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Model Card on HF 🤗: https://huggingface.co/nvidia/NVIDIA-Nemotron-Nano-9B-v2-Base
NVIDIA Nemotron Nano 9B V2 Base Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
NVIDIA Nemotron Nano 9B V2 Base Parameters and Internals
| LLM Name | NVIDIA Nemotron Nano 9B V2 Base |
| Repository 🤗 | https://huggingface.co/nvidia/NVIDIA-Nemotron-Nano-9B-v2-Base |
| Model Size | 9b |
| Required VRAM | 17.7 GB |
| Updated | 2025-08-19 |
| Maintainer | nvidia |
| Model Type | nemotron_h |
| Model Files | |
| Supported Languages | en es fr de ja it pt zh ar da ko nl pl ru sv th |
| Model Architecture | NemotronHForCausalLM |
| License | other |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.53.2 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Vocabulary Size | 131072 |
| Torch Data Type | bfloat16 |
Rank the NVIDIA Nemotron Nano 9B V2 Base Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124