Nemotron H 47B Reasoning 128K FP8 by nvidia

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Nemotron H 47B Reasoning 128K FP8 is an open-source language model by nvidia. Features: 47b LLM, VRAM: 49.1GB, Context: 128K, License: other, LLM Explorer Score: 0.22.

  Arxiv:2504.03624   Arxiv:2505.00949   Conversational   En   Endpoints compatible   Nvidia   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

Nemotron H 47B Reasoning 128K FP8 Benchmarks

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

Nemotron H 47B Reasoning 128K FP8 Parameters and Internals

LLM NameNemotron H 47B Reasoning 128K FP8
Repository 🤗https://huggingface.co/nvidia/Nemotron-H-47B-Reasoning-128K-FP8 
Model Size47b
Required VRAM49.1 GB
Updated2026-04-06
Maintainernvidia
Model Typenemotron_h
Model Files  5.0 GB: 1-of-11   4.7 GB: 2-of-11   4.9 GB: 3-of-11   4.7 GB: 4-of-11   4.9 GB: 5-of-11   4.9 GB: 6-of-11   4.9 GB: 7-of-11   5.0 GB: 8-of-11   4.9 GB: 9-of-11   3.1 GB: 10-of-11   2.1 GB: 11-of-11
Supported Languagesen
Model ArchitectureNemotronHForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.51.3
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size131072
Torch Data Typebfloat16

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Nemotron H 47B Reasoning 128K128K / 93.5 GB279722
Note: green Score (e.g. "73.2") means that the model is better than nvidia/Nemotron-H-47B-Reasoning-128K-FP8.

Rank the Nemotron H 47B Reasoning 128K FP8 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 v20260328a