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license: apache-2.0
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library_name: docker
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tags:
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---
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### 1) Runtime / System Metrics
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- Service health
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- Startup telemetry
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- Adapter pull timing
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- Deployment readiness
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### 2) Decision-System Readiness
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- Foundations for audit-friendly execution
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- Governance-aligned decision trace hooks
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- Separation of runtime logic and private model weights
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This runtime does **not** expose private weights.
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It securely pulls them at startup using gated access.
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---
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## Hugging Face Repositories
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- **Runtime (this repository):**
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`MightHubHumAI/FinC2E_DualMetrics_Runtime`
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- **Adapter (private):**
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`MightHubHumAI/FinC2E_Llama33_70B_Adapter`
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- **Governance Space:**
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`FinC2E-Governance` / `HumAI FinC2E HQ`
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---
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- **Stable (immutable):** `1.0.0`
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- **Moving:** `latest`
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For reproducible tests and mirrors (NGC / Brev), use **`1.0.0`**.
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---
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## Pull & Run
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### Pull image
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```bash
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docker pull registry.huggingface.co/MightHubHumAI/FinC2E_DualMetrics_Runtime:1.0.0
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Run container
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docker run --rm \
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-e HF_TOKEN=YOUR_HF_TOKEN \
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-e ADAPTER_REPO=MightHubHumAI/FinC2E_Llama33_70B_Adapter \
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-p 8000:8000 \
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registry.huggingface.co/MightHubHumAI/FinC2E_DualMetrics_Runtime:1.0.0
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HF_TOKEN must have read access to the private adapter repository.
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Endpoints
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Health
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curl http://localhost:8000/health
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Example response:
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{"status":"ok","service":"FinC2E Runtime"}
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Dual Metrics
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curl http://localhost:8000/metrics
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"runtime": "FinC2E_DualMetrics_Runtime",
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"adapter_repo": "MightHubHumAI/FinC2E_Llama33_70B_Adapter",
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"download_seconds": 4.242,
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"timestamp": "2025-09-16T14:30:00Z"
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}
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Environment Variables
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HF_TOKEN (required)
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Hugging Face token with permission to access the private adapter repository.
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ADAPTER_REPO (optional)
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Defaults to MightHubHumAI/FinC2E_Llama33_70B_Adapter.
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PORT (optional)
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Defaults to 8000.
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Security & IP Model
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Adapter weights are private and never embedded in the image.
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Runtime image is public, auditable, and mirrorable.
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This separation enables:
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controlled access
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governance and audit readiness
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Hugging Face → NVIDIA NGC parity
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Brev and enterprise deployment flows
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Release Notes — v1.0.0
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First public runtime release.
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No breaking changes under the same tag.
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All future changes increment semver (1.0.1, 1.1.0, 2.0.0).
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This ensures deterministic behavior across registries and deployment platforms.
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Roadmap
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Upcoming iterations include:
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Decision trace endpoints (JSONL, audit-ready).
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Model routing and orchestration hooks (Galaxy container foundations).
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NVIDIA NGC packaging and listing.
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Brev deployment profiles for GPU-backed environments.
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License
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Apache-2.0 applies to runtime code and container packaging.
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FinC2E Dual-Metrics Runtime (Preview) — v1.0.0
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---
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license: apache-2.0
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library_name: docker
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tags:
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- finc2e
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- humai
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- governance
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- mlops
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- decision-intelligence
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- dual-metrics
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- docker
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- runtime
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- might-hub
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A lightweight, container-first runtime for FinC2E that introduces Dual Metrics as a foundation for governance-grade AI systems.
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This image is part of the shared Hugging Face → NVIDIA NGC release flow and is designed to work alongside FinC2E-Governance.
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WHAT IS DUAL METRICS
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Dual Metrics means measuring two dimensions simultaneously:
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1) Runtime / System Metrics
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2) Decision-System Readiness
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HF REPOSITORIES
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Runtime: MightHubHumAI/FinC2E_DualMetrics_Runtime
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Adapter (private): MightHubHumAI/FinC2E_Llama33_70B_Adapter
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Model preview: MightHubHumAI/FinC2E
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Governance Space: FinC2E-Governance / HumAI FinC2E HQ
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IMAGE TAGS
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Stable: 1.0.0
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Moving: latest
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PULL & RUN
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docker pull registry.huggingface.co/MightHubHumAI/FinC2E_DualMetrics_Runtime:1.0.0
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docker run --rm -e HF_TOKEN=YOUR_HF_TOKEN -e ADAPTER_REPO=MightHubHumAI/FinC2E_Llama33_70B_Adapter -p 8000:8000 registry.huggingface.co/MightHubHumAI/FinC2E_DualMetrics_Runtime:1.0.0
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ENDPOINTS
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/health
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/metrics
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ENVIRONMENT VARIABLES
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HF_TOKEN (required)
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ADAPTER_REPO (optional)
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PORT (optional)
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SECURITY
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Adapter weights remain private and are never embedded in the image.
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RELEASE NOTES
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v1.0.0 – First public runtime release.
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ROADMAP
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Decision trace endpoints
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Model routing
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NGC packaging
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Brev deployment
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LICENSE
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Apache-2.0 applies to runtime code and container packaging.
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