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Nvidia Nemotron 3.5 Lightning

huggingface.co

August 11, 2026

39 min read

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52/100

Summary

NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4 is available for use with libraries such as Transformers for tasks like text generation. Users can implement this model by importing the pipeline from the Transformers library and specifying the model for text generation tasks.

Key Takeaways

NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4 features a total of 30 billion parameters, with 3 billion active parameters.
The model architecture combines MoE - Mamba-2, MoE, and Attention hybrid techniques.
It supports a context length of up to 1 million tokens.
The model can be deployed on a single GPU, specifically a DGX Spark (GB10) or H100.

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Coverage & discussions

Hacker News · huggingface.co

Nvidia Nemotron 3.5 Lightning ↗

Community discussions

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Analysis ready

Community Sentiment

Mixed

Positives

Nemotron models show better generalization than their qwen counterparts, making them more versatile for varied tasks — a crucial advantage for real-world applications.
The fully open-source training pipeline for Nemotron 3.5 is impressive, offering a unique combination of performance and accessibility that few models can match.
Nvidia's commitment to open-weights models could democratize AI, ensuring that powerful tools remain accessible to developers and researchers alike.

Concerns

Despite its open-source benefits, many commenters feel disappointed by Nemotron 3.5's performance compared to qwen and gemma models, raising questions about its competitive edge.
Skeptics point out that while the benchmarks look solid, they might not tell the full story, suggesting a potential cherry-picking of evaluation metrics.