GGUFs still converting, please wait until live. Read our How to Run Nemotron 3 Nano Guide! See Unsloth Dynamic 2.0 GGUFs for our quantization benchmarks. Note and are separate tokens, so use special if needed. You can also fine tune the model with Unsloth. NVIDIA Nemotron 3 Nano 4B BF16 Model Developer: NVIDIA Corporation Model Dates: Dec 2025 \ Jan 2026 Data Freshness: September 2024 The pretraining data has a cutoff date of September 2024\. Model Overview NVIDIA Nemotron 3 Nano 4B BF16 is a small language model (SLM) 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 controlled via a system prompt. 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 has been co…
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