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Primeomicx
This profile connects the 2 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.
Published tasks: Multiple choice, Text classification.
Reported licenses: mit. Open a record to review its specific license and conditions.
Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.
Laya v3 is an ultra-fast, local System-1 Decision Engine fine-tuned on top of ModernBERT-Large for Nextflow DSL2 and the nf-core bioinformatics ecosystem. It is designed to make zero-latency, high-accuracy architectural decisions in autonomous pipeline compilers (such as Codaris), resolving complex setup questions without burning LLM tokens. Evaluated across 40 realistic Nextflow architecture tasks
A standardized, multi-task decision-layer dataset for training Laya (System-1 Decision Engines) and fast autonomous agents across Nextflow DSL2 and the complete nf-core bioinformatics ecosystem. 1. QC Read Adaptation (1,500 records): Illumina NovaSeq/NextSeq, PacBio HiFi CCS, Oxford Nanopore Direct RNA/DNA quality control adaptation and tool swapping. 2. Resource Profiling & Directives (1,500 records): Process memory, CPU, time, and dynamic retry/error-strategy directive rules across genome-scale tools. 3. Subworkflow Packaging (622 records): Determining when to bundle multi-process tasks into local subworkflows or reuse official nf-core subworkflows. 4. Samplesheet Schema & Header…