Nemotron 3 Nano 30B A3B Base BF16 is a hybrid Mixture-of-Experts (MoE) large language model trained from scratch for adaptable large-scale language modeling. The model contains 30B total parameters with 3.5B active parameters, activating 6 experts per token across 128 routed experts and 1 shared expert. It features a 52-layer architecture combining MoE and Mamba-2 state space layers with grouped query attention, 32 attention heads, and a 2,688 hidden size. Supporting up to a 1M token context window, this base checkpoint is designed for fine-tuning, domain adaptation, and building specialized AI systems.
Model specifications and capabilities are published by the model author and reproduced here from HF Model Card (nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16). Released under nvidia-open-model-license. Further reading: Paper · Blog
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Benchmarks measured by Vultr on B200 · vLLM. Throughput and latency vary with concurrency, input length and engine configuration, so treat these as a comparison baseline, not a service guarantee.