| Configuration: GenomeOcean-4B, BF16, vLLM generation (Yu et al. 2026) | Protocol: GenomeOcean-4B autoregressive generation throughput, power, energy efficiency and perplexity, BF16 versus FP8 (Yu et al. 2026 Table 4) Dataset: 96 GTDB Bacteria genome sequences bounded to 102,400 tokens (Yu et al. 2026) | 2.63 ± 0.01 Energy efficiency (Autoregressive generation; generated tokens per second per watt) sample-per-joule · higher Uncertainty: SD 0.01 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGenomeOcean-4B BF16 generation (Yu et al. 2026) model-execution-20261011-protocol-yu2026-genomeocean-generation-fp8 Aggregation: Not reported FP8 Inference in Genomic Foundation Models: Theoretical vs. Realized Speedups on GenomeOcean · Table 4, row Protocol 'Baseline', Quantization Scheme 'BF16', column 'Efficiency (tok/W)' |
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| Configuration: GenomeOcean-4B, BF16, vLLM generation (Yu et al. 2026) | Protocol: GenomeOcean-4B autoregressive generation throughput, power, energy efficiency and perplexity, BF16 versus FP8 (Yu et al. 2026 Table 4) Dataset: 96 GTDB Bacteria genome sequences bounded to 102,400 tokens (Yu et al. 2026) | 125.97 ± 1.04 Perplexity (Sliding-window perplexity on 96 GTDB Bacteria sequences (10,240-token context, 2,560-token stride)) unitless · lower Uncertainty: SD 1.04 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGenomeOcean-4B BF16 generation (Yu et al. 2026) model-execution-20261011-protocol-yu2026-genomeocean-generation-fp8 Aggregation: Not reported FP8 Inference in Genomic Foundation Models: Theoretical vs. Realized Speedups on GenomeOcean · Table 4, row Protocol 'Baseline', Quantization Scheme 'BF16', column 'Perplexity (± SD)' |
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| Configuration: GenomeOcean-4B, BF16, vLLM generation (Yu et al. 2026) | Protocol: GenomeOcean-4B autoregressive generation throughput, power, energy efficiency and perplexity, BF16 versus FP8 (Yu et al. 2026 Table 4) Dataset: 96 GTDB Bacteria genome sequences bounded to 102,400 tokens (Yu et al. 2026) | 692.40 ± 1.88 Power draw (Autoregressive generation; mean steady-state GPU power from NVML) watt · lower Uncertainty: SD 1.88 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGenomeOcean-4B BF16 generation (Yu et al. 2026) model-execution-20261011-protocol-yu2026-genomeocean-generation-fp8 Aggregation: Not reported FP8 Inference in Genomic Foundation Models: Theoretical vs. Realized Speedups on GenomeOcean · Table 4, row Protocol 'Baseline', Quantization Scheme 'BF16', column 'Power (W)' |
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| Configuration: GenomeOcean-4B, BF16, vLLM generation (Yu et al. 2026) | Protocol: GenomeOcean-4B autoregressive generation throughput, power, energy efficiency and perplexity, BF16 versus FP8 (Yu et al. 2026 Table 4) Dataset: 96 GTDB Bacteria genome sequences bounded to 102,400 tokens (Yu et al. 2026) | 1818.79 ± 7.95 Inference throughput (Autoregressive generation; generated tokens per second) sample-per-second · higher Uncertainty: SD 7.95 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGenomeOcean-4B BF16 generation (Yu et al. 2026) model-execution-20261011-protocol-yu2026-genomeocean-generation-fp8 Aggregation: Not reported FP8 Inference in Genomic Foundation Models: Theoretical vs. Realized Speedups on GenomeOcean · Table 4, row Protocol 'Baseline', Quantization Scheme 'BF16', column 'Throughput (tok/s)' |
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| Configuration: GenomeOcean-4B, FP8 KV cache, vLLM generation (Yu et al. 2026) | Protocol: GenomeOcean-4B autoregressive generation throughput, power, energy efficiency and perplexity, BF16 versus FP8 (Yu et al. 2026 Table 4) Dataset: 96 GTDB Bacteria genome sequences bounded to 102,400 tokens (Yu et al. 2026) | 3.14 ± 0.02 Energy efficiency (Autoregressive generation; generated tokens per second per watt) sample-per-joule · higher Uncertainty: SD 0.02 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGenomeOcean-4B FP8 KV-Cache generation (Yu et al. 2026) model-execution-20261011-protocol-yu2026-genomeocean-generation-fp8 Aggregation: Not reported FP8 Inference in Genomic Foundation Models: Theoretical vs. Realized Speedups on GenomeOcean · Table 4, row Protocol 'B.1', Quantization Scheme 'FP8 KV-Cache', column 'Efficiency (tok/W)' |
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| Configuration: GenomeOcean-4B, FP8 KV cache, vLLM generation (Yu et al. 2026) | Protocol: GenomeOcean-4B autoregressive generation throughput, power, energy efficiency and perplexity, BF16 versus FP8 (Yu et al. 2026 Table 4) Dataset: 96 GTDB Bacteria genome sequences bounded to 102,400 tokens (Yu et al. 2026) | 126.63 ± 1.04 Perplexity (Sliding-window perplexity on 96 GTDB Bacteria sequences (10,240-token context, 2,560-token stride)) unitless · lower Uncertainty: SD 1.04 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGenomeOcean-4B FP8 KV-Cache generation (Yu et al. 2026) model-execution-20261011-protocol-yu2026-genomeocean-generation-fp8 Aggregation: Not reported FP8 Inference in Genomic Foundation Models: Theoretical vs. Realized Speedups on GenomeOcean · Table 4, row Protocol 'B.1', Quantization Scheme 'FP8 KV-Cache', column 'Perplexity (± SD)' |
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| Configuration: GenomeOcean-4B, FP8 KV cache, vLLM generation (Yu et al. 2026) | Protocol: GenomeOcean-4B autoregressive generation throughput, power, energy efficiency and perplexity, BF16 versus FP8 (Yu et al. 2026 Table 4) Dataset: 96 GTDB Bacteria genome sequences bounded to 102,400 tokens (Yu et al. 2026) | 663.77 ± 8.84 Power draw (Autoregressive generation; mean steady-state GPU power from NVML) watt · lower Uncertainty: SD 8.84 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGenomeOcean-4B FP8 KV-Cache generation (Yu et al. 2026) model-execution-20261011-protocol-yu2026-genomeocean-generation-fp8 Aggregation: Not reported FP8 Inference in Genomic Foundation Models: Theoretical vs. Realized Speedups on GenomeOcean · Table 4, row Protocol 'B.1', Quantization Scheme 'FP8 KV-Cache', column 'Power (W)' |
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| Configuration: GenomeOcean-4B, FP8 KV cache, vLLM generation (Yu et al. 2026) | Protocol: GenomeOcean-4B autoregressive generation throughput, power, energy efficiency and perplexity, BF16 versus FP8 (Yu et al. 2026 Table 4) Dataset: 96 GTDB Bacteria genome sequences bounded to 102,400 tokens (Yu et al. 2026) | 2085.89 ± 34.49 Inference throughput (Autoregressive generation; generated tokens per second) sample-per-second · higher Uncertainty: SD 34.49 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGenomeOcean-4B FP8 KV-Cache generation (Yu et al. 2026) model-execution-20261011-protocol-yu2026-genomeocean-generation-fp8 Aggregation: Not reported FP8 Inference in Genomic Foundation Models: Theoretical vs. Realized Speedups on GenomeOcean · Table 4, row Protocol 'B.1', Quantization Scheme 'FP8 KV-Cache', column 'Throughput (tok/s)' |
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| Configuration: GenomeOcean-4B, W8A8 plus FP8 KV cache, vLLM generation (Yu et al. 2026) | Protocol: GenomeOcean-4B autoregressive generation throughput, power, energy efficiency and perplexity, BF16 versus FP8 (Yu et al. 2026 Table 4) Dataset: 96 GTDB Bacteria genome sequences bounded to 102,400 tokens (Yu et al. 2026) | 3.35 ± 0.02 Energy efficiency (Autoregressive generation; generated tokens per second per watt) sample-per-joule · higher Uncertainty: SD 0.02 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGenomeOcean-4B W8A8 + FP8 KV-Cache generation (Yu et al. 2026) model-execution-20261011-protocol-yu2026-genomeocean-generation-fp8 Aggregation: Not reported FP8 Inference in Genomic Foundation Models: Theoretical vs. Realized Speedups on GenomeOcean · Table 4, row Protocol 'B.2', Quantization Scheme 'W8A8 + FP8 KV-Cache', column 'Efficiency (tok/W)' |
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| Configuration: GenomeOcean-4B, W8A8 plus FP8 KV cache, vLLM generation (Yu et al. 2026) | Protocol: GenomeOcean-4B autoregressive generation throughput, power, energy efficiency and perplexity, BF16 versus FP8 (Yu et al. 2026 Table 4) Dataset: 96 GTDB Bacteria genome sequences bounded to 102,400 tokens (Yu et al. 2026) | 128.73 ± 1.04 Perplexity (Sliding-window perplexity on 96 GTDB Bacteria sequences (10,240-token context, 2,560-token stride)) unitless · lower Uncertainty: SD 1.04 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGenomeOcean-4B W8A8 + FP8 KV-Cache generation (Yu et al. 2026) model-execution-20261011-protocol-yu2026-genomeocean-generation-fp8 Aggregation: Not reported FP8 Inference in Genomic Foundation Models: Theoretical vs. Realized Speedups on GenomeOcean · Table 4, row Protocol 'B.2', Quantization Scheme 'W8A8 + FP8 KV-Cache', column 'Perplexity (± SD)' |
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| Configuration: GenomeOcean-4B, W8A8 plus FP8 KV cache, vLLM generation (Yu et al. 2026) | Protocol: GenomeOcean-4B autoregressive generation throughput, power, energy efficiency and perplexity, BF16 versus FP8 (Yu et al. 2026 Table 4) Dataset: 96 GTDB Bacteria genome sequences bounded to 102,400 tokens (Yu et al. 2026) | 647.01 ± 8.55 Power draw (Autoregressive generation; mean steady-state GPU power from NVML) watt · lower Uncertainty: SD 8.55 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGenomeOcean-4B W8A8 + FP8 KV-Cache generation (Yu et al. 2026) model-execution-20261011-protocol-yu2026-genomeocean-generation-fp8 Aggregation: Not reported FP8 Inference in Genomic Foundation Models: Theoretical vs. Realized Speedups on GenomeOcean · Table 4, row Protocol 'B.2', Quantization Scheme 'W8A8 + FP8 KV-Cache', column 'Power (W)' |
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| Configuration: GenomeOcean-4B, W8A8 plus FP8 KV cache, vLLM generation (Yu et al. 2026) | Protocol: GenomeOcean-4B autoregressive generation throughput, power, energy efficiency and perplexity, BF16 versus FP8 (Yu et al. 2026 Table 4) Dataset: 96 GTDB Bacteria genome sequences bounded to 102,400 tokens (Yu et al. 2026) | 2169.04 ± 24.30 Inference throughput (Autoregressive generation; generated tokens per second) sample-per-second · higher Uncertainty: SD 24.30 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGenomeOcean-4B W8A8 + FP8 KV-Cache generation (Yu et al. 2026) model-execution-20261011-protocol-yu2026-genomeocean-generation-fp8 Aggregation: Not reported FP8 Inference in Genomic Foundation Models: Theoretical vs. Realized Speedups on GenomeOcean · Table 4, row Protocol 'B.2', Quantization Scheme 'W8A8 + FP8 KV-Cache', column 'Throughput (tok/s)' |
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