NVIDIA Nemotron Nano 9B V2 4bits is an open-source language model by mlx-community. Features: 9b LLM, VRAM: 5GB, Context: 128K, License: other.
Base model:finetune:nvidia/nvi... Base model:nvidia/nvidia-nemot... Conversational Dataset:nvidia/nemotron-cc-mat... Dataset:nvidia/nemotron-cc-v2 Dataset:nvidia/nemotron-post-t... Dataset:nvidia/nemotron-post-t... Dataset:nvidia/nemotron-pretra... Dataset:nvidia/nemotron-pretra... De En Es Fr It Ja Mlx Nvidia Pytorch Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/mlx-community/NVIDIA-Nemotron-Nano-9B-v2-4bits
NVIDIA Nemotron Nano 9B V2 4bits Parameters and Internals
| LLM Name | NVIDIA Nemotron Nano 9B V2 4bits |
| Repository 🤗 | https://huggingface.co/mlx-community/NVIDIA-Nemotron-Nano-9B-v2-4bits |
| Base Model(s) | |
| Model Size | 9b |
| Required VRAM | 5 GB |
| Updated | 2026-03-27 |
| Maintainer | mlx-community |
| Model Type | nemotron_h |
| Model Files | |
| Supported Languages | en es fr de it ja |
| Model Architecture | NemotronHForCausalLM |
| License | other |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.51.3 |
| Tokenizer Class | PreTrainedTokenizer |
| Vocabulary Size | 131072 |
| Torch Data Type | bfloat16 |
Best Alternatives to NVIDIA Nemotron Nano 9B V2 4bits
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| NVIDIA Nemotron 3 Nano 4B BF16 | 256K / 8 GB | 39185 | 61 |
| ...VIDIA Nemotron Nano 9B V2 Base | 128K / 17.7 GB | 151619 | 43 |
| NVIDIA Nemotron Nano 9B V2 FP8 | 128K / 10.3 GB | 79294 | 7 |
| NVIDIA Nemotron Nano 9B V2 | 128K / 17.7 GB | 165 | 3 |
| ...A Nemotron Nano 9B V2 Japanese | 128K / 17.8 GB | 550565 | 131 |
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/NVIDIA-Nemotron-Nano-9B-v2-4bits .
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260327b