Nemotron-3.5-bolt-e4b-BF16 NIM Container Overview
Description:
The Nemotron-3.5-bolt-e4b-BF16 NIM container packages Nemotron-3.5-bolt-e4b-BF16, a 4-billion-parameter large language model further post-trained by NVIDIA from Google's Gemma-4-E4B-it, as an NVIDIA NIM microservice. The model supports text-based reasoning, chat, instruction following, coding, structured output, and tool-calling use cases. The container provides an industry-standard API for integrating the model into developer workflows and AI applications.
The container components are ready for commercial or non-commercial use.
License/Terms of Use:
GOVERNING DOWNLOAD TERMS: Use of this container is governed by the NVIDIA Software License Agreement and the Product-Specific Terms for NVIDIA AI Products. Use of the model is governed by the OpenMDW License Agreement, version 1.1.
ADDITIONAL INFORMATION: Apache License, Version 2.0.
You are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.
Deployment Geography:
Global
Release Date:
NGC 10/23/2026 via link
Program Classes:
The Nemotron-3.5-bolt-e4b-BF16 NIM Container includes the following model:
| Model Name & Link | Use Case | How to Pull the Model |
|---|---|---|
| Nemotron-3.5-bolt-e4b-BF16 | Full-precision text reasoning, chat, instruction following, coding, structured output, tool calling, customization, post-training, research, and evaluation in English, Spanish, French, German, Italian, and Japanese | Automatic (embedded in container) |
Deployment Details:
Visit the NIM Container LLM page for release documentation, deployment guides, and more.
Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated systems. By leveraging NVIDIA's hardware (e.g. GPU cores) and software frameworks (e.g., CUDA libraries), the model achieves faster training and inference times compared to CPU-only solutions.
Operating System: Linux
Reference(s):
Security Common Vulnerabilities and Exposures (CVEs)
Please review the Security Scanning tab on NGC to view the latest security scan results. For certain open-source vulnerabilities listed in the scan results, NVIDIA provides a response in the form of a Vulnerability Exploitability eXchange (VEX) document. The VEX information can be reviewed and downloaded from the Security Scanning tab.
Ethical Considerations:
NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. Developers should work with their internal developer team to ensure these software components meet requirements for the relevant industry and use case and address unforeseen product misuse.
Please report quality, risk, security vulnerabilities or NVIDIA AI Concerns here.
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Getting started with the NIM
Deploying and integrating the NIM is straightforward thanks to our industry standard APIs. Visit the NIM LLM documentation for release documentation, deployment guides and more.
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