://github.com/facebookresearch/esm Sources (2) facebookresearch/esm: README.md; facebook/esm1v_t33_650M_UR90S_1: config.json · README.md: Main models, Zero-shot variant prediction and Pre-trained Models
Code licence	MIT Sources facebookresearch/esm: LICENSE · LICENSE: licence text

Evidence

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Evidence table

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1 evidence row matching the loaded filters

Claims, original sources and review scope · Release 2026-09-30-e37e3ab1284d
Property and statement	Original source and location	Review and provenance
Relationship: variant of discovery-model-esm-1v Individual claims	ProteinGym AMFR assay-level Spearman comparison Original source ↗ Pinned ProteinGym Spearman CSV header: ESM-1v (ensemble) 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-1v` Claim: uc20260930-config-family-0d7222c56bdf5875 Source artifact SHA-256: `f432423b87f79ac9778dfac86e3d95be041d246bc618dc0a406b35b0b7466437` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact

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Sources and history

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

1 source records and release history

ProteinGym AMFR assay-level Spearman comparison · Original source · 144fe22b07dfaeec2b366f2346203a9838a55b4c

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Technical metadata and extraction receipts

Stable ID: uc20260930-proteingym-amfr-config-esm-1v-ensemble

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: ESM-1v (ensemble)
version: 144fe22b07dfaeec2b366f2346203a9838a55b4c

Related records

variant of: ESM-1v
subject: ESM-1v (ensemble) [ProteinGym 144fe22b snapshot] family identity
configuration: ESM-1v (ensemble) AMFR official snapshot

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