Model type
Masked-gene transcriptomic transformer encoder
Geneformer represents single-cell transcriptomes as ranked genes and learns contextual gene and cell representations.
5 evaluations · 5 metric rows · 1 evaluated configuration using this model
Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation.
Masked-gene transcriptomic transformer encoder
Single-cell gene expression converted to corpus-normalized gene ranks.
Contextual gene and cell representations; task-specific outputs after the documented fine-tuning or perturbation workflow.
Official downloadable model/card and usage examples: https://huggingface.co/ctheodoris/Geneformer
Source reviewed · Automated source review, 2026-09-16. All specifications and missing details
5 evaluations · 5 metric rows. Different protocols are not a single leaderboard.
Applied filters: All linked evaluations
| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: Geneformer | Task: 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 checkedMethods, coverage and sourceGeneformer: 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: Geneformer | Task: 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 checkedMethods, coverage and sourceGeneformer: 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: Geneformer | Task: 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 checkedMethods, coverage and sourceGeneformer: 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-Geneformer | Task: 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 checkedMethods, coverage and sourceMouse-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-Geneformer | Task: 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 checkedMethods, coverage and sourceHuman-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.
These configurations, services and pipelines use this model within their own configurations. Their results, where available, are not assigned to the underlying model.
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.
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.
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-geneformerExplanatory 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-gene transcriptomic transformer encoderSources (2)ctheodoris/Geneformer: README.md; ctheodoris/Geneformer: config.json · README.md: Model Description, pretrained model list, Application, Installation and licence frontmatter |
| Architecture | Transformer 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 |
| Inputs | Single-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 |
| Outputs | 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 |
| Parameters | V1: 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 versions | Geneformer-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 data | V1: 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 cutoff | Training 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 limits | 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 |
| Weights licence | Apache-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 |
| Access | Official downloadable model/card and usage examples: https://huggingface.co/ctheodoris/GeneformerSources (2)ctheodoris/Geneformer: README.md; ctheodoris/Geneformer: config.json · README.md: Model Description, pretrained model list, Application, Installation and licence frontmatter |
| Code licence | The 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 |
Source checking verifies the cited claim or transcription. It does not establish independent reproduction.
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
| Property and statement | Original source and location | Review 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 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 | source checked automated source review · 2026-09-16 Audit detailsInspected 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: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_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 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 | source checked automated source review · 2026-09-16 Audit detailsInspected 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: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
Diagram steps
| ctheodoris/Geneformer: README.md 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 | source checked automated source review · 2026-09-16 Audit detailsInspected 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: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
Diagram steps
| ctheodoris/Geneformer: config.json 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 | source checked automated source review · 2026-09-16 Audit detailsInspected 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: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
| Diagram title Geneformer workflow Individual claims | ctheodoris/Geneformer: README.md 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 | source checked automated source review · 2026-09-16 Audit detailsInspected 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: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
| Diagram title Geneformer workflow Individual claims | ctheodoris/Geneformer: config.json 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 | source checked automated source review · 2026-09-16 Audit detailsInspected 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: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
| Model type Masked-gene transcriptomic transformer encoder Individual claims | ctheodoris/Geneformer: README.md 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 | source checked automated source review · 2026-09-16 Audit detailsInspected 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: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
| Model type Masked-gene transcriptomic transformer encoder Individual claims | ctheodoris/Geneformer: config.json 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 | source checked automated source review · 2026-09-16 Audit detailsInspected 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: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
| Architecture Transformer encoder trained to recover masked genes from rank-value-encoded expression profiles. Individual claims | ctheodoris/Geneformer: README.md 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 | source checked automated source review · 2026-09-16 Audit detailsInspected 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: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
| Architecture Transformer encoder trained to recover masked genes from rank-value-encoded expression profiles. Individual claims | ctheodoris/Geneformer: config.json 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 | source checked automated source review · 2026-09-16 Audit detailsInspected 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: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
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Release 2026-09-23-2b89723c6dd9 · Record review: discovered
Stable ID: catalog-model-geneformer