Model release

NVIDIA Nemotron 3 Super 120B-A12B

NVIDIA Nemotron 3 Super 120B-A12B is an open-weight model release in the NVIDIA Nemotron family from NVIDIA1, version 3 Super (120B-A12B), v1.0, released Mar 11, 2026. Its weights can be downloaded by the public1 5 2 under the NVIDIA Nemotron Open Model License1 3.

Nemotron 3 Super is an NVIDIA language model with 120B total and 12B active parameters, using a hybrid Mamba-2 and attention architecture with latent mixture-of-experts layers and multi-token prediction, and configurable reasoning. NVIDIA released BF16, FP8, and NVFP4 checkpoints and a separate base checkpoint on Hugging Face.1 5

Model hub: Model card (BF16) (external site: huggingface.co)
License: NVIDIA Nemotron Open Model License (external site: nvidia.com)
Documentation: Nemotron 3 Super training recipe (external site: github.com)

On AI on Hugging Face: nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16

Last reviewedSep 29, 2026Entry updated Oct 2, 2026Documented release Mar 11, 2026

Availability and license

Overall availability

Public

Weights are downloadable from Hugging Face under the NVIDIA Nemotron Open Model License; the repository metadata showed no access gate when checked. The NIM container version is covered by separate NVIDIA software license terms.1 2

Availability fact review: not separately recorded

Availability is separate from permission: read the license before using or redistributing.

NVIDIA Nemotron Open Model License (external site: nvidia.com)1 3
Applies to: Weights · custom license (no SPDX identifier) · fact-level rights review not recorded
Apache License 2.0 (Nemotron Developer Repository training recipes) (external site: raw.githubusercontent.com)4
Applies to: Code · SPDX Apache-2.0 · on the rubric’s OSI-approved software-license list · fact-level rights review not recorded
Plain-language guide to the Apache License 2.0

The NVIDIA Nemotron Open Model License (version dated December 15, 2025) is NVIDIA's own license. It grants a perpetual, worldwide, royalty-free license to reproduce, modify, and distribute the model and derivatives, and states that the works are commercially usable and that NVIDIA claims no ownership of outputs. Redistributors must pass on a copy of the license and keep attribution notices, including a specified NVIDIA attribution statement when a NOTICE file is present. The license ends for anyone who brings patent or copyright litigation claiming the work or its outputs infringe. It also requires users to indemnify NVIDIA against third-party claims arising from their use or distribution, requires compliance with export and sanctions laws, and is governed by U.S. and Delaware law.3

Component reuse rights

A readable or downloadable component is not automatically reusable. These indicators concern recorded license evidence, not system certification.

weights: Unknown — no complete fact-level rights review
code: Unknown — no complete fact-level rights review
data: Unknown — no complete fact-level rights review
documentation: Unknown — no complete fact-level rights review

No complete system-rights review is recorded for this release.

Model-disclosure tier

Computed from the checklist below using USASI rubric v0.2. An editorial category, not a certification.

Open-weight

The model parameters for this release can be downloaded by the public. License terms may still restrict use, redistribution, or commercial use.

The weights are under a license that is not on the rubric's OSI-approved list. Read its terms before use.

How tiers are computed

Public materials checklist

Items for a model under USASI rubric v0.2. Unknown means unassessed or insufficient evidence.

Public materials checklist for NVIDIA Nemotron 3 Super 120B-A12B
Item	Status	Notes and evidence
WeightsCan the general public download the model parameters for this release?	Public	BF16, FP8, and NVFP4 post-trained checkpoints and a BF16 base checkpoint are published on Hugging Face.1 5 2
Inference codeIs code for running the model published?	Public	The model card gives deployment instructions for vLLM, SGLang, TensorRT-LLM, and Transformers.1
Training codeIs the code used to train the model published?	Public	The Apache-2.0 Nemotron Developer Repository provides pretraining, SFT, RL, and evaluation stages built on Megatron-Bridge, NeMo RL, and NeMo Evaluator.5 4
Training-data informationDoes the information cover provenance, scope, acquisition, selection, labeling, processing, and where data or alternatives can be obtained? Access alone does not establish completeness.	Unknown	Not assessed.
Training-data accessCan the training data be obtained? This is independent of information completeness and reuse rights; original unshareable data need not be downloadable.	Partial	The model card says NVIDIA releases its final pre-training and post-training data, with an ungated sample set and gating and approval required for the remaining code, math, and multilingual data. It also lists third-party and NVIDIA datasets used in training as private and not publicly accessible.1
Complete training pipelineIs the complete base-training and preprocessing pipeline published, including configuration? Fine-tuning code or an inference SDK alone is insufficient.	Unknown	Not assessed.
Legacy data assessment (v0.1)Historical assessment combining download access and disclosure. Preserved for traceability; excluded from the v0.2 tier calculation. See the new separate assessments above.	Partial	The model card lists the pre- and post-training datasets. Major portions are released in Hugging Face collections, some requiring access approval, while several third-party and NVIDIA datasets are listed as private and not publicly accessible.1 6
Training recipeAre the training configuration and procedure documented in enough detail to follow?	Public	The recipe documents each stage described in the model card (pretraining, SFT, and RL) plus quantization and evaluation. NVIDIA notes the recipes use only the open-sourced data subset, so results will differ, and marks a knowledge-distillation stage as not yet published.5 1
Evaluation materialsPublic = evaluation code or prompts that let others re-run the evaluations are published. Partial = results only.	Public	The model card publishes benchmark results collected with the NeMo Evaluator SDK; it says some benchmarks used internal scaffolding not yet open-sourced.1

What it is useful for

The model card lists agentic workflows, long-context reasoning, high-volume workloads such as IT ticket automation, tool use, and retrieval-augmented generation, and states the model is ready for commercial use.1

Run and use notes

Documented facts only. No hardware or performance claims are made without a cited source and stated assumptions.

The model card documents serving with vLLM, SGLang, TensorRT-LLM, and Transformers, and states a minimum of 8x H100-80GB GPUs for the BF16 checkpoint; it points to the NVFP4 checkpoint for running on a single B200 or DGX Spark.1

Organization context

NVIDIA

Provenance and derivatives

Post-trained by NVIDIA (supervised fine-tuning and reinforcement learning) from its own pre-trained Nemotron 3 Super base checkpoint. The model card says post-training synthetic data was generated with teacher models, including third-party open models such as GPT-OSS-120B.1

Derived from: NVIDIA-Nemotron-3-Super-120B-A12B-Base-BF16 (external site: huggingface.co) — NVIDIA's pre-trained base checkpoint for this release.

Other releases in the NVIDIA Nemotron family

NVIDIA Nemotron 3 Ultra 550B-A55BModel-disclosure tier (USASI rubric v0.2): Open-weight
NVIDIA Nemotron 3.5 Lightning 30B-A3BModel-disclosure tier (USASI rubric v0.2): Open-weight
NVIDIA Nemotron 3.5 Super VL 120B-A12BModel-disclosure tier (USASI rubric v0.2): Open-weight
NVIDIA Nemotron Labs Dory1.0-4BModel-disclosure tier (USASI rubric v0.2): Open-weight

NVIDIA Nemotron family overview

What this catalog does not know

Unknown means the sources reviewed for this record do not document it. It is not evidence that something does not exist.

Training-data information: unknown.
Complete training pipeline: unknown.

Have a primary source? How to report a correction.

U.S. eligibility

Project eligibility rests on documented governing or maintaining entities, not on contributors.

Eligible · basis: U.S. headquarters

The model card names NVIDIA Corporation as the model developer. NVIDIA's principal executive offices are in Santa Clara, California, per its Form 10-Q for the quarter ended July 26, 2026.1 7

Assessed Sep 29, 2026

Sources

1.
NVIDIA-Nemotron-3-Super-120B-A12B-BF16 model card (external site: huggingface.co)
NVIDIA (Hugging Face) · Model card · published Mar 11, 2026 · accessed Oct 2, 2026
2.
Hugging Face model metadata for nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16 (external site: huggingface.co)
Hugging Face · Other · accessed Sep 29, 2026
3.
NVIDIA Nemotron Open Model License (external site: nvidia.com)
NVIDIA · License · published Dec 15, 2025 · accessed Sep 29, 2026
4.
NVIDIA Nemotron Developer Repository LICENSE (Apache License 2.0) (external site: raw.githubusercontent.com)
NVIDIA (GitHub) · License · accessed Sep 29, 2026
5.
Nemotron 3 Super Training Recipe (external site: raw.githubusercontent.com)
NVIDIA (GitHub) · Documentation · accessed Sep 29, 2026
6.
Nemotron-Pre-Training-Datasets collection (external site: huggingface.co)
NVIDIA (Hugging Face) · Dataset card · accessed Sep 29, 2026
7.
NVIDIA Corporation Form 10-Q for the quarter ended July 26, 2026 (external site: sec.gov)
U.S. Securities and Exchange Commission (EDGAR) · Filing · published Aug 26, 2026 · accessed Sep 29, 2026

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This listing is not an endorsement, a safety assessment, or a federal approval.

Cite this page

APA style

USASI. (2026, October 2). NVIDIA Nemotron 3 Super 120B-A12B. United States of America Superintelligence. https://unitedstatesofamericasuperintelligence.com/open/nemotron-3-super-120b-a12b/

BibTeX

@misc{usasi_nemotron_3_super_120b_a12b,
  author = {{USASI}},
  title = {NVIDIA Nemotron 3 Super 120B-A12B},
  year = {2026},
  month = oct,
  howpublished = {\url{https://unitedstatesofamericasuperintelligence.com/open/nemotron-3-super-120b-a12b/}},
  note = {United States of America Superintelligence. Last updated 2026-10-02}
}

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