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title: README
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# ⚡ Neuronic

**High-Performance Agents for the Edge.**

Neuronic is a specialized AI research and development lab focused on building hyper-optimized, low-parameter models for function calling, tool use, and agentic routing. We believe that intelligence doesn't always require massive compute—it requires precision.

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## 🎯 Our Focus

*   **Function-Calling Specialists:** We train models to act as deterministic routers, prioritizing strict syntax, reliable JSON output, and accurate tool utilization over general chat.
*   **Edge Computing:** By optimizing models in the 0.5B to 7B parameter range, we make local, high-speed agentic workflows possible on edge devices, mobile hardware, and consumer GPUs.
*   **Low Latency:** Designed for environments where every millisecond counts. 

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## 🚀 Featured Models

### **Nero1-0.5B**
Our flagship router. A 500-million parameter model fine-tuned specifically for agentic tool use and structural reliability. 
*   **Base Model:** `Qwen/Qwen2.5-Coder-0.5B-Instruct`
*   **Dataset:** smirki/Agentic-Coding-Tessa
*   **Use Case:** Local Python toolkits, fast API routing, and strictly typed outputs.

### **Nero-0.5B-GGUF**
The quantized versions of Nero for immediate deployment on CPU or low-VRAM environments.
*   **Formats:** `Q8_0` (Maximum accuracy), `Q4_K_M` (Maximum speed)
*   **Framework:** Ready for `llama.cpp` and LM Studio.

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## 🛠️ Usage Guidelines

Neuronic models are heavily biased toward action over conversation. For optimal performance:
1.  **Use ChatML formatting.**
2.  **Define tools explicitly** in your system prompt.
3.  **Keep temperatures low** (`0.1 - 0.3`) to prevent structural hallucinations during complex JSON generation.

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## 🔗 Links & Resources

*   [GitHub] *(Coming Soon)*
*   [Documentation] *(Coming Soon)*
*   [Community Discord](#) *(Coming Soon)*

> *"Precision over parameters."*