OpenMath Nemotron 7B by nvidia

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  Arxiv:2504.16891   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-math-7...   Conversational Dataset:nvidia/openmathreasoni...   En   Endpoints compatible   Math   Nvidia   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

OpenMath Nemotron 7B Benchmarks

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

OpenMath Nemotron 7B Parameters and Internals

LLM NameOpenMath Nemotron 7B
Repository ๐Ÿค—https://huggingface.co/nvidia/OpenMath-Nemotron-7B 
Base Model(s)  Qwen/Qwen2.5-Math-7B   Qwen/Qwen2.5-Math-7B
Model Size7b
Required VRAM15.2 GB
Updated2025-05-17
Maintainernvidia
Model Typeqwen2
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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Hush Qwen2.5 7B V1.4986K / 15.2 GB61
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Qwen2.5 7B RRP 1M986K / 15.2 GB846
Qwen2.5 7B Preview986K / 15.2 GB60
Qwen 2.5 7B Exp Sce986K / 15.2 GB62
Note: green Score (e.g. "73.2") means that the model is better than nvidia/OpenMath-Nemotron-7B.

Rank the OpenMath Nemotron 7B Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227