Dataset

Pretraining corpora of the models in HyenaDNA Table A.2

Evidence concern: excluded from comparisons

Table A.2 GPU-hours for the DNABERT and Nucleotide Transformer columns do not equal the GPUs × wall clock printed in the same table: 8 GPUs × 25 days is 4,800 GPU-hours against 12,000 printed, and 128 GPUs × 28 days is 86,016 GPU-hours against 215,000 printed, both about 2.5 times higher. The HyenaDNA columns agree (1 GPU × 80 min, about 1.3 GPU-hours). The Nucleotide Transformer article (Methods 'Hardware') also gives 128 A100 GPUs for 28 days. The table cites no source for these columns. Values are kept as printed and should not be compared until the discrepancy is resolved.HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution, arXiv v2 · Table A.2 (page 17), rows 'GPUs', 'Wall clock' and 'GPU-hrs', columns 'DNABERT' and 'Nucleotide Transformer'

Each model's own pretraining data; Table A.2 does not name the corpora.

Evaluation results

4 evaluations · 8 results. Different protocols are not a single leaderboard.

Filter evaluations

Tested model or methodProtocolDatasetEvaluation setupMetricEvidence origin

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configuration	Protocol and dataset	Finding	Evidence and details
Configuration: DNABERT 110M pretraining (HyenaDNA Table A.2)	Protocol: Pretraining GPUs and runtime for short-range models (HyenaDNA Table A.2) Dataset: Pretraining corpora of the models in HyenaDNA Table A.2	12,000 Accelerator time (Pretraining, total) hour · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Result quoted from another source · Source checked Evidence concern: excluded from comparisons Table A.2 GPU-hours for the DNABERT and Nucleotide Transformer columns do not equal the GPUs × wall clock printed in the same table: 8 GPUs × 25 days is 4,800 GPU-hours against 12,000 printed, and 128 GPUs × 28 days is 86,016 GPU-hours against 215,000 printed, both about 2.5 times higher. The HyenaDNA columns agree (1 GPU × 80 min, about 1.3 GPU-hours). The Nucleotide Transformer article (Methods 'Hardware') also gives 128 A100 GPUs for 28 days. The table cites no source for these columns. Values are kept as printed and should not be compared until the discrepancy is resolved.HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution, arXiv v2 · Table A.2 (page 17), rows 'GPUs', 'Wall clock' and 'GPU-hrs', columns 'DNABERT' and 'Nucleotide Transformer' Methods, coverage and source DNABERT 110M pretraining compute (HyenaDNA Table A.2) gfm-guide-20261014-protocol-hyenadna-pretraining-compute Aggregation: Not reported HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution, arXiv v2 · Table A.2 (page 17), row 'GPU-hrs', column 1 of 4 ('DNABERT', 110M)
Configuration: DNABERT 110M pretraining (HyenaDNA Table A.2)	Protocol: Pretraining GPUs and runtime for short-range models (HyenaDNA Table A.2) Dataset: Pretraining corpora of the models in HyenaDNA Table A.2	25 Runtime (Pretraining, wall clock) day · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Result quoted from another source · Source checked Evidence concern: excluded from comparisons Table A.2 GPU-hours for the DNABERT and Nucleotide Transformer columns do not equal the GPUs × wall clock printed in the same table: 8 GPUs × 25 days is 4,800 GPU-hours against 12,000 printed, and 128 GPUs × 28 days is 86,016 GPU-hours against 215,000 printed, both about 2.5 times higher. The HyenaDNA columns agree (1 GPU × 80 min, about 1.3 GPU-hours). The Nucleotide Transformer article (Methods 'Hardware') also gives 128 A100 GPUs for 28 days. The table cites no source for these columns. Values are kept as printed and should not be compared until the discrepancy is resolved.HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution, arXiv v2 · Table A.2 (page 17), rows 'GPUs', 'Wall clock' and 'GPU-hrs', columns 'DNABERT' and 'Nucleotide Transformer' Methods, coverage and source DNABERT 110M pretraining compute (HyenaDNA Table A.2) gfm-guide-20261014-protocol-hyenadna-pretraining-compute Aggregation: Not reported HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution, arXiv v2 · Table A.2 (page 17), row 'Wall clock', column 1 of 4 ('DNABERT', 110M)
Configuration: HyenaDNA 1.6M pretraining (HyenaDNA Table A.2)	Protocol: Pretraining GPUs and runtime for short-range models (HyenaDNA Table A.2) Dataset: Pretraining corpora of the models in HyenaDNA Table A.2	1.3 Accelerator time (Pretraining, total) hour · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Table A.2 GPU-hours for the DNABERT and Nucleotide Transformer columns do not equal the GPUs × wall clock printed in the same table: 8 GPUs × 25 days is 4,800 GPU-hours against 12,000 printed, and 128 GPUs × 28 days is 86,016 GPU-hours against 215,000 printed, both about 2.5 times higher. The HyenaDNA columns agree (1 GPU × 80 min, about 1.3 GPU-hours). The Nucleotide Transformer article (Methods 'Hardware') also gives 128 A100 GPUs for 28 days. The table cites no source for these columns. Values are kept as printed and should not be compared until the discrepancy is resolved.HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution, arXiv v2 · Table A.2 (page 17), rows 'GPUs', 'Wall clock' and 'GPU-hrs', columns 'DNABERT' and 'Nucleotide Transformer' Methods, coverage and source HyenaDNA 1.6M pretraining compute (HyenaDNA Table A.2) gfm-guide-20261014-protocol-hyenadna-pretraining-compute Aggregation: Not reported HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution, arXiv v2 · Table A.2 (page 17), row 'GPU-hrs', column 4 of 4 ('HyenaDNA', 1.6M)
Configuration: HyenaDNA 1.6M pretraining (HyenaDNA Table A.2)	Protocol: Pretraining GPUs and runtime for short-range models (HyenaDNA Table A.2) Dataset: Pretraining corpora of the models in HyenaDNA Table A.2	80 Runtime (Pretraining, wall clock) minute · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Table A.2 GPU-hours for the DNABERT and Nucleotide Transformer columns do not equal the GPUs × wall clock printed in the same table: 8 GPUs × 25 days is 4,800 GPU-hours against 12,000 printed, and 128 GPUs × 28 days is 86,016 GPU-hours against 215,000 printed, both about 2.5 times higher. The HyenaDNA columns agree (1 GPU × 80 min, about 1.3 GPU-hours). The Nucleotide Transformer article (Methods 'Hardware') also gives 128 A100 GPUs for 28 days. The table cites no source for these columns. Values are kept as printed and should not be compared until the discrepancy is resolved.HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution, arXiv v2 · Table A.2 (page 17), rows 'GPUs', 'Wall clock' and 'GPU-hrs', columns 'DNABERT' and 'Nucleotide Transformer' Methods, coverage and source HyenaDNA 1.6M pretraining compute (HyenaDNA Table A.2) gfm-guide-20261014-protocol-hyenadna-pretraining-compute Aggregation: Not reported HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution, arXiv v2 · Table A.2 (page 17), row 'Wall clock', column 4 of 4 ('HyenaDNA', 1.6M)
Configuration: HyenaDNA 436K pretraining (HyenaDNA Table A.2)	Protocol: Pretraining GPUs and runtime for short-range models (HyenaDNA Table A.2) Dataset: Pretraining corpora of the models in HyenaDNA Table A.2	1.3 Accelerator time (Pretraining, total) hour · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Table A.2 GPU-hours for the DNABERT and Nucleotide Transformer columns do not equal the GPUs × wall clock printed in the same table: 8 GPUs × 25 days is 4,800 GPU-hours against 12,000 printed, and 128 GPUs × 28 days is 86,016 GPU-hours against 215,000 printed, both about 2.5 times higher. The HyenaDNA columns agree (1 GPU × 80 min, about 1.3 GPU-hours). The Nucleotide Transformer article (Methods 'Hardware') also gives 128 A100 GPUs for 28 days. The table cites no source for these columns. Values are kept as printed and should not be compared until the discrepancy is resolved.HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution, arXiv v2 · Table A.2 (page 17), rows 'GPUs', 'Wall clock' and 'GPU-hrs', columns 'DNABERT' and 'Nucleotide Transformer' Methods, coverage and source HyenaDNA 436K pretraining compute (HyenaDNA Table A.2) gfm-guide-20261014-protocol-hyenadna-pretraining-compute Aggregation: Not reported HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution, arXiv v2 · Table A.2 (page 17), row 'GPU-hrs', column 3 of 4 ('HyenaDNA', 436K)
Configuration: HyenaDNA 436K pretraining (HyenaDNA Table A.2)	Protocol: Pretraining GPUs and runtime for short-range models (HyenaDNA Table A.2) Dataset: Pretraining corpora of the models in HyenaDNA Table A.2	80 Runtime (Pretraining, wall clock) minute · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Evidence concern: excluded from comparisons Table A.2 GPU-hours for the DNABERT and Nucleotide Transformer columns do not equal the GPUs × wall clock printed in the same table: 8 GPUs × 25 days is 4,800 GPU-hours against 12,000 printed, and 128 GPUs × 28 days is 86,016 GPU-hours against 215,000 printed, both about 2.5 times higher. The HyenaDNA columns agree (1 GPU × 80 min, about 1.3 GPU-hours). The Nucleotide Transformer article (Methods 'Hardware') also gives 128 A100 GPUs for 28 days. The table cites no source for these columns. Values are kept as printed and should not be compared until the discrepancy is resolved.HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution, arXiv v2 · Table A.2 (page 17), rows 'GPUs', 'Wall clock' and 'GPU-hrs', columns 'DNABERT' and 'Nucleotide Transformer' Methods, coverage and source HyenaDNA 436K pretraining compute (HyenaDNA Table A.2) gfm-guide-20261014-protocol-hyenadna-pretraining-compute Aggregation: Not reported HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution, arXiv v2 · Table A.2 (page 17), row 'Wall clock', column 3 of 4 ('HyenaDNA', 436K)
Configuration: Nucleotide Transformer 2.5B pretraining (HyenaDNA Table A.2)	Protocol: Pretraining GPUs and runtime for short-range models (HyenaDNA Table A.2) Dataset: Pretraining corpora of the models in HyenaDNA Table A.2	215,000 Accelerator time (Pretraining, total) hour · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Result quoted from another source · Source checked Evidence concern: excluded from comparisons Table A.2 GPU-hours for the DNABERT and Nucleotide Transformer columns do not equal the GPUs × wall clock printed in the same table: 8 GPUs × 25 days is 4,800 GPU-hours against 12,000 printed, and 128 GPUs × 28 days is 86,016 GPU-hours against 215,000 printed, both about 2.5 times higher. The HyenaDNA columns agree (1 GPU × 80 min, about 1.3 GPU-hours). The Nucleotide Transformer article (Methods 'Hardware') also gives 128 A100 GPUs for 28 days. The table cites no source for these columns. Values are kept as printed and should not be compared until the discrepancy is resolved.HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution, arXiv v2 · Table A.2 (page 17), rows 'GPUs', 'Wall clock' and 'GPU-hrs', columns 'DNABERT' and 'Nucleotide Transformer' Methods, coverage and source Nucleotide Transformer 2.5B pretraining compute (HyenaDNA Table A.2) gfm-guide-20261014-protocol-hyenadna-pretraining-compute Aggregation: Not reported HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution, arXiv v2 · Table A.2 (page 17), row 'GPU-hrs', column 2 of 4 ('Nucleotide Transformer', 2.5B)
Configuration: Nucleotide Transformer 2.5B pretraining (HyenaDNA Table A.2)	Protocol: Pretraining GPUs and runtime for short-range models (HyenaDNA Table A.2) Dataset: Pretraining corpora of the models in HyenaDNA Table A.2	28 Runtime (Pretraining, wall clock) day · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Result quoted from another source · Source checked Evidence concern: excluded from comparisons Table A.2 GPU-hours for the DNABERT and Nucleotide Transformer columns do not equal the GPUs × wall clock printed in the same table: 8 GPUs × 25 days is 4,800 GPU-hours against 12,000 printed, and 128 GPUs × 28 days is 86,016 GPU-hours against 215,000 printed, both about 2.5 times higher. The HyenaDNA columns agree (1 GPU × 80 min, about 1.3 GPU-hours). The Nucleotide Transformer article (Methods 'Hardware') also gives 128 A100 GPUs for 28 days. The table cites no source for these columns. Values are kept as printed and should not be compared until the discrepancy is resolved.HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution, arXiv v2 · Table A.2 (page 17), rows 'GPUs', 'Wall clock' and 'GPU-hrs', columns 'DNABERT' and 'Nucleotide Transformer' Methods, coverage and source Nucleotide Transformer 2.5B pretraining compute (HyenaDNA Table A.2) gfm-guide-20261014-protocol-hyenadna-pretraining-compute Aggregation: Not reported HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution, arXiv v2 · Table A.2 (page 17), row 'Wall clock', column 2 of 4 ('Nucleotide Transformer', 2.5B)

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Release 2026-10-22-1b7cf027e4f6 · Evidence verified: Not verified

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Dataset and evaluation context

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Evidence table

Inspect claims, sources and review details

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

5 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-10-22-1b7cf027e4f6
Property and statement	Original source and location	Review and provenance
Population Not stated in Table A.2 Context-only references	HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution, arXiv v2 Original source ↗ Table A.2 (page 17) Version: arXiv 2306.15794v2 Retrieved: 2026-10-14T12:48:26Z	not individually reviewed No individual claim review recorded Source has a recorded evidence concern. Consult its source page before using the claim. Audit details Field: `attributes.population` Source artifact SHA-256: `2f471549352ff571ac55faa80c8da453f9bf1ff5b01b6b87fa893457828e798c` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Source location Table A.2 (page 17) Context-only references	HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution, arXiv v2 Original source ↗ Table A.2 (page 17) Version: arXiv 2306.15794v2 Retrieved: 2026-10-14T12:48:26Z	not individually reviewed No individual claim review recorded Source has a recorded evidence concern. Consult its source page before using the claim. Audit details Field: `attributes.source_locator` Source artifact SHA-256: `2f471549352ff571ac55faa80c8da453f9bf1ff5b01b6b87fa893457828e798c` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Split Not applicable: pretraining compute Context-only references	HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution, arXiv v2 Original source ↗ Table A.2 (page 17) Version: arXiv 2306.15794v2 Retrieved: 2026-10-14T12:48:26Z	not individually reviewed No individual claim review recorded Source has a recorded evidence concern. Consult its source page before using the claim. Audit details Field: `attributes.split` Source artifact SHA-256: `2f471549352ff571ac55faa80c8da453f9bf1ff5b01b6b87fa893457828e798c` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Description Each model's own pretraining data; Table A.2 does not name the corpora. Context-only references	HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution, arXiv v2 Original source ↗ Table A.2 (page 17) Version: arXiv 2306.15794v2 Retrieved: 2026-10-14T12:48:26Z	not individually reviewed No individual claim review recorded Source has a recorded evidence concern. Consult its source page before using the claim. Audit details Field: `description` Source artifact SHA-256: `2f471549352ff571ac55faa80c8da453f9bf1ff5b01b6b87fa893457828e798c` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
Name Pretraining corpora of the models in HyenaDNA Table A.2 Context-only references	HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution, arXiv v2 Original source ↗ Table A.2 (page 17) Version: arXiv 2306.15794v2 Retrieved: 2026-10-14T12:48:26Z	not individually reviewed No individual claim review recorded Source has a recorded evidence concern. Consult its source page before using the claim. Audit details Field: `name` Source artifact SHA-256: `2f471549352ff571ac55faa80c8da453f9bf1ff5b01b6b87fa893457828e798c` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact

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Release 2026-10-22-1b7cf027e4f6 · Record review: source checked

1 source record and release history

HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution, arXiv v2 · Original source · arXiv 2306.15794v2

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Technical metadata and extraction receipts

Stable ID: gfm-guide-20261014-data-hyenadna-table-a2-pretraining-data

areas: dna-genomes
contexts: research
population: Not stated in Table A.2
split: Not applicable: pretraining compute
source locator: Table A.2 (page 17)
missing metadata: version: reason: unreported; note: Table A.2 compares pretraining runs on different corpora

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