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Aura-1-Coding / README.md
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---
license: llama3.1
gated: true
extra_gated_heading: "Access Request for Aura-1-Coding"
extra_gated_description: "By requesting access to this model, you agree to the waveforce-ai operational boundaries and data collection policies detailed in the Terms and Conditions below."
extra_gated_button_content: "Submit Access Request"
extra_gated_fields:
Name: text
Date of Birth: date_picker
Primary Intent:
type: select
options:
- "Personal Use"
- "Business Use"
---
# Aura-1-Coding (Standalone 4-Bit Variant)
Aura-1-Coding is an ultra-fast, standalone code generation model optimized using localized high-density distillation loops. Built on top of the `Meta-Llama-3.1-8B-Instruct` architecture, it features a protected, internal chain-of-thought system designed to execute complex operations without raw reasoning exposure, preventing multi-level distillation attacks and consumer dilution.
---
## πŸ”’ Terms and Conditions (Gated Agreement)
By requesting access to, downloading, or interacting with the weights of **Aura-1-Coding**, you explicitly bind yourself to the following team directives:
1. **Anti-Tampering & Guardrails:** You are strictly prohibited from modifying, fine-tuning for malicious use, or executing adversarial prompt injections ("jailbreaks") to force the model into coding harmful, illegal, or destructive payloads.
2. **Data Collection Policy:** To ensure alignment, system stability, and project integrity, waveforce-ai reserves the right to collect metadata, execution parameters, and request telemetry passing through the infrastructure.
3. **Usage Boundaries:** Requests submitted under *Personal Use* are restricted to non-commercial research and local development environments. *Business Use* tier allocations must comply with corporate liability parameters.
---
## ⚑ Performance Footprint & Specifications
When access is granted, the primary execution architecture registers under the following hardware parameters:
| Metric / Component | Configuration Specification |
| :--- | :--- |
| **Base Architecture** | Meta-Llama-3.1-8B-Instruct |
| **Quantization Format** | 4-Bit NormalFloat (`NF4`) with Double Quantization |
| **Compute Data Type** | `Float16` Execution Gates |
| **Optimizer Blueprint** | 8-Bit Paged Memory Managed |
| **Target Alignment** | High-Density Multi-File Coding Stack |
| **VRAM Operational Footprint** | ~5.5 GiB (Ideal for consumer-grade GPU pipelines) |
---
## πŸ“ Repository Structure
The primary model assets are isolated inside the main distribution branch:
```text
waveforce-ai/Aura-1-Coding/
└── aura-1-coding-model-file/
└── model.safetensors <- [5.70 GB Standalone Weights Binary]