The DNA test
for AI models.
Identify model provenance, detect derivative lineage, and audit architecture before you deploy. Scan any HuggingFace model in seconds.
No backdoor detection. No security claims. Just architectural truth.
Stage 1 architecture screening is free and unlimited. No credit card required.
More than a similarity score.
Deep Derivative Detection
We compare against 2,200+ verified architectures across 545 organizations. Identifies fine-tunes, distillations, and repackaged models that config checks miss.
Two-Stage Analysis
Stage 1 screens architecture configs instantly (free, unlimited). Stage 2 computes five weight-level signals for definitive lineage determination.
Audit-Ready Output
Pro plans export SBOM-compatible reports and PDF audit trails with lineage origin, technique provenance, and compliance verdict — ready for governance review.
See the analysis in action.
Stage 1 output is live today. Stage 2 weight analysis shown below is a roadmap preview.
$ modeldna scan poolside/Laguna-XS.2 [INIT] Connecting to ModelAtlas reference database (2,241 models) [SCAN] Fetching config.json... ── STAGE 1: Architectural Screening ────────────────────────── Architecture: LagunaForCausalLM Hidden size: 2048 Vocab size: 100,352 Lineage family: GQA+SWA Hybrid Stage 1 verdict: SIMILAR DESIGN → proceed to Stage 2 ── STAGE 2: Weight-Level DNA Fingerprint ───────────────────── EAS Embedding anchor similarity: 0.12 ▪▪░░░░░░░░ low END Norm distribution: 0.31 ▪▪▪░░░░░░░ low NLF Norm layer fingerprint: 0.28 ▪▪░░░░░░░░ low LEP Layer energy profile: 0.41 ▪▪▪▪░░░░░░ moderate WVC Weight cosine: 0.18 ▪░░░░░░░░░ low ── VERDICT ──────────────────────────────────────────────────── Composite DNA Score: 0.26 / 1.00 Classification: ARCHITECTURAL INSPIRATION (not weight-derived) Lineage: GQA+SWA Hybrid — adopted pattern from StepFun (Feb 2026) Weights: INDEPENDENT — different vocab rules out tokenizer inheritance ✓ No weight inheritance detected Report saved: ./modeldna-report-laguna-xs2.json Powered by ModelAtlas · modeldna.ai · a RadicalNotion product
Two stages. One verdict.
Architecture Screening
We parse the model config to identify architecture family, vocab, and technique signatures. Resolves the majority of cases instantly.
FREE · UNLIMITED · <3sWeight-Level AnalysisROADMAP
Five statistical signals (EAS, END, NLF, LEP, WVC) will analyze weight distributions to detect derivative relationships configs can't reveal.
STAGE 2 · Coming soonEnriched Verdict
Composite DNA score, lineage classification, and optional ModelAtlas enrichment — VRAM estimates, ARS scores, and technique origin chain.
PRO · JSON / PDF / SBOMDeveloper-priced. Enterprise-capable.
The ModelAtlas knowledge engine runs on RadicalNotion infrastructure. You get enterprise-grade depth at a fraction of incumbent pricing.
All scanning is Stage 1 — architecture screening from config.json only. No weight download required. Stage 2 weight-level analysis is on the roadmap.
For anyone using open weights on HuggingFace.
- ✓Unlimited Stage 1 scanning — all public HF models
- ✓Architecture family identification
- ✓Claim validation — flags unverifiable assertions
- ✓Derivative discovery — find models sharing your base
- ✓JSON output
For MLOps and AI platform teams vetting models at scale.
- ✓Everything in Free
- ✓Full API access — bulk scanning for pipelines
- ✓ModelAtlas enrichment — VRAM, ARS, technique chain
- ✓Derivative alerts — notified when copies appear
- ✓PDF + SBOM audit export for compliance review
- ✓5 team seats + priority support
For open weight hosters, compliance teams, and enterprises.
- ✓Everything in Pro
- ✓Private model ingestion + on-premise deployment
- ✓Custom ModelAtlas reference databases
- ✓Automated moderation for model hosting platforms
- ✓SLA guarantees + dedicated engineering