NVIDIA Nemotron Nano 9B V2 Japanese is an open-source language model by nvidia. Features: 9b LLM, VRAM: 17.8GB, Context: 128K, License: other, Instruction-Based, LLM Explorer Score: 0.43.
Arxiv:2504.03624 Arxiv:2508.14444 Base model:finetune:nvidia/nvi... Base model:nvidia/nvidia-nemot... Conversational Custom code Dataset:globis-university/aozo... Dataset:huggingfacefw/fineweb-... Dataset:nvidia/nemotron-agenti... Dataset:nvidia/nemotron-cc-v2.... Dataset:nvidia/nemotron-instru... Dataset:nvidia/nemotron-person... Dataset:nvidia/nemotron-pretra... En Endpoints compatible Instruct Ja Nemotron h Nvidia Pytorch Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/nvidia/NVIDIA-Nemotron-Nano-9B-v2-Japanese
NVIDIA Nemotron Nano 9B V2 Japanese 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 Japanese Parameters and Internals
| LLM Name | NVIDIA Nemotron Nano 9B V2 Japanese |
| Repository 🤗 | https://huggingface.co/nvidia/NVIDIA-Nemotron-Nano-9B-v2-Japanese |
| Base Model(s) | |
| Model Size | 9b |
| Required VRAM | 17.8 GB |
| Updated | 2026-04-13 |
| Maintainer | nvidia |
| Model Type | nemotron_h |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en ja |
| Model Architecture | NemotronHForCausalLM |
| License | other |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.57.3 |
| Tokenizer Class | PreTrainedTokenizer |
| Vocabulary Size | 131072 |
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a