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Neura-Tech-AI
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Model Details
Model Provider
Neura-Tech-AI
Model Tree
Neura-Tech-AI/Neuron-6x4B-Instruct
Input Modalities
Output Modalities
Supported Functionality
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:
Neuron focuses on delivering a capable multilingual AI assistant with strengths in:
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.
Project: Neuron
Developed by:
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.
Benchmark results will be published after the official evaluation process is completed.
| Category | Status |
|---|---|
| Knowledge | Coming Soon |
| Reasoning | Coming Soon |
| Coding | Coming Soon |
| Mathematics | Coming Soon |
| Alignment | Coming Soon |
| Agent | Coming Soon |
| Multilingual | Coming Soon |
Neuron-6x4B-Instruct is intended for:
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.