LLM
Nemotron 3.5 Lightning 30B-A3B
Nemotron 3.5 Lightning hybrid Mamba MoE model.
Levelmodel
ClassLLM
Parameters30B
Contextnot in the notes
Released2026
Opennessopen source
Runs onconsumer GPU
Statusactive
Benchmark Results
maintainer-run
SEA-HELMSoutheast Asian and Indonesian
maintainer-run
64.34 95% CI [-1.36, +1.37]
04080
Score in score. Higher is better.
SEA-HELM Indonesian, open-weight models, average of 2,000 bootstraps
maintainer-run
46.06 95% CI [-0.54, +0.54]
04080
Score in score. Higher is better.
SEA-HELM SEA average, open-weight models
Where this comes from
Every score names who ran it: vendor-reported, maintainer-run or independent. A rank is shown with the population it was ranked in (gap rule 3).
R&D Topics
Identity
- Developer
- NVIDIA
- Family
- Nemotron 3
- Released
- 2026 sourcesnotes
- Weights published
- –
- Record checked
- 10 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.
Architecture and Size
- Architecture
- hybrid Hybrid Mamba MoE
- Total parameters
- 30B sources
- Active parameters
- 3.5B
- Checkpoint parameters
- –
- Context length
- not in the notes
- Input
- text
- Output
- text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).
Openness and Access
- Openness
- open source
- Licence
- OpenMDW License v1.1 sources
- Access routes
- open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- consumer GPU
- Footprint
- Consumer GPU at NVFP4 (listed at 18B)
- Runtimes
- not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.
Indonesia
- Indonesian support
- measured on a benchmark
- SEA-HELM Indonesian leaderboard (ID aggregate, first score column of the Indonesian Competency and Task Scores table): 64.34 (95% CI -1.36 to +1.37), run by AI Singapore (SEA-HELM leaderboard maintainer) leaderboard.sea-lion.ai
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Lineage
The notes record no lineage for this model.
Industry Use Cases
No industry use case links this model.
Links
DeveloperNVIDIAbig tech, USA
NVIDIAbig tech, USAModelNemotron 3.5 Lightning 30B-A3BNVIDIA, LLM
Nemotron 3.5 Lightning 30B-A3BNVIDIA, LLMR&D TopicsEfficiency Architectures (MoE, Sparse Attention, Long Context)Open-Weight Frontier Releases as Research Substrate
Use CasesClinical LLM (Open Weights)HealthcareProcess Optimisation and Advanced Process ControlIndustrialTelecom Domain LLMs and BenchmarksTelecomUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs It
PT Amman Mineral Nusa Tenggara (AMMAN)In production, 8 Jul 2026MIND IDResearch, 14 Oct 2025
Conch CementIn production, 23 Jun 2025
PT Kalbe Morinaga IndonesiaIn production, Oct 2024+2 moreDeployments of these use cases; none names this model.
PT Amman Mineral Nusa Tenggara (AMMAN)In production, 8 Jul 2026MIND IDResearch, 14 Oct 2025Conch CementIn production, 23 Jun 2025PT Kalbe Morinaga IndonesiaIn production, Oct 2024+2 moreDeployments of these use cases; none names this model.Models 1
Organisations 1
Sources
- huggingface.co/nvidia https://huggingface.co/nvidia
- huggingface.co/nvidia/models?search=nemotron-3 https://huggingface.co/nvidia/models?search=nemotron-3
- SEA-HELM Leaderboard leaderboard.sea-lion.ai/detailed/SEA https://leaderboard.sea-lion.ai/detailed/SEA
- SEA-HELM Leaderboard leaderboard.sea-lion.ai/detailed/ID https://leaderboard.sea-lion.ai/detailed/ID
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Nemotron 3.5 Lightning 30B-A3B", https://aurion.semai.id/models/nvidia-nemotron-3-5-lightning-30b-a3b/, records of October 2026.