nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-NVFP4

text-generation model by nvidia

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Model Developer: NVIDIA Corporation Model Dates: September 2025 \- December 2025 Data Freshness: Nemotron-Nano-3-30B-A3B-NVFP4 is a quantized version of Nemotron-Nano-3-30B-A3B and is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks. It responds to user queries and tasks by first generating a reasoning trace and then concluding with a final response. The model's reasoning capabilities can be configured through a flag in the chat template. If the user prefers the model to provide its final answer without intermediate reasoning traces, it can be configured to do so, albeit with a slight decrease in accuracy for harder prompts that require reasoning. Conversely, allowing the model to generate reasoning traces first generally results in higher-quality final solutions to queries and tasks. The model employs a hybrid Mixture-of-Experts (MoE) architecture, consisting of 23 Mamba-2 and MoE layers, along with 6…

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Model overview

nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-NVFP4 is a text-generation model repository published by nvidia on Hugging Face. The source reports the transformers library.

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Model facts

Task: text-generation
Library: transformers
Recent downloads (30 days): 957,957
Cumulative likes: 179
Hugging Face trending score: 0
Reported safetensors parameters: 18,237,772,608
Architecture: NemotronHForCausalLM
License: other
Access: Not gated by Hugging Face
Created: 2025-12-20T09:12:40.000Z
Last modified: 2026-08-24T23:50:33.000Z

Compatibility and lineage

Reported languages: en, es, fr, de, ja, it

Reported base models: nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Source: Hugging Face Hub. Metadata observed 2026-09-23T06:37:26.023Z. Daily imports are snapshots, not real-time monitoring.

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