NVIDIA Nemotron 3.5 Lightning 30B-A3B
NVIDIA Nemotron 3.5 Lightning 30B-A3B is an open-weight model release in the NVIDIA Nemotron family from NVIDIA1, version 3.5 Lightning (30B-A3B), GA, released Aug 11, 2026. Its weights can be downloaded by the public163 under the OpenMDW License Agreement, version 1.112.
Nemotron 3.5 Lightning is an NVIDIA language model with 30B total and 3B active parameters, using a hybrid Mamba-2 and attention mixture-of-experts architecture with multi-token prediction and configurable reasoning. NVIDIA released full-precision BF16 weights, an NVFP4 checkpoint for deployment, draft models for speculative decoding, and a separate base checkpoint.16
- Model hub: Model card (BF16) (external site: huggingface.co)
- License: OpenMDW License Agreement, version 1.1 (external site: raw.githubusercontent.com)
- Documentation: Nemotron 3.5 Lightning training recipe (external site: github.com)
On AI on Hugging Face: nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16
Availability and license
Overall availability
Weights are downloadable from Hugging Face under the OpenMDW-1.1 license, a copy of which is included in the model repository; the repository metadata showed no access gate when checked.123
Availability is separate from permission: read the license before using or redistributing.
OpenMDW License Agreement, version 1.1 (external site: huggingface.co)12
Plain-language guide to the OpenMDW License Agreement, version 1.1Apache License 2.0 (Nemotron Developer Repository training recipes) (external site: raw.githubusercontent.com)5
Plain-language guide to the Apache License 2.0
OpenMDW-1.1 grants free permission to use, modify, and share the model materials without restriction, including under copyright, patent, database, and trade secret rights. Redistributors must include a copy of the agreement and keep applicable origin notices. All rights end for anyone who sues claiming the materials infringe a patent or copyright, unless responding to a suit brought against them first. It imposes no conditions on outputs and disclaims warranties. The SPDX list (version 3.29.0) includes OpenMDW-1.0 but not version 1.1, so no SPDX ID is recorded. NVIDIA's Lightning recipe page states that the weights, data, and recipes are released under OpenMDW-1.1, while the Nemotron Developer Repository's only LICENSE file is Apache 2.0; this record lists the repository LICENSE for the recipe code.2465
Component reuse rights
- 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
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.
Public materials checklist
| Item | Status | Notes and evidence |
|---|---|---|
| WeightsCan the general public download the model parameters for this release? | Public | BF16, NVFP4, and base BF16 checkpoints are published on Hugging Face.163 |
| Inference codeIs code for running the model published? | Public | The model card gives deployment instructions for vLLM and SGLang.1 |
| Training codeIs the code used to train the model published? | Public | The Apache-2.0 Nemotron Developer Repository provides pretraining, SFT, RL, evaluation, and quantization stages for this model.65 |
| 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.17 |
| Training recipeAre the training configuration and procedure documented in enough detail to follow? | Public | The recipe documents pretraining, SFT, RL, evaluation, and quantization stages. There is no separate technical report; NVIDIA names the model cards and recipe configs as the references, and notes the recipes use only the open-sourced data subset.6 |
| 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 and states that evaluation recipes and commands for reproducing them are published in NeMo Gym.1 |
What it is useful for
Run and use notes
- The model card documents serving the BF16 checkpoint with vLLM or SGLang on NVIDIA GB200, B200, and H100 GPUs, including a single H100 80GB deployment in BF16 precision at a 256K-token context, and recommends the NVFP4 checkpoint for optimized inference.1
Organization context
Provenance and derivatives
Trained by NVIDIA through pretraining, continued pretraining for multi-token prediction, supervised fine-tuning, and reinforcement learning; the base checkpoint is published separately. The model card says post-training synthetic data was generated with teacher models, including third-party open models such as GPT-OSS-120B.16
- Derived from: NVIDIA-Nemotron-3.5-Lightning-30B-A3B-Base-BF16 (external site: huggingface.co) — NVIDIA's base checkpoint, listed alongside this release in the training recipe.
Other releases in the NVIDIA Nemotron family
- NVIDIA Nemotron 3 Super 120B-A12BModel-disclosure tier (USASI rubric v0.2): Open-weight
- NVIDIA Nemotron 3 Ultra 550B-A55BModel-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
What this catalog does not know
- Training-data information: unknown.
- Complete training pipeline: unknown.
Have a primary source? How to report a correction.
U.S. eligibility
Sources
This listing is not an endorsement, a safety assessment, or a federal approval.
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APA style
USASI. (2026, October 2). NVIDIA Nemotron 3.5 Lightning 30B-A3B. United States of America Superintelligence. https://unitedstatesofamericasuperintelligence.com/open/nemotron-3-5-lightning-30b-a3b/
BibTeX
@misc{usasi_nemotron_3_5_lightning_30b_a3b,
author = {{USASI}},
title = {NVIDIA Nemotron 3.5 Lightning 30B-A3B},
year = {2026},
month = oct,
howpublished = {\url{https://unitedstatesofamericasuperintelligence.com/open/nemotron-3-5-lightning-30b-a3b/}},
note = {United States of America Superintelligence. Last updated 2026-10-02}
}The date is when this page was last updated. Add the date you read it if your style needs one.
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