Coralfil-Atlantis/Atlantis-Pyramid
0.1B • Updated • 6
AI & ML interests
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Organization Card
Coralfil
Domain-specific AI for the ocean. We train and serve open-weights LLMs on marine science, fisheries, and maritime regulatory compliance — with citations, provenance audits, and benchmarks that disclose their own weaknesses.
Models (Apache 2.0)
| Model | Base | What it's for | Key verified results |
|---|---|---|---|
| Atlantis-Pyramid-v2 | Qwen2.5-32B-Instruct + DeepSeek-R1-Distill-Qwen-32B | 128k-ctx marine-science foundation model | IFEval prompt 55.0/64.0 (n=100, lm-eval 0.4.13) · AboveBoard-Marine-52 97.1%/100% MC (internal 2026-10-11) |
| Atlantis-Obelisk-14B | unsloth/Qwen2.5-14B-Instruct-bnb-4bit | compliance & action-synthesis coprocessor | IFEval prompt 52.31/55.27 (full 541 set) · AboveBoard MC 22/22* |
* position-bias caveat disclosed on the benchmark card; v2 key rebalance in progress.
Datasets & benchmarks
- AboveBoard-Marine-52 — 52 auditable marine-safety/regulatory scenarios with rubrics
- Atlantis Ocean Reasoning SFT & DPO — training corpus (CC-BY-4.0, provenance-cleared)
- Pacific Marine Taxonomy & CCME Water Quality — 64 species w/ YOLO labels + WoRMS AphiaIDs; 953 CCME records
Principles
- Open weights (Apache 2.0), open data where licence allows (CC-BY-4.0 / OGL-Canada)
- Every published number measured by us, with protocol and n disclosed
- Correction logs on our cards when we get something wrong
Serving: os.coralfil.com and atlantis-llm.io· Contact: roland.poulin@coralfil.com
datasets 0
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