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OpenReasoning Nemotron 7B by nvidia

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  Arxiv:2504.01943   Arxiv:2504.16891   Arxiv:2507.09075   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins...   Code   Conversational   En   Endpoints compatible   Instruct   Nvidia   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nvidia/OpenReasoning-Nemotron-7B 

OpenReasoning Nemotron 7B Benchmarks

LLME Score: 0.30441
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OpenReasoning Nemotron 7B (nvidia/OpenReasoning-Nemotron-7B)
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OpenReasoning Nemotron 7B Parameters and Internals

LLM NameOpenReasoning Nemotron 7B
Repository 🤗https://huggingface.co/nvidia/OpenReasoning-Nemotron-7B 
Base Model(s)  Qwen/Qwen2.5-7B-Instruct   Qwen/Qwen2.5-7B-Instruct
Model Size7b
Required VRAM15.2 GB
Updated2025-07-19
Maintainernvidia
Model Typeqwen2
Instruction-BasedYes
Model Files  10.0 GB: 1-of-2   5.2 GB: 2-of-2
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licensecc-by-4.0
Context Length131072
Model Max Length131072
Transformers Version4.47.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than nvidia/OpenReasoning-Nemotron-7B.

Rank the OpenReasoning Nemotron 7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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