NVIDIA Nemotron 3 Nano 4B FP8 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 FP8 is quantized version of NVIDIA Nemotron 3 Nano 4B BF16 and 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 compressed from NVIDIA Nemotron Nano 9B v2 using the Nemotron Elastic framework. The details of the parent model NVIDIA Nemotron Nano 9B v2 can be found in (Nemotron H tech report). The model uses a hyb…
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