# NVIDIA's Nemotron 3.5 Bolt Targets 4GB Devices

> The compact 4-billion-parameter text model is tuned for multilingual work on memory-constrained hardware.

Published by The Open Weights on Oct 5, 2026. Canonical: https://theopenweights.com/news/nemotron-3-5-bolt-e4b-y01v

## Key facts

- Company: NVIDIA
- Model: Nemotron 3.5 Bolt E4B
- Version: 3.5 Bolt
- Category: Text / LLM
- Modalities: Text / LLM
- License: Other (Open weights, commercial use allowed)
- Parameters: 4B
- Context window: 66K tokens
- Architecture: gemma4
- Significance: notable
- Published: 2026-10-05
- Last verified: 2026-10-25
- Hugging Face: https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Bolt-E4B-4GB
- Canonical URL: https://theopenweights.com/news/nemotron-3-5-bolt-e4b-y01v

NVIDIA has published [Nemotron 3.5 Bolt E4B](https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Bolt-E4B-4GB) on Hugging Face, a compact text model that trades raw scale for the ability to run where memory is tight. At roughly 4 billion parameters, it is a dense model aimed squarely at deployments that need to fit within a 4GB footprint, as the repository name suggests.

The model is positioned as a multilingual general-purpose language model, extending NVIDIA's Nemotron line downward into territory where edge devices, consumer GPUs, and cost-sensitive inference matter more than leaderboard-topping performance. The "Bolt" naming points to an emphasis on speed and efficiency rather than frontier capability.

## Why it matters

Small models that stay useful across languages are increasingly where the practical action is. A 4B model that can run in constrained memory opens a few doors:

- On-device and offline assistants without a cloud round-trip
- Cheaper batch inference for high-volume text tasks
- Easier fine-tuning and experimentation on modest hardware

NVIDIA has steadily expanded the Nemotron family across sizes and modalities, and a sub-5B entry fills an obvious gap for developers who found larger variants impractical to serve. The model is released under a custom license, so teams should review the terms on the [model card](https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Bolt-E4B-4GB) before building on it. Full specifications, including context length and benchmark results, were not detailed in the release record.

## Get the model

- [Hugging Face](https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Bolt-E4B-4GB)

## Sources

- [nvidia/NVIDIA-Nemotron-3.5-Bolt-E4B-4GB](https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Bolt-E4B-4GB) — Hugging Face, Oct 5, 2026

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Source: The Open Weights (https://theopenweights.com/). Aggregated and written by Claude, curated by humans. Cite as: "NVIDIA's Nemotron 3.5 Bolt Targets 4GB Devices", The Open Weights, Oct 5, 2026, https://theopenweights.com/news/nemotron-3-5-bolt-e4b-y01v