README.md

---
language:
- en
- hi
tags:
- neuron
- neura-tech
- 14B
- text-generation
- qwen2
- neural-networks
license: apache-2.0
datasets:
- custom-neura-tech-data
metrics:
- accuracy
---

# 🧠 Neuron-14B: The Official Intelligence of Neura Tech

**Neuron-14B** is a high-performance Large Language Model (LLM) developed by **Neura Tech**. It serves as the flagship model for advanced reasoning, creative synthesis, and multilingual communication.

---

## 🏢 Organization Identity
* **Company**: Neura Tech
* **Project Name**: Neuron
* **Lead Architect**: Anandnrnnffn

## 📊 Model Specifications
* **Architecture**: Optimized Transformer (Fine-tuned from Qwen2)
* **Parameters**: ~15 Billion
* **Precision**: BF16 (Bfloat16)
* **Context Window**: 131,072 tokens
* **License**: Apache-2.0 (Open Source)

## 🎯 Core Capabilities
* **Advanced Reasoning**: Capable of solving complex logical and mathematical queries.
* **Multilingual Proficiency**: Highly optimized for English and Hindi (including Hinglish).
* **Instruction Following**: Specifically tuned to follow complex user prompts with high precision.
* **Creative Synthesis**: Exceptional at generating scripts, stories, and technical documentation.
  
## 📜 License & Usage
This model is licensed under the Apache-2.0 License. This means you are free to use, modify, and distribute this model, provided that you credit Neura Tech as the original creator.

## 🛠️ Quick Start (Python)
To use **Neuron-14B**, load it via the Hugging Face `transformers` library:

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "Anandnrnnffn/Neura-Tech-14B-Weights"

# Load Neuron-14B Tokenizer
tokenizer = AutoTokenizer.from_pretrained(model_id)

# Load Model Weights
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    device_map="auto",
    torch_dtype="auto"
)
```

## © 2026 Neura Tech. All Rights Reserved.