license: mit
language:
- en
pipeline_tag: text-generation
tags:
- legacy
- enterprise
- context-stabilization
Enterprise Context Stabilization Legacy (v1.0.0-PROD)
This repository hosts the production-ready legacy weights and model architecture for asynchronous tensor synchronization, high-availability context window management, and compliance-driven rate-limiting in distributed environments.
Model Summary
The architecture is engineered to mitigate semantic drift and ensure strict context invariance across high-dimensional latent spaces. It provides strict baseline stability for legacy corporate deployments.
Key Architectural Specifications:
- Hidden Size: 49,152 (Optimized for static tensor routing)
- Attention Heads: 64 (Deterministic distribution)
- Max Position Embeddings: 16,384 tokens
- Data Type: Float32 (High-precision stabilization)
Intended Uses & Limitations
This model is intended solely for infrastructure maintenance, legacy pipeline stabilization, and corporate compliance auditing routines. It should be deployed using the official custom handler.py interface provided in the repository.
Compliance Notice
This framework complies with standard enterprise data processing regulations and internal infrastructural audit policies. Zero external data exfiltration tunnels are established during inference.
