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metadata 
license: apache-2.0
library_name: docker
tags:
  - finc2e
  - humai
  - governance
  - mlops
  - decision-intelligence
  - dual-metrics
  - docker
  - runtime
  - might-hub

FinC2E Dual-Metrics Runtime (Preview) — v1.0.0

A lightweight, container-first runtime for FinC2E that introduces Dual Metrics as a foundation for governance-grade AI systems.

This image is part of the shared Hugging Face → NVIDIA NGC release flow and is designed to work alongside FinC2E-Governance.

What is Dual Metrics?

Dual Metrics means measuring two dimensions simultaneously:

1) Runtime / System Metrics

  • Service health
  • Startup telemetry
  • Adapter pull timing
  • Deployment readiness

2) Decision-System Readiness

  • Foundations for audit-friendly execution
  • Governance-aligned decision trace hooks
  • Separation of runtime logic and private model weights

This runtime does not expose private weights.
It securely pulls them at startup using gated access.

Hugging Face Repositories

  • Runtime (this repository):
    MightHubHumAI/FinC2E_DualMetrics_Runtime

  • Adapter (private):
    MightHubHumAI/FinC2E_Llama33_70B_Adapter

  • Model Preview:
    MightHubHumAI/FinC2E

  • Governance Space:
    FinC2E-Governance / HumAI FinC2E HQ

Image Tags

  • Stable (immutable): 1.0.0
  • Moving: latest

For reproducible tests and mirrors (NGC / Brev), use 1.0.0.

Pull & Run

Pull image 

docker pull registry.huggingface.co/MightHubHumAI/FinC2E_DualMetrics_Runtime:1.0.0