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