AceReason Nemotron 1.1 7B by nvidia

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  Arxiv:2506.13284   Autotrain compatible   Code   Conversational   En   Endpoints compatible   Math   Nvidia   Pytorch   Qwen2   Reasoning   Region:us   Reinforcement learning   Safetensors   Sharded   Supervised fine-tuning   Tensorflow

AceReason Nemotron 1.1 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
AceReason Nemotron 1.1 7B (nvidia/AceReason-Nemotron-1.1-7B)
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AceReason Nemotron 1.1 7B Parameters and Internals

LLM NameAceReason Nemotron 1.1 7B
Repository ๐Ÿค—https://huggingface.co/nvidia/AceReason-Nemotron-1.1-7B 
Model Size7b
Required VRAM15.2 GB
Updated2025-06-17
Maintainernvidia
Model Typeqwen2
Model Files  4.0 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   1.3 GB: 4-of-4
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.48.2
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/AceReason-Nemotron-1.1-7B.

Rank the AceReason Nemotron 1.1 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124