| --- |
| language: |
| - en |
| - hi |
| - zh |
| - es |
| - fr |
| - de |
| - ar |
| - ja |
| - ko |
| - pt |
| - ru |
| - it |
| - tr |
| - id |
| - vi |
| - th |
| - pl |
| - nl |
| - sv |
| - da |
| - no |
| - fi |
| - cs |
| - ro |
| - hu |
| - el |
| - he |
| - fa |
| - ur |
| - bn |
| - ta |
| - te |
| - mr |
| - gu |
| - pa |
| - ml |
| - kn |
| - uk |
| - bg |
| - sr |
| - hr |
| - sk |
| - sl |
| - ms |
| - tl |
| - sw |
| - af |
| tags: |
| - neuron |
| - neura-tech-ai |
| - 27B |
| - text-generation |
| - qwen3 |
| - conversational |
| - reasoning |
| license: apache-2.0 |
| base_model: |
| - Qwen/Qwen3.8-27B |
| pipeline_tag: text-generation |
| library_name: transformers |
| --- |
| |
| # 🧠 Neuron-27B-Thinking: The Official Intelligence of Neura Tech AI |
|
|
| **Neuron-27B-Thinking** is a high-performance Large Language Model (LLM) developed by **Neura Tech AI**. It is engineered as a powerful reasoning-focused assistant with strong multilingual capabilities and native thinking support. |
|
|
| --- |
|
|
| ## 🏢 Organization Identity |
|
|
| * **Company**: Neura Tech AI |
| * **Project Name**: Neuron-27B-Thinking |
|
|
| ## 📊 Model Specifications |
|
|
| * **Architecture**: Causal Language Model (Optimized from Qwen3-27B) |
| * **Parameters**: \~27 Billion |
| * **Precision**: BF16 (Bfloat16) |
| * **Context Window**: 262K tokens |
| * **Format**: ChatML Compatible with native thinking tags |
| * **License**: Apache-2.0 |
|
|
| ## 🎯 Core Capabilities |
|
|
| * **Advanced Reasoning**: Strong performance on complex logical, mathematical, and multi-step problems. |
| * **Native Thinking Mode**: Supports structured reasoning with `<think>` blocks for transparent thought process. |
| * **Multilingual Proficiency**: Highly optimized for English, Hindi, Chinese, Spanish, French, German, Arabic, Japanese, Korean, Portuguese, Russian, etc. |
| * **Instruction Following**: Precise adherence to complex user instructions. |
| * **Creative Synthesis**: Excellent at generating technical content, explanations, and structured outputs. |
|
|
| ## 🛠️ Quick Start (Python) |
|
|
| ```python |
| from transformers import AutoModelForCausalLM, AutoTokenizer |
| import torch |
| |
| model_id = "Neura-Tech-AI/Neuron-27B-Thinking" |
| |
| tokenizer = AutoTokenizer.from_pretrained(model_id) |
| model = AutoModelForCausalLM.from_pretrained( |
| model_id, |
| torch_dtype=torch.bfloat16, |
| device_map="auto" |
| ) |
| |
| messages = [ |
| {"role": "user", "content": "Who are you?"} |
| ] |
| |
| inputs = tokenizer.apply_chat_template( |
| messages, |
| tokenize=True, |
| add_generation_prompt=True, |
| return_tensors="pt" |
| ).to(model.device) |
| |
| outputs = model.generate( |
| inputs, |
| max_new_tokens=512, |
| temperature=0.7, |
| top_p=0.9, |
| do_sample=True |
| ) |
| |
| print(tokenizer.decode(outputs[0][inputs.shape[-1]:], skip_special_tokens=True)) |
| ``` |
| ## 📜 License |
|
|
| This model is released under the **Apache-2.0 License**. You are free to use, modify, and distribute it, provided you credit **Neura Tech AI** as the original developer. |
| Base model weights are derived from the **Qwen3.8 family**. Please respect the original Qwen license terms where applicable. |
|
|
| --- |
|
|
| # © 2026 Neura Tech AI. All rights reserved. |
