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OpenCodeReasoning Nemotron 32B by nvidia

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  Arxiv:2504.01943   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-32b-in...   Code   Conversational Dataset:nvidia/opencodereasoni...   En   Endpoints compatible   Instruct   Nvidia   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nvidia/OpenCodeReasoning-Nemotron-32B 

OpenCodeReasoning Nemotron 32B Benchmarks

LLME Score: 0.32828
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OpenCodeReasoning Nemotron 32B (nvidia/OpenCodeReasoning-Nemotron-32B)

OpenCodeReasoning Nemotron 32B Parameters and Internals

LLM NameOpenCodeReasoning Nemotron 32B
Repository 🤗https://huggingface.co/nvidia/OpenCodeReasoning-Nemotron-32B 
Base Model(s)  Qwen/Qwen2.5-32B-Instruct   Qwen/Qwen2.5-32B-Instruct
Model Size32b
Required VRAM65.8 GB
Updated2025-06-01
Maintainernvidia
Model Typeqwen2
Instruction-BasedYes
Model Files  9.8 GB: 1-of-7   9.8 GB: 2-of-7   9.8 GB: 3-of-7   9.8 GB: 4-of-7   9.8 GB: 5-of-7   9.8 GB: 6-of-7   7.0 GB: 7-of-7
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
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/OpenCodeReasoning-Nemotron-32B.

Rank the OpenCodeReasoning Nemotron 32B 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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Release v20241227
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