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AceReason Nemotron 7B by nvidia

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Model Card on HF 🤗: https://huggingface.co/nvidia/AceReason-Nemotron-7B 

AceReason Nemotron 7B Benchmarks

LLME Score: 0.3757
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
AceReason Nemotron 7B (nvidia/AceReason-Nemotron-7B)

AceReason Nemotron 7B Parameters and Internals

LLM NameAceReason Nemotron 7B
Repository 🤗https://huggingface.co/nvidia/AceReason-Nemotron-7B 
Model Size7b
Required VRAM15.2 GB
Updated2025-06-01
Maintainernvidia
Model Typeqwen2
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.49.0
Tokenizer ClassLlamaTokenizerFast
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size152064
Torch Data Typebfloat16

Best Alternatives to AceReason Nemotron 7B

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Instruct 1M986K / 15.4 GB2113335328
Hush Qwen2.5 7B Preview986K / 15.2 GB960
Qwen2.5 7B RRP 1M986K / 15.2 GB2216
Hush Qwen2.5 7B V1.2986K / 15.2 GB81
Hush Qwen2.5 7B V1.1986K / 15.2 GB81
Hush Qwen2.5 7B V1.4986K / 15.2 GB81
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB422
Hush Qwen2.5 7B V1.3986K / 15.2 GB82
Qwen2.5 7B Preview986K / 15.2 GB80
Qwen 2.5 7B Exp Sce986K / 15.2 GB102
Note: green Score (e.g. "73.2") means that the model is better than nvidia/AceReason-Nemotron-7B.

Rank the AceReason 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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Release v20241227
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