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Pinto Model Zoo

Pinto Model Zoo is a GitHub repository that stores machine-learning models converted between frameworks and runtimes, including TensorFlow, PyTorch, ONNX, OpenVINO, TensorFlow.js, TensorRT, TensorFlow Lite, EdgeTPU and CoreML.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Pinto Model Zoo — OpenViST project profile in AI Models.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use the repository when searching for an existing converted model artifact across its listed frameworks and runtimes, then review the relevant model folder and license before use.

Who it is for

  • Developers looking for model artifacts in a framework or runtime format they use.
  • Readers comparing which supported formats are listed for a model.

Documented uses

  • Find converted model artifacts for a listed framework or runtime.
  • Review the license applying to a model before using it.
  • Check whether sample code is available for evaluating a model's operation.
Before you choose

Requirements & limits

  • The README lists TensorFlow, PyTorch, ONNX, OpenVINO, TensorFlow.js, TensorRT, TensorFlow Lite, EdgeTPU and CoreML.
  • Sample code for checking model operation is often omitted, according to the README.
  • Conversion scripts are described as MIT-licensed, but source-model terms depend on the provider repository; check the LICENSE file in each model folder.
  • The README includes dated notes about particular model and quantization issues; these do not establish general compatibility.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Review a model folder’s license before use

Check the licensing terms that apply to a model in the repository.

Before you start

  • Access to the PINTO_model_zoo repository and the model’s folder.

Steps

  1. Open the folder for the model you intend to use.

  2. Read the LICENSE file located directly under that folder.

  3. Review the source model provider repository’s license, which governs the source model.

Expected outcome

You have reviewed the folder’s license and the applicable source-model licensing information before using the model.

Guide limitations

  • Conversion scripts are released under MIT, but that does not determine the source model’s license.
  • The repository notes that sample code for checking model operation has generally not been provided.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
13 October 2026
Original website title
GitHub - PINTO0309/PINTO_model_zoo: A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), Edge · Official homepage title · retained in its source language
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