Neura-Tech-AI/Neuron-6x4B-Instruct
<div align="center"> <picture> <img src="Neuron.png" width="90%" alt="Neuron"> </picture> </div> <hr>
Neuron-6x4B-Instruct
A next-generation open-source Mixture of Experts (MoE) language model developed by Neura Tech AI.
Overview
Neuron-6x4B-Instruct is a high-performance instruction-tuned Mixture of Experts (MoE) language model built upon the Qwen3 architecture family. It features 6 routing experts, each based on a 4B-scale expert design, providing improved expert specialization, efficient sparse computation, and enhanced multilingual capabilities.
Neuron is designed to deliver strong performance across a wide range of AI workloads while maintaining efficient expert routing for inference.
The model is developed entirely by:
- Neura Tech AI
Neuron focuses on delivering a capable multilingual AI assistant with strengths in:
- High-efficiency sparse expert routing
- Advanced logical reasoning
- Software engineering and coding assistance
- Mathematics and scientific problem solving
- Agentic workflows and tool calling
- Long-context document understanding
- Multilingual communication across major world languages
Model Architecture & Details
Neuron-6x4B-Instruct utilizes a sparse Mixture of Experts architecture where tokens are dynamically routed to specialized experts during inference, improving efficiency without activating every parameter.
- Model Name: Neuron-6x4B-Instruct
- Base Architecture: Transformer Decoder (Sparse Mixture of Experts)
- Parameters: ~24B Total Parameters
- Total Experts: 6 Specialists
- Expert Size: ~4 Billion Parameters per Expert
- Active Parameters: ~4B Parameters Routed per Token (Dynamic Routing)
- Context Length: 262,144 Tokens
- License: Apache-2.0
Developer
Project: Neuron
Developed by:
- Neura Tech AI
Base Model Acknowledgment
We sincerely thank the Qwen Team for releasing the Qwen3 model family under the Apache 2.0 License, which served as the architectural foundation for this project.
Features
- 6-Expert Sparse MoE Architecture: Dynamic routing across six specialized experts for efficient inference.
- Instruction Optimized: Tuned for helpful, structured, and accurate responses.
- Advanced Reasoning: Strong performance on multi-step reasoning and analytical tasks.
- Coding Assistant: Designed for software development, debugging, scripting, and code generation.
- Large Context Window: Supports contexts up to 262K tokens for long documents and conversations.
- Tool Calling Ready: Suitable for AI agents, structured outputs, JSON generation, and automation workflows.
- Multilingual: Supports a broad range of major global languages.
Performance
Benchmark results will be published after the official evaluation process is completed.
Intended Use
Neuron-6x4B-Instruct is intended for:
- Conversational AI
- Coding assistants
- AI agents
- Research
- Education
- Content generation
- Translation
- Long-context document analysis
- Software engineering workflows
Disclaimer
This model is intended for research and production use where appropriate. Outputs should be reviewed before being relied upon in safety-critical, legal, financial, or medical applications.