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| title: README |
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| # ⚡ Neuronic |
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| **High-Performance Agents for the Edge.** |
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| 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 |
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| * **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 |
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| ### **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. |
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| ### **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 |
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| 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 |
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| * [GitHub] *(Coming Soon)* |
| * [Documentation] *(Coming Soon)* |
| * [Community Discord](#) *(Coming Soon)* |
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| > *"Precision over parameters."* |
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