| Configuration: NTv3 100M training run (Boshar et al. 2025) | Protocol: NTv3 H100 GPU-hours per training stage (Boshar et al. 2025 Table 5) Dataset: NTv3 training data, all stages (Boshar et al. 2025) | 40 Accelerator time (Training stage 'Length ext. 1-4' (200B tokens)) hour · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNTv3 100M training GPU-hours (Boshar et al. 2025 Table 5) gfm-guide-20261014-protocol-ntv3-training-gpu-hours Aggregation: Not reported A foundational model for joint sequence-function multi-species modeling at scale for long-range genomic prediction (NTv3), bioRxiv v1 · Table 5 (page 34), row '100M', column 'Length ext. 1-4' |
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| Configuration: NTv3 100M training run (Boshar et al. 2025) | Protocol: NTv3 H100 GPU-hours per training stage (Boshar et al. 2025 Table 5) Dataset: NTv3 training data, all stages (Boshar et al. 2025) | 48 Accelerator time (Training stage 'Length ext. 5-7' (150B tokens)) hour · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNTv3 100M training GPU-hours (Boshar et al. 2025 Table 5) gfm-guide-20261014-protocol-ntv3-training-gpu-hours Aggregation: Not reported A foundational model for joint sequence-function multi-species modeling at scale for long-range genomic prediction (NTv3), bioRxiv v1 · Table 5 (page 34), row '100M', column 'Length ext. 5-7' |
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| Configuration: NTv3 100M training run (Boshar et al. 2025) | Protocol: NTv3 H100 GPU-hours per training stage (Boshar et al. 2025 Table 5) Dataset: NTv3 training data, all stages (Boshar et al. 2025) | 1,536 Accelerator time (Training stage 'Post-training 1' (1.2T tokens)) hour · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNTv3 100M training GPU-hours (Boshar et al. 2025 Table 5) gfm-guide-20261014-protocol-ntv3-training-gpu-hours Aggregation: Not reported A foundational model for joint sequence-function multi-species modeling at scale for long-range genomic prediction (NTv3), bioRxiv v1 · Table 5 (page 34), row '100M', column 'Post-training 1' |
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| Configuration: NTv3 100M training run (Boshar et al. 2025) | Protocol: NTv3 H100 GPU-hours per training stage (Boshar et al. 2025 Table 5) Dataset: NTv3 training data, all stages (Boshar et al. 2025) | 192 Accelerator time (Training stage 'Post-training 2' (54B tokens)) hour · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNTv3 100M training GPU-hours (Boshar et al. 2025 Table 5) gfm-guide-20261014-protocol-ntv3-training-gpu-hours Aggregation: Not reported A foundational model for joint sequence-function multi-species modeling at scale for long-range genomic prediction (NTv3), bioRxiv v1 · Table 5 (page 34), row '100M', column 'Post-training 2' |
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| Configuration: NTv3 100M training run (Boshar et al. 2025) | Protocol: NTv3 H100 GPU-hours per training stage (Boshar et al. 2025 Table 5) Dataset: NTv3 training data, all stages (Boshar et al. 2025) | 3,000 Accelerator time (Training stage 'Pre-training 8 kb' (10.5T tokens)) hour · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNTv3 100M training GPU-hours (Boshar et al. 2025 Table 5) gfm-guide-20261014-protocol-ntv3-training-gpu-hours Aggregation: Not reported A foundational model for joint sequence-function multi-species modeling at scale for long-range genomic prediction (NTv3), bioRxiv v1 · Table 5 (page 34), row '100M', column 'Pre-training 8 kb' |
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| Configuration: NTv3 650M training run (Boshar et al. 2025) | Protocol: NTv3 H100 GPU-hours per training stage (Boshar et al. 2025 Table 5) Dataset: NTv3 training data, all stages (Boshar et al. 2025) | 88 Accelerator time (Training stage 'Length ext. 1-4' (200B tokens)) hour · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNTv3 650M training GPU-hours (Boshar et al. 2025 Table 5) gfm-guide-20261014-protocol-ntv3-training-gpu-hours Aggregation: Not reported A foundational model for joint sequence-function multi-species modeling at scale for long-range genomic prediction (NTv3), bioRxiv v1 · Table 5 (page 34), row '650M', column 'Length ext. 1-4' |
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| Configuration: NTv3 650M training run (Boshar et al. 2025) | Protocol: NTv3 H100 GPU-hours per training stage (Boshar et al. 2025 Table 5) Dataset: NTv3 training data, all stages (Boshar et al. 2025) | 80 Accelerator time (Training stage 'Length ext. 5-7' (150B tokens)) hour · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNTv3 650M training GPU-hours (Boshar et al. 2025 Table 5) gfm-guide-20261014-protocol-ntv3-training-gpu-hours Aggregation: Not reported A foundational model for joint sequence-function multi-species modeling at scale for long-range genomic prediction (NTv3), bioRxiv v1 · Table 5 (page 34), row '650M', column 'Length ext. 5-7' |
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| Configuration: NTv3 650M training run (Boshar et al. 2025) | Protocol: NTv3 H100 GPU-hours per training stage (Boshar et al. 2025 Table 5) Dataset: NTv3 training data, all stages (Boshar et al. 2025) | 1,824 Accelerator time (Training stage 'Post-training 1' (1.2T tokens)) hour · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNTv3 650M training GPU-hours (Boshar et al. 2025 Table 5) gfm-guide-20261014-protocol-ntv3-training-gpu-hours Aggregation: Not reported A foundational model for joint sequence-function multi-species modeling at scale for long-range genomic prediction (NTv3), bioRxiv v1 · Table 5 (page 34), row '650M', column 'Post-training 1' |
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| Configuration: NTv3 650M training run (Boshar et al. 2025) | Protocol: NTv3 H100 GPU-hours per training stage (Boshar et al. 2025 Table 5) Dataset: NTv3 training data, all stages (Boshar et al. 2025) | 192 Accelerator time (Training stage 'Post-training 2' (54B tokens)) hour · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNTv3 650M training GPU-hours (Boshar et al. 2025 Table 5) gfm-guide-20261014-protocol-ntv3-training-gpu-hours Aggregation: Not reported A foundational model for joint sequence-function multi-species modeling at scale for long-range genomic prediction (NTv3), bioRxiv v1 · Table 5 (page 34), row '650M', column 'Post-training 2' |
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| Configuration: NTv3 650M training run (Boshar et al. 2025) | Protocol: NTv3 H100 GPU-hours per training stage (Boshar et al. 2025 Table 5) Dataset: NTv3 training data, all stages (Boshar et al. 2025) | 6,736 Accelerator time (Training stage 'Pre-training 8 kb' (10.5T tokens)) hour · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNTv3 650M training GPU-hours (Boshar et al. 2025 Table 5) gfm-guide-20261014-protocol-ntv3-training-gpu-hours Aggregation: Not reported A foundational model for joint sequence-function multi-species modeling at scale for long-range genomic prediction (NTv3), bioRxiv v1 · Table 5 (page 34), row '650M', column 'Pre-training 8 kb' |
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| Configuration: NTv3 8M training run (Boshar et al. 2025) | Protocol: NTv3 H100 GPU-hours per training stage (Boshar et al. 2025 Table 5) Dataset: NTv3 training data, all stages (Boshar et al. 2025) | 40 Accelerator time (Training stage 'Length ext. 1-4' (200B tokens)) hour · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNTv3 8M training GPU-hours (Boshar et al. 2025 Table 5) gfm-guide-20261014-protocol-ntv3-training-gpu-hours Aggregation: Not reported A foundational model for joint sequence-function multi-species modeling at scale for long-range genomic prediction (NTv3), bioRxiv v1 · Table 5 (page 34), row '8M', column 'Length ext. 1-4' |
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| Configuration: NTv3 8M training run (Boshar et al. 2025) | Protocol: NTv3 H100 GPU-hours per training stage (Boshar et al. 2025 Table 5) Dataset: NTv3 training data, all stages (Boshar et al. 2025) | 40 Accelerator time (Training stage 'Length ext. 5-7' (150B tokens)) hour · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNTv3 8M training GPU-hours (Boshar et al. 2025 Table 5) gfm-guide-20261014-protocol-ntv3-training-gpu-hours Aggregation: Not reported A foundational model for joint sequence-function multi-species modeling at scale for long-range genomic prediction (NTv3), bioRxiv v1 · Table 5 (page 34), row '8M', column 'Length ext. 5-7' |
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| Configuration: NTv3 8M training run (Boshar et al. 2025) | Protocol: NTv3 H100 GPU-hours per training stage (Boshar et al. 2025 Table 5) Dataset: NTv3 training data, all stages (Boshar et al. 2025) | 1,608 Accelerator time (Training stage 'Pre-training 8 kb' (10.5T tokens)) hour · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNTv3 8M training GPU-hours (Boshar et al. 2025 Table 5) gfm-guide-20261014-protocol-ntv3-training-gpu-hours Aggregation: Not reported A foundational model for joint sequence-function multi-species modeling at scale for long-range genomic prediction (NTv3), bioRxiv v1 · Table 5 (page 34), row '8M', column 'Pre-training 8 kb' |
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