ERNIE-8B-NF4 | Debloated

This repository contains the ERNIE-8B transformer weights, debloated and quantized to 4-bit NF4 using bitsandbytes for maximum efficiency on consumer-grade hardware (16GB VRAM limit).

🚀 Model Details

• Architecture: ERNIE Image Transformer (8B Parameters)
• Backbone: Mistral-3 Text Encoder
• Quantization: NF4 (NormalFloat 4-bit)
• Primary Use: High-fidelity image synthesis within the Asset Editor ecosystem.

🛠 Integration

This model is specifically tuned for the Asset Editor pipeline. It supports dynamic Trajectory Shifting (mu) to ensure coherency at various inference step counts.

Usage in Asset Editor:

1. Ensure the models/ernie-bnb-nf4 directory exists.
2. The system will automatically detect and strike this manifold upon selection in the UI.

🔗 Links

• Core Engine: Veetance Asset Editor
• Triage & Development: Asset Editor GitHub

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Note: This is a specialized manifold optimized for the Veetance sovereign resource governor.