### ✅ **Execution, Absolute.**
While most models are built to converse, **Sovereign-Code** is built to execute. It is a specialized, cold-logic engine designed for a single purpose: high-fidelity technical output.
Engineered by VaultAI, Sovereign-Code is a custom **32-Layer Hybrid** model. It utilizes an aggressive architectural "passthrough" to bridge the deep structural coding intelligence of **Qwen 2.5 Coder** with the rigid, high-instruction-following cortex of **Llama 3.1**. It does not offer opinions; it delivers functional syntax.
## 🧠 Architecture & Identity: The Logic Terminal
Sovereign-Code is a "Frankenmerge" that ignores standard architectural safety to achieve peak performance. By stacking disparate layers, VaultAI has created a model that processes raw intent through a coding-heavy base before filtering it through an elite instruction-following top-layer.
**Key Capabilities:**
* **Deterministic Syntax:** Optimized for zero-fluff code generation across Python, C++, Rust, and Mojo.
* **Tattooed Monologue:** Hardcoded via a custom Jinja2 template to engage in a mandatory three-phase internal processing loop inside `` tags before every output.
* **Hardware Optimized:** Designed for dual-GPU configurations (Polaris/gfx803) using `llama.cpp` and Vulkan backends.
### ⚡ Performance & Benchmarks (Estimated)
Sovereign-Code is designed for maximum throughput on local consumer hardware (RX 570/580 8GB setups).
| Metric | Target Hardware | VRAM Footprint | Logic Mode |
| :--- | :--- | :--- | :--- |
| **Quantization** | Q4_K_M (GGUF) | ~9.2 GB | **Full GPU Offload** |
| **Context Length** | 32,768 Tokens | High Headroom | Optimized for Repo-level Debugging |
### Standardized Accuracy Benchmarks
*Benchmarks are currently queued for evaluation.*
| Benchmark | Focus Area | Score | Status |
| :--- | :--- | :--- | :--- |
| **HumanEval** | Coding & Logic | *TBD* | ⏳ Pending Eval |
| **MBPP** | Python Programming | *TBD* | ⏳ Pending Eval |
| **GSM8k** | Mathematical Reasoning | *TBD* | ⏳ Pending Eval |
## Model Details
- **Type**: Causal Language Model (Hybrid Passthrough)
- **Base Architecture**: Qwen 2.5 (7B) + Llama 3.1 (8B)
- **Total Parameters**: ~15B (Effective density via Layer Stacking)
- **Merge Method**: Passthrough / Frankenmerge
- **Weights Composition**:
- **Base (Layers 0-16)**: [Qwen2.5-Coder-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct)
- **Cortex (Layers 16-32)**: [Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct)
- **License**: Other (See Base Model Licenses)
## Why Sovereign-Code?
- **The Execution Engine:** No conversational "As an AI..." filler.
- **Analytical Grounding:** The built-in `` protocol forces the model to debug its own code conceptually before writing a single line.
- **Agentic Ready:** Optimized for tool-calling and autonomous development workflows.
