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README.md
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# Helion-V2
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<div align="center">
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**A State-of-the-Art 7.2B Parameter Language Model for Daily Use**
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-
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[](https://opensource.org/licenses/Apache-2.0)
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[](https://www.python.org/downloads/)
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[](https://github.com/huggingface/transformers)
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@@ -584,7 +683,7 @@ If you use Helion-V2 in your research or applications, please cite:
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@misc{helion-v2-2024,
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title={Helion-V2: An Efficient and Truthful Large Language Model for Daily Use},
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author={DeepXR Team},
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year={
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month={November},
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publisher={HuggingFace},
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url={https://huggingface.co/DeepXR/Helion-V2},
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@@ -595,11 +694,11 @@ If you use Helion-V2 in your research or applications, please cite:
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For technical details:
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```bibtex
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@techreport{helion-v2-technical-
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title={Helion-V2: Technical Report},
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author={DeepXR Research Team},
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institution={DeepXR},
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year={
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type={Technical Report},
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url={https://deepxr.ai/research/helion-v2-technical-report.pdf}
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}
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@@ -641,18 +740,6 @@ Special thanks to researchers whose work influenced this project: LLaMA, Mistral
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---
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## Contact and Support
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- **Issues**: [GitHub Issues](https://github.com/DeepXR/Helion-V2/issues)
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- **Discussions**: [GitHub Discussions](https://github.com/DeepXR/Helion-V2/discussions)
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- **Email**: contact@deepxr.ai
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- **Twitter**: @DeepXR_AI
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- **Discord**: [DeepXR Community](https://discord.gg/deepxr)
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- **Documentation**: [docs.deepxr.ai/helion-v2](https://docs.deepxr.ai/helion-v2)
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For commercial licensing, enterprise support, or custom fine-tuning services, contact: enterprise@deepxr.ai
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---
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<div align="center">
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---
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language:
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- en
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- es
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- fr
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- de
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- it
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- pt
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- nl
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- ru
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- zh
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- ja
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- ko
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- ar
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- hi
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license: apache-2.0
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library_name: transformers
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tags:
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- text-generation
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- conversational
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- code
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- instruction-following
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- pytorch
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- causal-lm
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- llm
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- reasoning
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- multilingual
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pipeline_tag: text-generation
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widget:
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- text: "def fibonacci(n):"
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example_title: Code Generation
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- text: "Explain quantum entanglement in simple terms:"
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example_title: Science Explanation
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- text: "Write a short story about a robot learning to paint:"
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example_title: Creative Writing
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model-index:
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- name: Helion-V2
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU
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type: cais/mmlu
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metrics:
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- type: accuracy
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value: 64.2
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name: Accuracy
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- task:
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type: text-generation
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name: Code Generation
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dataset:
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name: HumanEval
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type: openai_humaneval
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metrics:
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- type: pass@1
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value: 48.2
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name: Pass@1
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- task:
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type: text-generation
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name: Commonsense Reasoning
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dataset:
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name: HellaSwag
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type: hellaswag
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metrics:
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- type: acc_norm
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value: 80.5
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name: Accuracy
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- task:
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type: text-generation
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name: Truthfulness
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dataset:
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name: TruthfulQA
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type: truthful_qa
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metrics:
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- type: mc2
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value: 52.1
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name: MC2
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- task:
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type: text-generation
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name: Math Reasoning
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dataset:
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name: GSM8K
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type: gsm8k
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metrics:
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- type: accuracy
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value: 68.7
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name: Accuracy
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- task:
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type: text-generation
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name: Question Answering
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dataset:
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name: ARC Challenge
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type: ai2_arc
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metrics:
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- type: acc_norm
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value: 58.3
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name: Accuracy
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---
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# Helion-V2
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<div align="center">
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**A State-of-the-Art 7.2B Parameter Language Model for Daily Use**
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|
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[](https://opensource.org/licenses/Apache-2.0)
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[](https://www.python.org/downloads/)
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| 117 |
[](https://github.com/huggingface/transformers)
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@misc{helion-v2-2024,
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title={Helion-V2: An Efficient and Truthful Large Language Model for Daily Use},
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author={DeepXR Team},
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year={2025},
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month={November},
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publisher={HuggingFace},
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url={https://huggingface.co/DeepXR/Helion-V2},
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For technical details:
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```bibtex
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+
@techreport{helion-v2-technical-2025,
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title={Helion-V2: Technical Report},
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author={DeepXR Research Team},
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institution={DeepXR},
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+
year={2025},
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type={Technical Report},
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url={https://deepxr.ai/research/helion-v2-technical-report.pdf}
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}
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---
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| 744 |
<div align="center">
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