README.md

---
library_name: transformers
license: apache-2.0
base_model:
- Qwen/Qwen3-4B-Instruct-2507
- Qwen/Qwen3-4B-Thinking-2507
- Neura-Tech-AI/Neuron-4B-Instruct
pipeline_tag: text-generation
language:
- en
- zh
- hi
- ar
- ja
- ko
- fr
- de
- es
- pt
- it
- ru
- tr
- vi
- th
- id
- ms
- bn
- ur
- ta
- te
- mr
- gu
- pa
- fa
new_version: Neura-Tech-AI/Neuron-6x4B-Instruct
tags:
- Neura Tech AI
- Neuron
- instruct
- llm
- transformer
- mixture-of-experts
- moe
- multilingual
- 24B
- Qwen3
- Neuron-6x4B-Instruct
- safetensors
- conversational
---

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  <picture>
      <img src="Neuron.png" width="90%" alt="Neuron">
  </picture>
</div>
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# 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.

| Category | Status |
|----------|--------|
| Knowledge | Coming Soon |
| Reasoning | Coming Soon |
| Coding | Coming Soon |
| Mathematics | Coming Soon |
| Alignment | Coming Soon |
| Agent | Coming Soon |
| Multilingual | Coming Soon |

## 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.

---

# © 2026 Neura Tech AI. All rights reserved.