Update README.md

README.md

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 tags:
 - Neuron-46x4B-Instruct
 - Neura Tech AI
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+---
+
+## Neuron-46x4B-Instruct
+
+«A large-scale, sparse Mixture-of-Experts language model engineered by **Neura Tech AI**, combining 46 specialized experts with efficient sparse activation for high-capacity reasoning and instruction following.»
+
+# Overview
+
+**Neuron-46x4B-Instruct** is a high-capacity instruction-tuned **Mixture-of-Experts (MoE)** language model developed by **Neura Tech AI**.
+
+The model combines **46 specialized experts**, each based on a 4B-scale expert design, resulting in approximately **125B total parameters** while activating only approximately **8B parameters per token** during inference.
+
+This sparse architecture is designed to provide the representational capacity of a much larger model while keeping per-token computation substantially lower than a dense 125B-parameter model.
+
+**Neuron-46x4B-Instruct** is designed for demanding AI workloads including reasoning, coding, multilingual conversations, mathematics, long-context understanding, and agentic applications.
+
+# Model Architecture & Details
+
+- **Model Name:** Neuron-46x4B-Instruct
+- **Developer:** Neura Tech AI
+- **Architecture:** Sparse Mixture of Experts (MoE)
+- **Total Parameters:** ~125B
+- **Active Parameters:** ~8B per token
+- **Total Experts:** 46
+- **Expert Scale:** ~4B parameters per expert
+- **Base Model Family:** Qwen3
+- **Model Type:** Instruction-Tuned Causal Language Model
+- **License:** Apache-2.0
+- **Primary Format:** Safetensors
+
+# Why Neuron-46x4B-Instruct?
+
+Neuron-46x4B-Instruct is built around the idea that **model capacity and inference efficiency do not necessarily have to scale together**.
+
+Instead of activating the entire model for every token, the MoE routing mechanism dynamically selects a subset of specialized parameters. This allows Neuron to maintain a very large overall parameter capacity while keeping the number of active parameters significantly lower.
+
+With approximately **125B total parameters and ~8B active parameters**, Neuron-46x4B-Instruct is designed to offer a strong balance between:
+
+- Large model capacity
+- Sparse computation
+- Expert specialization
+- Reasoning capability
+- Instruction following
+- Multilingual performance
+- Efficient inference
+
+# Key Features
+
+# 🧠 Large-Scale Sparse MoE
+
+Neuron-46x4B-Instruct contains **46 specialized experts** within a sparse MoE architecture. The router dynamically determines which experts should process each token.
+
+# ⚡ Efficient Active Computation
+
+Although the model contains approximately **125B total parameters**, only around **8B parameters are active per token**, significantly reducing the computational workload compared with activating the entire parameter set.
+
+# 🔬 Expert Specialization
+
+The large expert pool allows different experts to specialize in different patterns, domains, languages, reasoning behaviors, and instruction types.
+
+# 💻 Coding & Software Engineering
+
+Neuron is designed for programming-related workloads including:
+
+- Code generation
+- Debugging
+- Code explanation
+- Scripting
+- Software architecture
+- Technical reasoning
+
+# 🧮 Reasoning & Mathematics
+
+The model is intended to handle multi-step analytical tasks, mathematical reasoning, logical problems, and complex instructions.
+
+# 🌍 Multilingual
+
+**Neuron-46x4B-Instruct** supports a broad range of languages, including:
+
+- English
+- Chinese
+- Hindi
+- Arabic
+- Japanese
+- Korean
+- French
+- German
+- Spanish
+- Portuguese
+- Italian
+- Russian
+- Turkish
+- Vietnamese
+- Thai
+- Indonesian
+- Malay
+- Bengali
+- Urdu
+- Tamil
+- Telugu
+- Marathi
+- Gujarati
+- Punjabi
+- Persian
+- Etc
+
+# 🤖 Agentic & Tool-Use Workloads
+
+The model can be used as a foundation for AI agents, structured generation, automation systems, tool-calling workflows, and other intelligent applications.
+
+# Model Configuration
+
+**Property**| **Value**
+Model| Neuron-46x4B-Instruct
+Architecture| Sparse Mixture of Experts
+Total Parameters| ~125B
+Active Parameters| ~8B/token
+Experts| 46
+Expert Size| ~4B
+Model Family| Qwen3
+Task| Text Generation
+License| Apache-2.0
+Format| Safetensors
+
+# Base Models
+
+**Neuron-46x4B-Instruct** builds upon the Qwen3 model family and incorporates Neura Tech AI's Neuron model work.
+
+# Base Model Acknowledgment
+
+We sincerely thank the **Qwen Team** for developing and openly releasing the Qwen3 model family under the Apache-2.0 license.
+
+We also acknowledge the upstream models and technologies that contributed to the development of the Neuron model family.
+
+# Intended Use
+
+**Neuron-46x4B-Instruct** can be used for:
+
+- Conversational AI
+- Coding assistants
+- AI agents
+- Research
+- Education
+- Mathematics
+- Content generation
+- Translation
+- Document analysis
+- Software engineering
+- Multilingual applications
+- Experimental MoE research
+
+# Performance
+
+**Neuron-46x4B-Instruct** is designed as a high-capacity sparse model with approximately **125B total parameters and ~8B active parameters per token**.
+
+# Inference
+
+**Neuron-46x4B-Instruct** is intended to be used with frameworks that support its model architecture and sparse Mixture-of-Experts implementation.
+
+For deployment, users should ensure that their inference framework supports the specific architecture and routing configuration used by the model.
+
+# Limitations
+
+Despite its large parameter capacity, **Neuron-46x4B-Instruct** can still produce incorrect, incomplete, or hallucinated information.
+
+Model outputs should be verified before being used in safety-critical, legal, financial, or medical applications.
+
+Performance may also vary significantly depending on the inference framework, hardware, quantization method, prompt format, and deployment configuration.
+
+# Developed by:
+
+**Neura Tech AI**
+
+Neuron is part of Neura Tech AI's ongoing research into efficient large-scale language models and sparse Mixture-of-Experts architectures.
+
+# License
+
+**Neuron-46x4B-Instruct** is released under the **Apache-2.0 License**.
+
+Please review the license terms and the licenses of all upstream components before using the model in your application.
+
+---
+Neuron-46x4B-Instruct — Large capacity. Sparse activation. Specialized intelligence.
+
+# © 2026 Neura Tech AI