Atlantis-Obelisk: Sovereign Edge Marine Coprocessor

Atlantis-Obelisk is Coralfil's sovereign edge foundation coprocessor fine-tuned for physical oceanography, mariculture formulation, benthic restoration, and Canadian maritime statutory compliance (DFO, Transport Canada, IMO).

Optimized for low-latency onboard maritime vessel deployments, autonomous sensor nodes, and edge workstations.

Architecture and Specifications

• Base Architecture: Qwen 2.5 14B Instruct (4-bit base)
• Fine-Tuning: Rank-Stabilized LoRA (r=16, alpha=32) covering all 7 attention projection layers (q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj).
• Context Length: 32,768 tokens (up to 128k via YaRN scaling).
• Domain Benchmarks: Evaluated on the 52-scenario sovereign AboveBoard benchmark (91.2% marine domain precision, 93.5% statutory pass rate).
• VRAM Footprint: 9.2 GB (runs locally on single NVIDIA RTX 3060 or Apple Silicon M-series).
• Interactive Playground: https://atlantis-llm.io
• Pacific Ocean Monitor: https://coralfil.com/monitor

Download and Run Locally

With Hugging Face CLI:

hf download Coralfil/Atlantis-Obelisk --local-dir ./atlantis-obelisk

With Python (Transformers and PEFT):

from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel
import torch

base_model_id = "Qwen/Qwen2.5-14B-Instruct"
adapter_id = "Coralfil/Atlantis-Obelisk"

tokenizer = AutoTokenizer.from_pretrained(base_model_id)
base_model = AutoModelForCausalLM.from_pretrained(
    base_model_id,
    torch_dtype=torch.bfloat16,
    device_map="auto"
)
model = PeftModel.from_pretrained(base_model, adapter_id)

prompt = "Explain how omega aragonite saturation deficit impacts juvenile Crassostrea gigas larval settlement."
inputs = tokenizer(f"<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant\n", return_tensors="pt").to("cuda")
outputs = model.generate(**inputs, max_new_tokens=512)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

Citation and Attribution

@software{coralfil_atlantis_obelisk_2026,
  author = {Coralfil},
  title = {Atlantis-Obelisk: Sovereign Edge Marine Foundation Coprocessor},
  url = {https://atlantis-llm.io},
  year = {2026}
}