Noesion Radarnoesion.ai
Research2026-07-30

Loka, working with Arcee AI, AWS and Prime Intellect, published a case study on post-training Arcee's open Trinity Mini model (26B mixture-of-experts, 3B active parameters, 128k context) for biomedical research workflows. Two reinforcement-learning environments were built on Prime Intellect's prime-rl: `lokahq/drug-tool-rl@3`, covering seven retrieval tools over PubMed, GEO, KEGG, UniProt and STRING plus optional NVIDIA NIM folding/docking tools, and `lokahq/bioreason-go-rl@1`, which requires Gene Ontology annotation returned as strict JSON. Across 21 GRPO+LoRA runs, run 120 was promoted: held-out Drug Tool score rose from 70.8% to 81.2% and BioReason reached 0.863 on a composite of GO F1, tree similarity, aspect coverage and JSON validity. A single GEPA prompt-search pass beforehand lifted base validation ~84% on BioReason and 7.7% on Drug Tool. The adapter serves an agentic app built with Strands, FastAPI and React on ECS Fargate.

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