Neuron-4B-Instruct
A multilingual instruction-tuned large language model developed by Neura Tech AI.
Overview
Neuron-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-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-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-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.