In this guide, we’ll show you how to export these models to ONNX (Open Neural Network eXchange). 5B 模型导出为 onnx optimum-cli export onnx --model Qwen2. main_export, which will take care of using the proper exporting function according to the available framework I would appreciate some help to explain me why it fails and what can I do. Dec 7, 2022 · Following what was done by @chainyo in Transformers, in the ONNXConfig: Add a configuration for all available models issue, the idea is to add support for exporting new models in optimum. The CLI provides a user-friendly way to convert PyTorch models to ONNX with various configuration options and optimizations. Refer to the optimum documentation for precise commands based on your model and The ONNX export CLI is accessed through the optimum-cli export onnx command, which provides a comprehensive interface for converting models from the Hugging Face ecosystem to ONNX format. onnxruntime import ORTStableDiffusionPipeline model_id = "sd\_v15\_onnx" Allows to run ONNX Runtime optimizations directly during the export. Apr 17, 2024 · Whereas sentis tiny stories model has got only one INPUT (Input index) and NINE outputs (values and keys). There are two ways to export a 🤗 Transformers model to ONNX, here we show both: export with 🤗 Optimum via CLI. Possible options: - O1: Basic general optimizations - O2: Basic and extended general optimizations, transformers-specific fusions This guide demonstrates how you can export 🤗 Transformers models to ONNX with 🤗 Optimum, for the guide on exporting models to TFLite, please refer to the Export to TFLite page. Changing arguments: I have tried various combinations of arguments, such as using output-dir instead of output, and changing fp16=True to dtype="fp16". Exporting a model to ONNX using the CLI To export a 🤗 Transformers or 🤗 . The following snippet prepares a python virtual environment, installs the required packages and serializes (e. 本指南将向你展示如何使用 ONNX Runtime 与 Stable Diffusion 和 Stable Diffusion XL (SDXL) 管道。 Stable Diffusion 要加载并运行推理，请使用 [~optimum. Apr 2, 2025 · 3. Prepare model # Download the HF Llama-2-7b-hf checkpoint. ORTStableDiffusionPipeline]. Exporting a model to ONNX using the CLI To export a 🤗 Transformers or 🤗 May 15, 2024 · Using this command (optimum-cli export onnx --model Qwen1. Apr 8, 2023 · $ python3 tools/export-onnx. 5 days ago · 文章浏览阅读885次，点赞22次，收藏15次。本文详细介绍了将微调后的Qwen-0. You can export models to ONNX from two frameworks in 🤗 Optimum: PyTorch and TensorFlow. 导出到 ONNX 的好处包括：通过图优化和量化来提升推理性能。使用 ORTModel API 来通过 ONNX Runtime 运行模型。为 ONNX 模型使用优化的推理 pipeline。使用 Optimum CLI 或 optimum. main_export，它将根据可用的框架负责使用适当的导出函数，检查导出的 Apr 27, 2024 · optimum-cli export onnx --model . here) ORTModelForSeq2SeqLM. safetensors file I was trying to use the local_path option and therefore account for all the files (tokens etc…) to produce the ONNX but it asks for task (this is why I have added the --task option but as there is no task for text If for any purpose you would like to disable the export with past keys/values reuse, passing explicitly to optimum-cli export onnx the task text2text-generation, text-generation or automatic-speech-recognition is required. This system handles the conversion of Transfo Dec 23, 2025 · ONNX export It is possible to export 🤗 Transformers, Diffusers, Timm and Sentence Transformers models to the ONNX format and perform graph optimization as well as quantization easily: optimum-cli export onnx --model meta-llama/Llama-3. 2 $ lsb_release -a No LSB modules are available. Jul 24, 2025 · The ONNX Model Export system converts Hugging Face models from PyTorch to ONNX format, enabling optimized inference across different runtime environments. To check the supported architectures, go to the configuration reference page. However, I get an error saying 🤗 Optimum provides support for the ONNX export by leveraging configuration objects. onnxruntime package that enables you to apply graph optimization on many model hosted on the 🤗 hub using the ONNX Runtime model optimization tool. Once the model is exported to the ONNX format, we provide Python classes enabling you to run the exported ONNX model in a seamless manner using ONNX Runtime in the backend: This document covers the command line interface for exporting Hugging Face models to ONNX format using the optimum-cli export onnx command. May 4, 2023 · I modified the BertEmbeddins, BertModel and BertForTokenClassification to accept additional feature (whether token in capitalized or not), in pure transformers it all works, but I am struggling with implementing the export of this custom model (so I can optimize it with optimum and get an inference speed up) register_for_onnx = TasksManager. main_export, which will take care of using the proper exporting function according to the available framework Accelerated Inference Optimum provides multiple tools to export and run optimized models on various ecosystems: ONNX / ONNX Runtime, one of the most popular open formats for model export, and a high-performance inference engine for deployment. 5B-Chat_onnx/) to perform onnx transformation, it is found that the tensor type of the model becomes int64. For the list of ready-made configurations, please refer to 🤗 Optimum documentation. Serialize with optimum-cli - One, quick, way to achieve this, is to use the optimum-cli command line tool. Upon obtaining permission, download the checkpoint to the Llama-2-7b-hf folder. These configuration objects come ready made for a number of model architectures, and are designed to be easily extendable to other architectures. data) and Dec 19, 2025 · pip install --upgrade --upgrade-strategy eager optimum [onnx] It is possible to export Transformers, Diffusers, Sentence Transformers and Timm models to the ONNX format and perform graph optimization as well as quantization easily. 文章浏览阅读4. 5B --task text-generation Qwen2. Exporting a model to ONNX using the CLI To export a 🤗 Transformers or 🤗 要离线导出 ONNX 格式的管道并在以后用于推理，使用 optimum-cli 导出命令： optimum-cli export onnx --model runwayml/stable-diffusion-v1-5 sd_v15_onnx/ 然后执行推理（您不必指定导出=真再次）： from optimum. \ instead of directly the model. #1781 New issue 🤗 Optimum provides support for the ONNX export by leveraging configuration objects. 如果你想加载 PyTorch 模型并将其动态转换为 ONNX 格式，请设置 export=True： If for any purpose you would like to disable the export with past keys/values reuse, passing explicitly to optimum-cli export onnx the task text2text-generation, text-generation or automatic-speech-recognition is required. 3. For more information on the ONNX export, please check the documentation. onnxruntime. onnxruntime 模块导出。當模型匯出為 ONNX 格式時，這些運算子用於構建計算圖（通常稱為*中間表示*），它表示資料在神經網路中的流動。透過暴露一個具有標準化運算子和資料型別的圖，ONNX 可以輕鬆地在不同框架之間切換。 We’re on a journey to advance and democratize artificial intelligence through open source and open science. 7k次，点赞26次，收藏26次。本文介绍了如何使用HuggingFace的Optimum库将Transformer模型转换为ONNX格式，以便于部署和跨框架兼容。提供了两种方法：通过命令行接口和编程方式导出，以及ONNX的优势和应用示例。 🤗 Optimum provides support for the ONNX export by leveraging configuration objects. onnxruntime 导出。使用 CLI 将 Transformers 模型导出到 ONNX Apr 27, 2024 · optimum-cli export onnx --model . Optimizing a model during the ONNX export The ONNX model can be directly optimized during the ONNX export using Optimum CLI, by passing the argument --optimize {O1,O2,O3,O4} in the CLI, for example: Oct 14, 2023 · In the above command we use the optimum-cli , which is a command line wrapper over the optimum library. 5B_onnx/ Copied optimum-cli export onnx -- help 要从🤗 Hub导出模型的检查点，例如 distilbert/distilbert-base-uncased-distilled-squad，请运行以下命令： Copied optimum-cli export onnx --model distilbert/distilbert-base-uncased-distilled-squad distilbert_base_uncased_squad_onnx/ Dec 8, 2022 · For now, I would say it is reasonable to keep optimum-cli export onnx untouched, and just add optimum-cli onnxruntime optimize and optimum-cli onnxruntime quantize, that already expect a folder with ONNX model (s). Optimum can be used to load optimized models from the Hugging Face Hub and create pipelines to run accelerated inference without rewriting your APIs. Export functions You can export models to ONNX from two frameworks in 🤗 Optimum: PyTorch and TensorFlow. The outputs will be different depending on the model Validating ONNX model model_onnx/model. In order to use 🤗 Optimum with TensorRT in a local environment, we recommend following the NVIDIA installation guides: 🤗 Optimum provides support for the ONNX export by leveraging configuration objects. 2-1B onnx_llama/ The model can also be optimized and quantized with onnxruntime. utils import parse_uri, reproducibility from pathlib import Path from transformers import AutoConfig, AutoModelForCausalLM, AutoTokenizer def export_to_onnx ( Mar 28, 2024 · There is a significant difference between using method 1 to export the onnx model and using method 2 to export the onnx model, while relying on optimus. Jun 18, 2024 · Summary I am trying to export the CIDAS/clipseg-rd16 model to ONNX using optimum-cli as given in the HuggingFace documentation. Using pt to export to … Search documentation main EN Optimum ONNX 🤗 Optimum ONNX Installation Quickstart ONNX Runtime ONNX Overview How-to guides Reference ONNX configurations Export functions Join the Hugging Face community Oct 10, 2023 · 文章浏览阅读903次。本文介绍了如何使用optimum-cli将模型导出为ONNX格式，包括encoder. Sep 11, 2025 · 文章浏览阅读361次，点赞4次，收藏10次。在深度学习模型部署领域，ONNX格式作为跨框架的中间表示格式被广泛使用。Optimum作为HuggingFace生态中的优化工具集，其`optimum-cli`命令行工具提供了将HuggingFace模型导出为ONNX格式的功能。与直接使用PyTorch的`torch. 12 version). If successful you should see something similar to the following. \ --task default onnx-directory\ by specifying . /deepseek-1. There is an export function for each of these frameworks, export_pytorch () and export_tensorflow (), but the recommended way of using those is via the main export function ~optimum. ONNX is an open standard that defines a common set of operators and a common file format to represent deep learning models in a wide variety of frameworks, including PyTorch and TensorFlow. Exporting a 🤗 Transformers model to ONNX with CLI If for any purpose you would like to disable the export with past keys/values reuse, passing explicitly to optimum-cli export onnx the task text2text-generation, text-generation or automatic-speech-recognition is required. Apr 16, 2024 · optimum-cli export onnx --model . What's cool is that the model can then directly be used with ONNX Runtime in (e. To check the difference I used python optimum to export to ONNX model from the original roneneldan/TinyStories-33M model (pt-model) with: optimum-cli export onnx --opset 15 --model model --task text-generation model_tinyorig_ONNX torch. onnx模型的结构，如节点、输入和输出。 Dec 7, 2022 · 珞 Optimum是Transformers的珞扩展，它提供了一组性能优化工具，以最高效率在目标硬件上训练和运行模型。您可以从 🤗 Optimum 中的两个框架将模型导出到 ONNX：PyTorch 和 TensorFlow。每个框架都有一个导出函数， export_pytorch () 和 export_tensorflow ()，但推荐的使用方法是通过主导出函数 ~optimum. 15. We start by specifying the model we want to export and we also specify the level of optimizations that ONNX should do. Thank you!! optimum-cli export onnx --model codellama/CodeLlama-7b-Instruct-hf codellama-onnx Framework not specified. Sep 1, 2023 · Feature request Currently optimum-cli export onnx only supports exporting text-generation models with present outputs (--task text-generation) or with past+present outputs (``--task text-generation-with-past`). 2 sentence-transformers version: 2. For now, three exporting format are supported: ONNX and TFLite (TensorFlow Lite). create_register("onnx") @register_for_onnx("custom You can export models to ONNX from two frameworks in 🤗 Optimum: PyTorch and TensorFlow. It is possible to export Transformers, Diffusers, Sentence Transformers and Timm models to the ONNX format and perform graph optimization as well as quantization easily. If for any purpose you would like to disable the export with past keys/values reuse, passing explicitly to optimum-cli export onnx the task text2text-generation, text-generation or automatic-speech-recognition is required. 16. Dec 8, 2022 · For now, I would say it is reasonable to keep optimum-cli export onnx untouched, and just add optimum-cli onnxruntime optimize and optimum-cli onnxruntime quantize, that already expect a folder with ONNX model (s). 5b--opset 15--quantization-config=int8 We’re on a journey to advance and democratize artificial intelligence through open source and open science. # Example using optimum CLI pip install optimum[onnxruntime] optimum-cli export onnx --model my-quantized-llm-checkpoint -t text-generation --device cuda --dtype O1 my_onnx_model/ The command above demonstrates how optimum might be used to export a model. onnxruntime 模块导出。 Inference Training Quantization Export to production ONNX ExecuTorch Resources Contribute Oct 9, 2023 · 现成的配置列表请参考 Optimum 文档。有两种方法可以将 Transformers 模型导出到 ONNX，这里我们展示这两种方法：通过 CLI 使用 Optimum 导出。使用 Optimum 和 optimum. py ${PATH_LLAMA_13B} This will export your llama hf model to onnx. 0 Who can help? @michaelbenayoun Information The official example scripts My own modified scripts Tasks An officiall If for any purpose you would like to disable the export with past keys/values reuse, passing explicitly to optimum-cli export onnx the task text2text-generation, text-generation or automatic-speech-recognition is required. onnx. 1 day ago · 结语：本章给大家讲了几种不同模型部署方式，并演示了通过ONNX的方式部署本地模型，还演示了如何使用Langchain4j 中的OnnxEmbeddingModel加载本地ONNX文件。 Langchain4j 系列上一章：《Langchain4j 系列之二十五 - Moderation Models & Audio Models》 🤗 Optimum ONNX: Export your model to ONNX and run inference with ONNX Runtime - huggingface/optimum-onnx Jul 29, 2024 · optimum-cli export onnx --task object-detection --model model model_onnx/ 7. 當模型匯出為 ONNX 格式時，這些運算子用於構建計算圖（通常稱為*中間表示*），它表示資料在神經網路中的流動。透過暴露一個具有標準化運算子和資料型別的圖，ONNX 可以輕鬆地在不同框架之間切換。 Jun 21, 2022 · Introduction guide about ONNX and Transformers. While my direct expertise in the internal workings of the Optimum library for ONNX export is limited, I am willing to contribute by: Testing: Thoroughly testing any implementation of this feature on various transformer models. export`不同，Optimum采用了更完整的模型导出 Feb 9, 2021 · You can check optimum-cli export onnx --help for more details. onnx & encoder_model. Pip requirements # Install the necessary Python packages: 🤗 Optimum ONNX: Export your model to ONNX and run inference with ONNX Runtime - ningpp/Idefics3Support-onnx 2 days ago · 我们可以尝试以下方法： **方法 1：使用等号连接参数和值** ```bash optimum - cli export onnx \ -- model= Qwen 2. 5B_onnx/ 🤗 Optimum enables exporting models from PyTorch or TensorFlow to different formats through its exporters module. g. 11. However, I get an error saying ValueError: Unrecognized configuration Dec 23, 2025 · Once the model is exported to the ONNX format, we provide Python classes enabling you to run the exported ONNX model in a seamless manner using ONNX Runtime in the backend: Jul 29, 2024 · You can now use this model with the ONNX Runtime. Distributor ID: Debian Description: Debian GNU/Linux 12 (bookworm) R Feb 26, 2024 · 🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools - huggingface/optimum Sep 26, 2025 · Prepare model # Download the HF Llama-2-7b-hf checkpoint. 现有的配置列表请参考 🤗 Optimum 文档。有两种方式可以将 🤗 Transformers 模型导出为 ONNX，这里我们展示这两种方法：使用 🤗 Optimum 的 CLI（命令行）导出。使用 🤗 Optimum 的 optimum. It would be useful to be able to export a variant without any caching structures if they will not be used. onnx，以及如何查看和分析model. We’re on a journey to advance and democratize artificial intelligence through open source and open science. 5B-Chat --task text-generation Qwen1. onnx和decoder. OpenVINO, a toolkit for optimizing, quantizing and deploying deep learning models on Intel hardware. 5-0. 🤗 Optimum provides support for the ONNX export by leveraging configuration objects. Oct 10, 2024 · System Info $ pip freeze | grep optimum optimum==1. Convert model using Optimum CLI interface # Alternatively, you can use the Optimum CLI interface for converting models (supported starting optimum-intel 1. Some of these optimizations are specific to ONNX Runtime, and the resulting ONNX will not be usable with other runtime as OpenVINO or TensorRT. Learn how to convert transformers like BERT to ONNX and what you can do with it. The ONNX model can be directly optimized during the ONNX export using Optimum CLI, by passing the argument --optimize {O1,O2,O3,O4} in the CLI, for example: Mar 9, 2024 · Feature request Hello, I am exporting the OpenAI Whisper-large0v3 to ONNX and see it exports several files, most importantly in this case encoder (encoder_model. exports) the specified model using optimum-cli : Dec 19, 2025 · pip install --upgrade --upgrade-strategy eager optimum [onnx] It is possible to export Transformers, Diffusers, Sentence Transformers and Timm models to the ONNX format and perform graph optimization as well as quantization easily. 23. exporters. 🤗 Optimum provides an optimum. For additional details, see the Llama2 page on Huggingface. 0 transformers version: 4. 0 $ python -V Python 3. May 3, 2024 · @JamesXanda Can you update Optimum with pip install -U optimum and try again please? optimum-cli export onnx --model google-t5/t5-small onnx_model runs well on my laptop with latest stable release of Optimum. 1 onnx version: 1. Export onnx model from Llama-2-7b-hf torch model: Apr 12, 2024 · Reproduction (minimal, reproducible, runnable) optimum-cli export onnx --model openai/whisper-large-v3 whisper_large_v3_optimum_onnx/ --trust-remote-code Expected behavior I would expect Optimum to successfully export the Whisper-Large-V3 model to ONNX format without encountering any errors or issues. export with 🤗 Optimum with optimum. /whisper-tiny/ --task automatic-speech-recognition whisper-tiny-onnx optimum-cli onnxruntime quantize --arm64 --onnx_model whisper-tiny-onnx -o qu_whisper-tiny-onnx Optimum is a utility package for building and running inference with accelerated runtime like ONNX Runtime. onnx -[ ] ONNX model output names match reference model (logits, pred_boxes) Jun 18, 2024 · Summary I am trying to export the CIDAS/clipseg-rd16 model to ONNX using optimum-cli as given in the HuggingFace documentation. onnxruntime 模块将 Transformers 模型导出为 ONNX。运行以下命令以安装 Optimum 和 exporters 模块。 Feb 14, 2024 · System Info optimum version: 1. 37. Stay tuned as the true power of using ONNX is unlocked when you can also convert all the pre and post data processing steps to smaller dependency trees. Exporting a model to ONNX using the CLI To export a 🤗 Transformers or 🤗 例如，指定 BERT 模型 ONNX 导出的配置是 `BertOnnxConfig`。由于许多架构在 ONNX 配置上共享相似的属性，🤗 Optimum 采用了 3 级类层次结构抽象和通用的基类。这些类处理所有基本功能，同时与模态（文本、图像、音频等）无关。中端类。 🤗 Optimum provides support for the ONNX export by leveraging configuration objects. safetensors file I was trying to use the local_path option and therefore account for all the files (tokens etc…) to produce the ONNX but it asks for task (this is why I have added the --task option but as there is no task for text While my direct expertise in the internal workings of the Optimum library for ONNX export is limited, I am willing to contribute by: Testing: Thoroughly testing any implementation of this feature on various transformer models. 将 Qwen2 0. 5 B - Instruct \ -- task=text - generation \ -- opset= 1 8 \ -- trust - remote - code \ -- dtype=float 1 6 \ onnx_model/ ``` **方法2：使用` -- device`参数指定设备（可选）** 如果模型很大 If for any purpose you would like to disable the export with past keys/values reuse, passing explicitly to optimum-cli export onnx the task text2text-generation, text-generation or automatic-speech-recognition is required. Exporting a model to ONNX using the CLI To export a 🤗 Transformers or 🤗 The easiest way to use TensorRT as the execution provider for models optimized through 🤗 Optimum is with the available ONNX Runtime TensorrtExecutionProvider. If you want to export the pipeline in the ONNX format offline and later use it for inference, you can use the optimum-cli export command: Copied optimum-cli export onnx --model runwayml/stable-diffusion-v1-5 sd_v15_onnx/ Then perform inference: Copied If for any purpose you would like to disable the export with past keys/values reuse, passing explicitly to optimum-cli export onnx the task text2text-generation, text-generation or automatic-speech-recognition is required. 6B大模型移植到高通骁龙NPU的完整流程。主要内容包括：1）从LLaMA-Factory导出微调模型；2）将safetensors格式转换为PyTorch权重再导出为ONNX；3）针对高通NPU进行关键优化（Opset版本、静态形状、模型简化）；4）使用高通QNN工具链将 Using optimum-cli: The command-line tool failed with unrecognized arguments and ValueErrors. I hope this helps. 1 day ago · 文章浏览阅读25次。本文介绍了基于星图GPU平台自动化部署🧠 BAAI/bge-m3 语义相似度分析引擎的完整实践，聚焦高并发场景下的系统架构设计。通过模型量化、批处理调度与Redis缓存优化，实现CPU环境毫秒级响应，适用于RAG知识库召回、多语言文档去重等AI应用开发场景，显著提升语义匹配精度与服务 pip install optimum optimum-cli export onnx --model . Export onnx model from Llama-2-7b-hf torch model: This example describes how to quantize an opt-125m model using the ONNX quantizer of Quark. Exporting a model to ONNX using the CLI To export a 🤗 Transformers or 🤗 Apr 2, 2025 · 3. The Llama2 models checkpoint can be accessed by submitting a permission request to Meta. export gibberish text Let’s write an export_to_onnx function which will load the tokenizer & model, and export it into ONNX format: import torch from composer.

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Optimum Cli Export Onnx. In this guide, we’ll show you how to export these models to ONNX