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Thinking Machines Lab
inkling
Container
Thinking Machines Lab
inkling

This NIM container houses Inkling model, which is a 66-layer decoder-only transformer with a sparse Mixture-of-Experts (MoE) feed-forward backbone, featuring 975B total parameters and 41B active parameters

Inkling Container Overview

Description:

This NIM container houses the Inkling model, which is a 66-layer decoder-only transformer with a sparse Mixture-of-Experts (MoE) feed-forward backbone, featuring 975B total parameters and 41B active parameters, supporting BF16, MXFP8, and NVFP4. The model accepts text, image, and audio inputs, and generates text outputs. Inkling was developed by Thinking Machines Lab Inc. as a part of Inkling.

The container components are ready for commercial or non-commercial use.

Third-Party Community Consideration

The model embedded in the container is not owned or developed by NVIDIA. This model has been developed and built to a third-party’s requirements for this application and use case; see link to Non-NVIDIA Inkling Model Card.

License/Terms of Use:

GOVERNING TERMS: The NIM container is governed by the NVIDIA Software License Agreement and Product-Specific Terms for NVIDIA AI Products. The use of the model is governed by the NVIDIA Open Model Agreement. ADDITIONAL INFORMATION: Apache License, Version 2.0.

You are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.

NOTICE AND DISCLAIMER: This software automatically retrieves, accesses or interacts with external materials. Those retrieved materials are not distributed with this software and are governed solely by separate terms, conditions and licenses. You are solely responsible for finding, reviewing and complying with all applicable terms, conditions, and licenses, and for verifying the security, integrity and suitability of any retrieved materials for your specific use case. This software is provided "AS IS", without warranty of any kind. The author makes no representations or warranties regarding any retrieved materials, and assumes no liability for any losses, damages, liabilities or legal consequences from your use or inability to use this software or any retrieved materials. Use this software and the retrieved materials at your own risk.

Deployment Geography:

Global

Release Date:

HuggingFace: 07/15/2026 via URL.

Program Class:

This NIM Container houses the following model:

Model Name & LinkUse CaseHow to Pull the Model
InklingAccepts text, image, and audio inputs to generate text outputs.Automatic

Deployment Details:

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.

Models can be deployed via:

  • NIM container deployment

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.

Users are responsible for model inputs and outputs. Users are responsible for ensuring safe integration of this model, including implementing guardrails as well as other safety mechanisms, prior to deployment.

Please report quality, risk, security vulnerabilities or NVIDIA AI Concerns here.

Get Help

Getting started with the NIM

Deploying and integrating the NIM is straightforward thanks to our industry standard APIs. Visit the NVIDIA NIM for LLM and VLM Documentation for release documentation, deployment guides and more.

Enterprise Support

Get access to knowledge base articles and support cases or submit a ticket.

Publisher
Thinking Machines Lab
Latest Tag2.1.3
UpdatedOctober 6, 2026 UTC
Compressed Size14.45 GB
Multinode SupportNo
Multi-Arch SupportYes

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