| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: Qwen/Qwen3-4B-Instruct-2507 |
| pipeline_tag: text-generation |
| language: |
| - en |
| - hi |
| - zh |
| - ja |
| - ko |
| - fr |
| - de |
| - es |
| - it |
| - pt |
| - ru |
| - ar |
| - tr |
| - vi |
| - th |
| - id |
| - ms |
| - bn |
| - ta |
| - te |
| - mr |
| - gu |
| - pa |
| - ur |
| - fa |
| tags: |
| - Neura Tech AI |
| - neuron |
| - instruct |
| - llm |
| - transformer |
| - qwen |
| - multilingual |
| - conversational |
| - coding |
| new_version: Neura-Tech-AI/Neuron-V2-4B-Instruct |
| --- |
| |
| # Neuron-V2-4B-Instruct |
|
|
| > A multilingual instruction-tuned large language model developed by **Neura Tech AI**. |
|
|
| --- |
|
|
| # Overview |
|
|
| **Neuron-V2-4B-Instruct** is an instruction-tuned language model built on top of **Qwen/Qwen3-4B-Instruct-2507**. |
|
|
| The goal of Neuron is to provide a powerful open-source AI assistant capable of natural conversations, coding assistance, reasoning, multilingual understanding, and long-context processing. |
|
|
| --- |
|
|
| # Developer |
|
|
| **Developed by** |
|
|
| - Neura Tech AI |
|
|
| --- |
|
|
| # Base Model |
|
|
| **Base Model** |
|
|
| Qwen/Qwen3-4B-Instruct-2507 |
|
|
| We sincerely thank the Qwen Team for releasing the Qwen3 model family under the Apache 2.0 License. |
|
|
| --- |
|
|
| # Model Details |
|
|
| - **Model Name:** Neuron-V2-4B-Instruct |
| - **Developer:** Neura Tech AI |
| - **Base Model:** Qwen/Qwen3-4B-Instruct-2507 |
| - **Architecture:** Transformer Decoder |
| - **Parameters:** ~4 Billion |
| - **Context Length:** 262,144 Tokens (Inherited from the base model) |
| - **License:** Apache-2.0 |
|
|
| --- |
|
|
| # Features |
|
|
| - Instruction Following |
| - Chat Assistant |
| - Coding Assistance |
| - Mathematical Reasoning |
| - Logical Reasoning |
| - Long Context Support |
| - Tool Calling Support |
| - Multilingual Understanding |
| - Creative Writing |
| - General Knowledge |
| - Open-source |
|
|
| --- |
|
|
| # Supported Languages |
|
|
| Neuron inherits multilingual capabilities from the Qwen3 base model and supports many languages, including: |
|
|
| - English |
| - Hindi |
| - Chinese |
| - Japanese |
| - Korean |
| - French |
| - German |
| - Spanish |
| - Italian |
| - Portuguese |
| - Russian |
| - Arabic |
| - Turkish |
| - Vietnamese |
| - Thai |
| - Indonesian |
| - Malay |
| - Bengali |
| - Tamil |
| - Telugu |
| - Marathi |
| - Gujarati |
| - Punjabi |
| - Urdu |
| - Persian (Farsi) |
|
|
| and many more. |
|
|
| --- |
|
|
| # Benchmark Results |
|
|
| | | GPT-4.1-nano-2025-04-14 | Qwen3-30B-A3B Non-Thinking | Qwen3-4B Non-Thinking | Neuron-V2-4B-Instruct | |
| |--- | --- | --- | --- | --- | |
| | **Knowledge** | | | | |
| | MMLU-Pro | 62.8 | 69.1 | 58.0 | **69.6** | |
| | MMLU-Redux | 80.2 | 84.1 | 77.3 | **84.2** | |
| | GPQA | 50.3 | 54.8 | 41.7 | **62.0** | |
| | SuperGPQA | 32.2 | 42.2 | 32.0 | **42.8** | |
| | **Reasoning** | | | | |
| | AIME25 | 22.7 | 21.6 | 19.1 | **47.4** | |
| | HMMT25 | 9.7 | 12.0 | 12.1 | **31.0** | |
| | ZebraLogic | 14.8 | 33.2 | 35.2 | **80.2** | |
| | LiveBench 20241125 | 41.5 | 59.4 | 48.4 | **63.0** | |
| | **Coding** | | | | |
| | LiveCodeBench v6 (25.02-25.05) | 31.5 | 29.0 | 26.4 | **35.1** | |
| | MultiPL-E | 76.3 | 74.6 | 66.6 | **76.8** | |
| | Aider-Polyglot | 9.8 | **24.4** | 13.8 | 12.9 | |
| | **Alignment** | | | | |
| | IFEval | 74.5 | **83.7** | 81.2 | 83.4 | |
| | Arena-Hard v2* | 15.9 | 24.8 | 9.5 | **43.4** | |
| | Creative Writing v3 | 72.7 | 68.1 | 53.6 | **83.5** | |
| | WritingBench | 66.9 | 72.2 | 68.5 | **83.4** | |
| | **Agent** | | | | |
| | BFCL-v3 | 53.0 | 58.6 | 57.6 | **61.9** | |
| | TAU1-Retail | 23.5 | 38.3 | 24.3 | **48.7** | |
| | TAU1-Airline | 14.0 | 18.0 | 16.0 | **32.0** | |
| | TAU2-Retail | - | 31.6 | 28.1 | **40.4** | |
| | TAU2-Airline | - | 18.0 | 12.0 | **24.0** | |
| | TAU2-Telecom | - | **18.4** | 17.5 | 13.2 | |
| | **Multilingualism** | | | | |
| | MultiIF | 60.7 | **70.8** | 61.3 | 69.0 | |
| | MMLU-ProX | 56.2 | **65.1** | 49.6 | 61.6 | |
| | INCLUDE | 58.6 | **67.8** | 53.8 | 60.1 | |
| | PolyMATH | 15.6 | 23.3 | 16.6 | **31.1** | |
|
|
| *: For reproducibility, we report the win rates evaluated by GPT-4.1. |
| |
| --- |
| |
| # Intended Use |
| |
| **Neuron-V2-4B-Instruct** is suitable for: |
| |
| - AI Assistants |
| - Chatbots |
| - Coding |
| - Education |
| - Research |
| - Content Writing |
| - Translation |
| - Reasoning Tasks |
| - Tool Calling |
| - General NLP Applications |
| |
| --- |
| |
| # License |
| |
| This model is released under the **Apache-2.0 License** inherited from the base model. |
| |
| Please also comply with the Qwen model license and usage guidelines. |
| |
| --- |
| |
| # Acknowledgements |
| |
| This project is built upon the excellent **Qwen3 model family** released by the **Qwen Team**. |
| |
| We sincerely thank the **Qwen Team** and the open-source AI community for making this project possible. |
| |
| --- |
| |
| # © 2026 Neura Tech AI. All rights reserved. |
