rewire.it
Model

Geneformer

Geneformer represents single-cell transcriptomes as ranked genes and learns contextual gene and cell representations.

Sources (2)ctheodoris/Geneformer: README.md; ctheodoris/Geneformer: config.json · README.md: Model Description, pretrained model list, Application, Installation and licence frontmatter

5 evaluations · 5 metric rows · 1 evaluated configuration using this model

How it worksGeneformer workflow
Geneformer workflow1. Expression profile. Then: 2. Corpus-normalized gene ranks. Then: 3. Masked-gene transformer. Then: 4. Cell and gene representationsGeneformer workflow1. Expression profile. Then: 2. Corpus-normalized gene ranks. Then: 3. Masked-gene transformer. Then: 4. Cell and gene representationsGeneformer workflow1. Expression profile. Then: 2. Corpus-normalized gene ranks. Then: 3. Masked-gene transformer. Then: 4. Cell and gene representations

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

Sources (2)ctheodoris/Geneformer: README.md; ctheodoris/Geneformer: config.json · README.md: Model Description, pretrained model list, Application, Installation and licence frontmatter

Overview

Source reviewed · Automated source review, 2026-09-16. All specifications and missing details

Evaluations and results

5 evaluations · 5 metric rows. 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: GeneformerTask: Cell-type identification
Dataset: M.S. single-cell dataset
0.388 F1-Score
unitless · unknown

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · source checked
Methods, coverage and source

Geneformer: Cell-type identification

Native scLLM cell-type identification as reported in Table 2.

Aggregation: Not reported

Parameter-Efficient Fine-Tuning Enhances Adaptation of Single Cell Large Language Model for Cell Type Identification · Table 2, M.S. / Geneformer row, F1-Score column
Configuration: GeneformerTask: Combinatorial cell-label classification
Dataset: L1000
0.419 Partial-label accuracy
unitless · unknown

Uncertainty: ± 0.0153

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · source checked
Methods, coverage and source

Geneformer: Combinatorial cell-label classification

Partial-credit labels including cell type, perturbation, and dose.

Aggregation: Not reported

Cell2Sentence: Teaching Large Language Models the Language of Biology · Table 3, Partial label / Geneformer row, L1000 Acc column
Configuration: GeneformerTask: Cell-type annotation
Dataset: hPancreas
0.270 F1
unitless · unknown

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

Result quoted from another source · source checked
Methods, coverage and source

Geneformer: Cell-type annotation

Zero-shot setting; source caption says some comparator rows come from GenePT.

Aggregation: Not reported

scELMo: Embeddings from Language Models are Good Learners for Single-cell Data Analysis · Table 1, hPancreas zero-shot / Geneformer (z) row, F1 column
Configuration: Mouse-GeneformerTask: Human thymus cell-type classification
Dataset: Human thymus scRNA-seq
48.57 F1
% · unknown

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

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

Mouse-Geneformer: Human thymus cell-type classification

Ortholog-based gene conversion; zero-shot mouse model on human cells.

Aggregation: Not reported

Mouse-Geneformer: A deep learning model for mouse single-cell transcriptome and its cross-species utility · Table 4, h/ Thymus row, Mouse-Geneformer Zero-shot F1 column
Configuration: Human-GeneformerTask: Human thymus cell-type classification
Dataset: Human thymus scRNA-seq
74.48 F1
% · unknown

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · source checked
Methods, coverage and source

Human-Geneformer: Human thymus cell-type classification

Native human model; zero-shot setting.

Aggregation: Not reported

Mouse-Geneformer: A deep learning model for mouse single-cell transcriptome and its cross-species utility · Table 4, h/ Thymus row, Human-Geneformer Zero-shot F1 column

Source checking is not independent reproduction. Release 2026-09-23-2b89723c6dd9.

Related configurations, pipelines and services

These configurations, services and pipelines use this model within their own configurations. Their results, where available, are not assigned to the underlying model.

Use this model

How it works, versions and access

Versions and evaluated configurations

How it works

How it works

Geneformer represents single-cell transcriptomes as ranked genes and learns contextual gene and cell representations. Transformer encoder trained to recover masked genes from rank-value-encoded expression profiles. The documented inputs are single-cell gene expression converted to corpus-normalized gene ranks. The output consists of contextual gene and cell representations; task-specific outputs after the documented fine-tuning or perturbation workflow.

Sources (2)ctheodoris/Geneformer: README.md; ctheodoris/Geneformer: config.json · README.md: Model Description, pretrained model list, Application, Installation and licence frontmatter
Versions and reproducibility

Geneformer-V1-10M, V2-104M, V2-316M and V2-104M_CLcancer; the card states V2-316M is the repository default. V1: 2,048 gene tokens; V2: 4,096. Vocabularies also differ.

Sources (2)ctheodoris/Geneformer: README.md; ctheodoris/Geneformer: config.json · README.md: Model Description, pretrained model list, Application, Installation and licence frontmatter
Strengths, limitations and unresolved questions

Strengths and limitations

Strengths supported by sources

Limitations and conditions

  • V1, V2 and cancer-tuned V2 use different corpora and vocabularies. The authors recommend task-specific hyperparameter tuning; there is no universally suitable fine-tuning configuration.
    Sources (2)ctheodoris/Geneformer: README.md; ctheodoris/Geneformer: config.json · README.md: Model Description, pretrained model list, Application, Installation and licence frontmatter
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. Follow-up retrieved the complete original RNA-FM PDF and inspected the full pinned Geneformer repository inventory; unavailable labels were updated only where new evidence resolved the earlier retrieval gap.

Stable record: catalog-model-geneformer

Specifications

Inputs, training, access and other details

Explanatory 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.

Inputs, outputs and configuration
PropertyDescription and evidence
Model typeMasked-gene transcriptomic transformer encoder
Sources (2)ctheodoris/Geneformer: README.md; ctheodoris/Geneformer: config.json · README.md: Model Description, pretrained model list, Application, Installation and licence frontmatter
ArchitectureTransformer encoder trained to recover masked genes from rank-value-encoded expression profiles.
Sources (2)ctheodoris/Geneformer: README.md; ctheodoris/Geneformer: config.json · README.md: Model Description, pretrained model list, Application, Installation and licence frontmatter
InputsSingle-cell gene expression converted to corpus-normalized gene ranks.
Sources (2)ctheodoris/Geneformer: README.md; ctheodoris/Geneformer: config.json · README.md: Model Description, pretrained model list, Application, Installation and licence frontmatter
OutputsContextual gene and cell representations; task-specific outputs after the documented fine-tuning or perturbation workflow.
Sources (2)ctheodoris/Geneformer: README.md; ctheodoris/Geneformer: config.json · README.md: Model Description, pretrained model list, Application, Installation and licence frontmatter
ParametersV1: 10M; V2: 104M or 316M.
Sources (2)ctheodoris/Geneformer: README.md; ctheodoris/Geneformer: config.json · README.md: Model Description, pretrained model list, Application, Installation and licence frontmatter
Known versionsGeneformer-V1-10M, V2-104M, V2-316M and V2-104M_CLcancer; the card states V2-316M is the repository default.
Sources (2)ctheodoris/Geneformer: README.md; ctheodoris/Geneformer: config.json · README.md: Model Description, pretrained model list, Application, Installation and licence frontmatter
Training dataV1: approximately 30M human single-cell transcriptomes. V2: approximately 104M non-cancer human transcriptomes; the cancer continual-learning variant adds approximately 14M cancer cells.
Sources (2)ctheodoris/Geneformer: README.md; ctheodoris/Geneformer: config.json · README.md: Model Description, pretrained model list, Application, Installation and licence frontmatter
Training cutoffTraining dates reported: June 2021 for V1 and December 2024 for V2. These are training dates, not independently verified data-collection cutoffs.
Sources (2)ctheodoris/Geneformer: README.md; ctheodoris/Geneformer: config.json · README.md: Model Description, pretrained model list, Application, Installation and licence frontmatter
Context limitsV1: 2,048 gene tokens; V2: 4,096. Vocabularies also differ.
Sources (2)ctheodoris/Geneformer: README.md; ctheodoris/Geneformer: config.json · README.md: Model Description, pretrained model list, Application, Installation and licence frontmatter
Weights licenceApache-2.0 is declared in the official model-card metadata.
Sources (2)ctheodoris/Geneformer: README.md; ctheodoris/Geneformer: config.json · README.md: Model Description, pretrained model list, Application, Installation and licence frontmatter
AccessOfficial downloadable model/card and usage examples: https://huggingface.co/ctheodoris/Geneformer
Sources (2)ctheodoris/Geneformer: README.md; ctheodoris/Geneformer: config.json · README.md: Model Description, pretrained model list, Application, Installation and licence frontmatter
Code licenceThe official repository declares Apache-2.0 in its model card. No separate code-licence file appears in the complete inspected revision; this records the repository declaration rather than an independently reviewed licence grant for every bundled dependency.
Sources (2)ctheodoris/Geneformer: README.md; Geneformer official repository file inventory · Pinned README license metadata; complete two-page recursive repository inventory at revision 1f7fbae4e469a5f4f1af8c111a529cfe1b3829f5

Evidence

Source checking verifies the cited claim or transcription. It does not establish independent reproduction.

Evidence table

Inspect claims, sources and review details

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.

40 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-09-23-2b89723c6dd9
Property and statementOriginal source and locationReview and provenance
Diagram caption
Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation.
Individual claims
ctheodoris/Geneformer: README.md

Original source ↗

README.md: Model Description, pretrained model list, Application, Installation and licence frontmatter

Shared locator for this statement’s cited sources; not a separate locator for each citation.

Version: 1f7fbae4e469a5f4f1af8c111a529cfe1b3829f5
Retrieved: 2026-09-16T19:46:20.640731+00:00

source checked

automated source review · 2026-09-16

Audit 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. Follow-up retrieved the complete original RNA-FM PDF and inspected the full pinned Geneformer repository inventory; unavailable labels were updated only where new evidence resolved the earlier retrieval gap.

Field: attributes.profile.diagram.caption

Source artifact SHA-256: 56d6e570b349cbedae9a54634421c94e7af8ea467ce0fdd79193372ae3cbdbd8

Hash scope: SHA-256 of retrieved original artifact bytes

Format: original_artifact

Inspected artifact

Diagram caption
Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation.
Individual claims
ctheodoris/Geneformer: config.json

Original source ↗

README.md: Model Description, pretrained model list, Application, Installation and licence frontmatter

Shared locator for this statement’s cited sources; not a separate locator for each citation.

Version: 1f7fbae4e469a5f4f1af8c111a529cfe1b3829f5
Retrieved: 2026-09-16T19:46:20.640731+00:00

source checked

automated source review · 2026-09-16

Audit 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. Follow-up retrieved the complete original RNA-FM PDF and inspected the full pinned Geneformer repository inventory; unavailable labels were updated only where new evidence resolved the earlier retrieval gap.

Field: attributes.profile.diagram.caption

Source artifact SHA-256: 2cc4af3442644e84af71814a607b61c958d7b4e5ebde6791ab77b5f534ac6f6e

Hash scope: SHA-256 of retrieved original artifact bytes

Format: original_artifact

Inspected artifact

Diagram steps
  • Expression profile
  • Corpus-normalized gene ranks
  • Masked-gene transformer
  • Cell and gene representations
Individual claims
ctheodoris/Geneformer: README.md

Original source ↗

README.md: Model Description, pretrained model list, Application, Installation and licence frontmatter

Shared locator for this statement’s cited sources; not a separate locator for each citation.

Version: 1f7fbae4e469a5f4f1af8c111a529cfe1b3829f5
Retrieved: 2026-09-16T19:46:20.640731+00:00

source checked

automated source review · 2026-09-16

Audit 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. Follow-up retrieved the complete original RNA-FM PDF and inspected the full pinned Geneformer repository inventory; unavailable labels were updated only where new evidence resolved the earlier retrieval gap.

Field: attributes.profile.diagram.steps

Source artifact SHA-256: 56d6e570b349cbedae9a54634421c94e7af8ea467ce0fdd79193372ae3cbdbd8

Hash scope: SHA-256 of retrieved original artifact bytes

Format: original_artifact

Inspected artifact

Diagram steps
  • Expression profile
  • Corpus-normalized gene ranks
  • Masked-gene transformer
  • Cell and gene representations
Individual claims
ctheodoris/Geneformer: config.json

Original source ↗

README.md: Model Description, pretrained model list, Application, Installation and licence frontmatter

Shared locator for this statement’s cited sources; not a separate locator for each citation.

Version: 1f7fbae4e469a5f4f1af8c111a529cfe1b3829f5
Retrieved: 2026-09-16T19:46:20.640731+00:00

source checked

automated source review · 2026-09-16

Audit 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. Follow-up retrieved the complete original RNA-FM PDF and inspected the full pinned Geneformer repository inventory; unavailable labels were updated only where new evidence resolved the earlier retrieval gap.

Field: attributes.profile.diagram.steps

Source artifact SHA-256: 2cc4af3442644e84af71814a607b61c958d7b4e5ebde6791ab77b5f534ac6f6e

Hash scope: SHA-256 of retrieved original artifact bytes

Format: original_artifact

Inspected artifact

Diagram title
Geneformer workflow
Individual claims
ctheodoris/Geneformer: README.md

Original source ↗

README.md: Model Description, pretrained model list, Application, Installation and licence frontmatter

Shared locator for this statement’s cited sources; not a separate locator for each citation.

Version: 1f7fbae4e469a5f4f1af8c111a529cfe1b3829f5
Retrieved: 2026-09-16T19:46:20.640731+00:00

source checked

automated source review · 2026-09-16

Audit 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. Follow-up retrieved the complete original RNA-FM PDF and inspected the full pinned Geneformer repository inventory; unavailable labels were updated only where new evidence resolved the earlier retrieval gap.

Field: attributes.profile.diagram.title

Source artifact SHA-256: 56d6e570b349cbedae9a54634421c94e7af8ea467ce0fdd79193372ae3cbdbd8

Hash scope: SHA-256 of retrieved original artifact bytes

Format: original_artifact

Inspected artifact

Diagram title
Geneformer workflow
Individual claims
ctheodoris/Geneformer: config.json

Original source ↗

README.md: Model Description, pretrained model list, Application, Installation and licence frontmatter

Shared locator for this statement’s cited sources; not a separate locator for each citation.

Version: 1f7fbae4e469a5f4f1af8c111a529cfe1b3829f5
Retrieved: 2026-09-16T19:46:20.640731+00:00

source checked

automated source review · 2026-09-16

Audit 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. Follow-up retrieved the complete original RNA-FM PDF and inspected the full pinned Geneformer repository inventory; unavailable labels were updated only where new evidence resolved the earlier retrieval gap.

Field: attributes.profile.diagram.title

Source artifact SHA-256: 2cc4af3442644e84af71814a607b61c958d7b4e5ebde6791ab77b5f534ac6f6e

Hash scope: SHA-256 of retrieved original artifact bytes

Format: original_artifact

Inspected artifact

Model type
Masked-gene transcriptomic transformer encoder
Individual claims
ctheodoris/Geneformer: README.md

Original source ↗

README.md: Model Description, pretrained model list, Application, Installation and licence frontmatter

Shared locator for this statement’s cited sources; not a separate locator for each citation.

Version: 1f7fbae4e469a5f4f1af8c111a529cfe1b3829f5
Retrieved: 2026-09-16T19:46:20.640731+00:00

source checked

automated source review · 2026-09-16

Audit 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. Follow-up retrieved the complete original RNA-FM PDF and inspected the full pinned Geneformer repository inventory; unavailable labels were updated only where new evidence resolved the earlier retrieval gap.

Field: attributes.profile.facts.0.value

Source artifact SHA-256: 56d6e570b349cbedae9a54634421c94e7af8ea467ce0fdd79193372ae3cbdbd8

Hash scope: SHA-256 of retrieved original artifact bytes

Format: original_artifact

Inspected artifact

Model type
Masked-gene transcriptomic transformer encoder
Individual claims
ctheodoris/Geneformer: config.json

Original source ↗

README.md: Model Description, pretrained model list, Application, Installation and licence frontmatter

Shared locator for this statement’s cited sources; not a separate locator for each citation.

Version: 1f7fbae4e469a5f4f1af8c111a529cfe1b3829f5
Retrieved: 2026-09-16T19:46:20.640731+00:00

source checked

automated source review · 2026-09-16

Audit 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. Follow-up retrieved the complete original RNA-FM PDF and inspected the full pinned Geneformer repository inventory; unavailable labels were updated only where new evidence resolved the earlier retrieval gap.

Field: attributes.profile.facts.0.value

Source artifact SHA-256: 2cc4af3442644e84af71814a607b61c958d7b4e5ebde6791ab77b5f534ac6f6e

Hash scope: SHA-256 of retrieved original artifact bytes

Format: original_artifact

Inspected artifact

Architecture
Transformer encoder trained to recover masked genes from rank-value-encoded expression profiles.
Individual claims
ctheodoris/Geneformer: README.md

Original source ↗

README.md: Model Description, pretrained model list, Application, Installation and licence frontmatter

Shared locator for this statement’s cited sources; not a separate locator for each citation.

Version: 1f7fbae4e469a5f4f1af8c111a529cfe1b3829f5
Retrieved: 2026-09-16T19:46:20.640731+00:00

source checked

automated source review · 2026-09-16

Audit 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. Follow-up retrieved the complete original RNA-FM PDF and inspected the full pinned Geneformer repository inventory; unavailable labels were updated only where new evidence resolved the earlier retrieval gap.

Field: attributes.profile.facts.1.value

Source artifact SHA-256: 56d6e570b349cbedae9a54634421c94e7af8ea467ce0fdd79193372ae3cbdbd8

Hash scope: SHA-256 of retrieved original artifact bytes

Format: original_artifact

Inspected artifact

Architecture
Transformer encoder trained to recover masked genes from rank-value-encoded expression profiles.
Individual claims
ctheodoris/Geneformer: config.json

Original source ↗

README.md: Model Description, pretrained model list, Application, Installation and licence frontmatter

Shared locator for this statement’s cited sources; not a separate locator for each citation.

Version: 1f7fbae4e469a5f4f1af8c111a529cfe1b3829f5
Retrieved: 2026-09-16T19:46:20.640731+00:00

source checked

automated source review · 2026-09-16

Audit 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. Follow-up retrieved the complete original RNA-FM PDF and inspected the full pinned Geneformer repository inventory; unavailable labels were updated only where new evidence resolved the earlier retrieval gap.

Field: attributes.profile.facts.1.value

Source artifact SHA-256: 2cc4af3442644e84af71814a607b61c958d7b4e5ebde6791ab77b5f534ac6f6e

Hash scope: SHA-256 of retrieved original artifact bytes

Format: original_artifact

Inspected artifact

Sources and history

View linked audit checks and correction history

Release 2026-09-23-2b89723c6dd9 · Record review: discovered

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

Stable ID: catalog-model-geneformer

areas
cells-tissues
method types
foundation model
entity level
family
version
published checkpoints
reported name
Geneformer
access
Public checkpoints; specify exact version before evaluation.
method type
foundation model
historical missing metadata
checkpoint revision: not_yet_extracted; training data: not_yet_extracted; licence: not_yet_extracted
metadata review scope
historical_missing_metadata preserves the original discovery state. Current descriptive evidence and missingness are recorded in profile.facts; numerical-result review is separate.
entity classification
review date: 2026-09-17; rationale: The cited profile describes a named learned biological predictor or representation model/family. Preserve this identity separately from task-specific fitting, individual checkpoints, pipelines and hosted access.; source ids: evidence-official-d3d9afa5c6172982ed01; evidence-official-f60303c5eaa60ed9c77a; source locator: README.md: Model Description, pretrained model list, Application, Installation and licence frontmatter; ambiguities: None recorded
Related records

Suggest a correction