nvidia/Nemotron-Pretraining-SFT-v1
Nemotron-Pre-Training-Dataset-v1 Release Data Overview This pretraining dataset, for generative AI model training, preserves high-value math and code while enriching it with diverse multilingual Q&A, fueling the next generation of intelligent, globally-capable models. This dataset supports NVIDIA Nemotron Nano 2, a family of large language models (LLMs) that consists of the NVIDIA-Nemotron-Nano-9B-v2, NVIDIA-Nemotron-Nano-9B-v2-Base, and… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-Pretraining-SFT-v1.
| Author / organization | nvidia |
|---|---|
| License (as declared) | other |
| Downloads | 2.6K (as reported by Hugging Face) |
| Likes | 74 |
| Created | 14 August 2025 |
| Last updated at source | 23 December 2025 |
Popularity, last 3 days
2,647 now (-154 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- lmstudio-community/NVIDIA-Nemotron-3-Nano-30B-A3B-MLX-8bitModel · used to train
- mradermacher/Marco-Mini-Base-i1-GGUFModel · used to train
- minjaechoi/nemotron3-nano-30b-a3b-2p03bit-r22Model · used to train
- mradermacher/smallcoder-303m-GGUFModel · used to train
- mradermacher/openNemo-9B-GGUFModel · used to train
- mlx-community/NVIDIA-Nemotron-3-Nano-30B-A3B-MLX-MXFP4Model · used to train
- empero-ai/openNemo-9BModel · used to train
- QuantFactory/NVIDIA-Nemotron-Nano-12B-v2-GGUFModel · used to train
- mradermacher/openNemo-9B-abliterated-GGUFModel · used to train
- mradermacher/Marco-Nano-Base-GGUFModel · used to train
- mlx-community/NVIDIA-Nemotron-3-Nano-30B-A3B-MLX-4BitModel · used to train
- Mungert/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16-GGUFModel · used to train
- mlx-community/NVIDIA-Nemotron-Nano-9B-v2-6bitModel · used to train
- lmstudio-community/NVIDIA-Nemotron-3-Nano-30B-A3B-MLX-6bitModel · used to train
- mradermacher/Nemotron-Nano-9B-v2-heretic-GGUFModel · used to train
- kogai/laneformer-2b-itModel · used to train
- mradermacher/Marco-Mini-Base-GGUFModel · used to train
- mradermacher/Marco-Nano-Base-i1-GGUFModel · used to train
- lmstudio-community/NVIDIA-Nemotron-3-Nano-30B-A3B-MLX-5bitModel · used to train
- cyankiwi/NVIDIA-Nemotron-Nano-9B-v2-AWQ-4bitModel · used to train
- mlx-community/NVIDIA-Nemotron-3-Nano-30B-A3B-NVFP4Model · used to train
- mlx-community/NVIDIA-Nemotron-3-Nano-30B-A3B-OptiQ-4bitModel · used to train
- unsloth/NVIDIA-Nemotron-Nano-9B-v2Model · used to train
- mradermacher/openNemo-9B-abliterated-i1-GGUFModel · used to train
- stelterlab/NVIDIA-Nemotron-3-Nano-30B-A3B-AWQModel · used to train
- mradermacher/CDLM-0.5B-GGUFModel · used to train
- mradermacher/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16-heretic-i1-GGUFModel · used to train
- mlx-community/NVIDIA-Nemotron-3-Nano-30B-A3B-MLX-8BitModel · used to train
- RedHatAI/NVIDIA-Nemotron-3-Nano-30B-A3B-FP8Model · used to train
- nvidia/NVIDIA-Nemotron-Nano-12B-v2-BaseModel · used to train
- nvidia/NVIDIA-Nemotron-Nano-9B-v2Model · used to train
- mradermacher/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16-GGUFModel · used to train
- mradermacher/openNemo-9B-i1-GGUFModel · used to train
- mradermacher/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16-heretic-GGUFModel · used to train
- Mungert/NVIDIA-Nemotron-Nano-12B-v2-GGUFModel · used to train
- empero-ai/openNemo-9B-abliteratedModel · used to train
- lmstudio-community/NVIDIA-Nemotron-3-Nano-30B-A3B-MLX-4bitModel · used to train
- nvidia/NVIDIA-Nemotron-Nano-9B-v2-BaseModel · used to train
- mradermacher/nemotron-nano-30b-a3b-clinical-instruct-GGUFModel · used to train
- bartowski/nvidia_Nemotron-3-Nano-30B-A3B-GGUFModel · used to train
Recent changes
- 17 Oct 2026 Description: Nemotron-Pre-Training-Dataset-v1 Release Data Overview This pretraining dataset, for generative AI model training, preserves high-value math and code while enriching it with diverse multilingual Q&A, fueling the next generation of intellige → Nemotron-Pre-Training-Dataset-v1 Release Data Overview This pretraining dataset, for generative AI model training, preserves high-value math and code while enriching it with diverse multilingual Q&A, fueling the next generation of intellige
Changes detected by Silytics between refreshes of the source.
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