Open category definition
FinanceGPT Large Quantitative Model specification
A governed quantitative or generative financial model module that consumes typed numeric, categorical or time-series features and emits typed, versioned quantitative evidence. It is not a language model.
Machine-readable specificationAllowed inputs
✓Numeric
✓Categorical
✓Time Series
Excluded inputs
×Raw Document Text
×Freeform Language
Task families
ForecastingValuationRiskSimulationOptimizationScenario GenerationDerivatives Surface GenerationEvidence contract
financegpt.lqm.evidence.v1
Checkpoint, evaluation, provenance and execution evidence stay attached to quantitative outputs.
Required evaluation gates
✓Statistical Fidelity
✓Temporal Structure
✓Cross Series Fidelity
✓Tail Behaviour
✓Scenario Diversity
✓Adversarial Robustness
✓Data Poisoning Robustness
Non-negotiable authority boundary
A QLM language runtime may explain a verified LQM Evidence Packet, but it never receives LQM latent state and never becomes numeric authority.
Publication to a model hub and promotion into FinanceGPT are separate governed actions. Neither implies the other.