README.md

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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."