NFT 7B by nvidia

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  Arxiv:2505.18116   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-math-7...   Conversational Dataset:bytedtsinghua-sia/dapo...   En   Endpoints compatible   Math   Nvidia   Post-training   Qwen   Qwen2   Reasoning   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/nvidia/NFT-7B 

NFT 7B Benchmarks

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

LLM NameNFT 7B
Repository ๐Ÿค—https://huggingface.co/nvidia/NFT-7B 
Base Model(s)  Qwen/Qwen2.5-Math-7B   Qwen/Qwen2.5-Math-7B
Model Size7b
Required VRAM15.2 GB
Updated2025-07-19
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 Length4096
Model Max Length4096
Transformers Version4.49.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Hush Qwen2.5 7B Preview986K / 15.2 GB50
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Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB42
Qwen 2.5 7B Exp Sce986K / 15.2 GB22
Note: green Score (e.g. "73.2") means that the model is better than nvidia/NFT-7B.

Rank the NFT 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