| # Intel® Gaudi® AI Accelerator Examples for Training and Inference | |
| - [Intel® Gaudi® AI Accelerator Examples for Training and Inference](#intel-gaudi-ai-accelerator-examples-for-training-and-inference) | |
| - [Model List and Performance Data](#model-list-and-performance-data) | |
| - [Computer Vision](#computer-vision) | |
| - [Natural Language Processing](#natural-language-processing) | |
| - [Audio](#audio) | |
| - [Generative Models](#generative-models) | |
| - [MLPerf™ Training 3.1](#mlperf-training-31) | |
| - [MLPerf™ Inference 3.1](#mlperf-inference-31) | |
| - [Reporting Bugs/Feature Requests](#reporting-bugsfeature-requests) | |
| - [Community](#community) | |
| - [Hugging Face](#hugging-face) | |
| - [Fairseq](#fairseq) | |
| ## Model List and Performance Data | |
| Please visit [this page](https://developer.habana.ai/resources/habana-training-models/#performance) for performance information. | |
| This repository is a collection of models that have been ported to run on Intel®️ Gaudi®️ AI accelerator. They are intended as examples, and will be reasonably optimized for performance while still being easy to read. | |
| ## Computer Vision | |
| | Models | Framework | Validated on Gaudi | Validated on Gaudi2 | | |
| | ---------------------------------------------------------------------------------- | ----------------- | ------------------- | ------------------- | | |
| | [ResNet50, ResNeXt101](PyTorch/computer_vision/classification/torchvision) | PyTorch | Training | Training, Inference | | |
| | [ResNet50 for PyTorch Lightning](PyTorch/computer_vision/classification/lightning) | PyTorch Lightning | Training | Training | | |
| | [ResNet152](PyTorch/computer_vision/classification/torchvision) | PyTorch | Training | - | | |
| | [MobileNetV2](PyTorch/computer_vision/classification/torchvision) | PyTorch | Training | - | | |
| | [UNet 2D, Unet3D](PyTorch/computer_vision/segmentation/Unet) | PyTorch Lightning | Training, Inference | Training, Inference | | |
| | [SSD](PyTorch/computer_vision/detection/mlcommons/SSD/ssd) | PyTorch | Training | Training | | |
| | [GoogLeNet](PyTorch/computer_vision/classification/torchvision) | PyTorch | Training | - | | |
| | [Vision Transformer](PyTorch/computer_vision/classification/ViT) | PyTorch | Training | - | | |
| | [DINO](PyTorch/computer_vision/classification/dino) | PyTorch | Training | - | | |
| | [YOLOX](PyTorch/computer_vision/detection/yolox) | PyTorch | Training | - | | |
| | [ResNet50 Keras](TensorFlow/computer_vision/Resnets/resnet_keras) | TensorFlow | Training | Training | | |
| | [ResNeXt101](TensorFlow/computer_vision/Resnets/ResNeXt) | TensorFlow | Training | Training | | |
| | [SSD](TensorFlow/computer_vision/SSD_ResNet34) | TensorFlow | Training | Training | | |
| | [Mask R-CNN](TensorFlow/computer_vision/maskrcnn) | TensorFlow | Training | Training | | |
| | [UNet 2D](TensorFlow/computer_vision/Unet2D) | TensorFlow | Training | Training | | |
| | [UNet 3D](TensorFlow/computer_vision/UNet3D) | TensorFlow | Training | Training | | |
| | [DenseNet](TensorFlow/computer_vision/densenet) | TensorFlow | Training | - | | |
| | [Vision Transformer](TensorFlow/computer_vision/VisionTransformer) | TensorFlow | Training | - | | |
| ## Natural Language Processing | |
| | Models | Framework | Validated on Gaudi | Validated on Gaudi2 | | |
| |------------------------------------------------------------------------------------| ---------- | ------------------- | ------------------- | | |
| | [BERT Pretraining and Finetuning](PyTorch/nlp/bert) | PyTorch | Training, Inference | Training, Inference | | |
| | [DeepSpeed BERT-1.5B, BERT-5B](PyTorch/nlp/DeepSpeedExamples/deepspeed-bert) | PyTorch | Training | - | | |
| | [BART](PyTorch/nlp/BART/simpletransformers) | PyTorch | Training | - | | |
| | [HuggingFace BLOOM](PyTorch/nlp/bloom) | PyTorch | Inference | Inference | | |
| | [Megatron-DeepSpeed BLOOM 13B](PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed) | PyTorch | - | Training | | |
| | [Megatron-DeepSpeed LLaMA 13B](PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed) | PyTorch | - | Training | | |
| | [Megatron-DeepSpeed LLaMA 2 70B](PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed) | PyTorch | - | Training | | |
| | [BERT](TensorFlow/nlp/bert) | TensorFlow | Training | Training | | |
| | [Transformer](TensorFlow/nlp/transformer) | TensorFlow | Training | Training | | |
| ## Audio | |
| | Models | Framework | Validated on Gaudi | Validated on Gaudi2 | | |
| | -------------------------------------------------- | --------- | ------------------ | ------------------- | | |
| | [Wav2Vec2ForCTC](PyTorch/audio/wav2vec2/inference) | PyTorch | Inference | Inference | | |
| ## Generative Models | |
| | Models | Framework | Validated on Gaudi | Validated on Gaudi2 | | |
| | ------------------------------------------------------------------------------------ | ----------------- | ------------------- | ------------------- | | |
| | [Stable Diffusion](PyTorch/generative_models/stable-diffusion) | PyTorch Lightning | Training, Inference | Training, Inference | | |
| | [Stable Diffusion FineTuning](PyTorch/generative_models/stable-diffusion-finetuning) | PyTorch | Training | Training | | |
| | [Stable Diffusion v2.1](PyTorch/generative_models/stable-diffusion-v-2-1) | PyTorch | Inference | Inference | | |
| ## MLPerf™ Training 3.1 | |
| | Models | Framework | Validated on Gaudi | Validated on Gaudi2 | | |
| | --------------------------------------- | ---------- | ------------------ | ------------------- | | |
| | [GPT3](MLPERF3.1/Training/benchmarks) | PyTorch | - | Training | | |
| | [ResNet50](MLPERF3.1/Training/benchmarks) | PyTorch | - | Training | | |
| | [BERT](MLPERF3.1/Training/benchmarks) | PyTorch | - | Training | | |
| | [ResNet50](MLPERF3.1/Training/benchmarks) | TensorFlow | - | Training | | |
| | [BERT](MLPERF3.1/Training/benchmarks) | TensorFlow | - | Training | | |
| ## MLPerf™ Inference 3.1 | |
| | Models | Framework | Validated on Gaudi | Validated on Gaudi2 | | |
| | --------------------------------------- | ---------- | ------------------ | ------------------- | | |
| | [GPT-J](MLPERF3.1/Inference/code/gpt-j) | PyTorch | - | Inference | | |
| MLPerf™ is a trademark and service mark of MLCommons Association in the United States and other countries. All rights reserved. Unauthorized use is strictly prohibited. | |
| ## Reporting Bugs/Feature Requests | |
| We welcome you to use the [GitHub issue tracker](https://github.com/HabanaAI/Model-References/issues) to report bugs or suggest features. | |
| When filing an issue, please check existing open, or recently closed, issues to make sure somebody else hasn't already | |
| reported the issue. Please try to include as much information as you can. Details like these are incredibly useful: | |
| * A reproducible test case or series of steps | |
| * The version of our code being used | |
| * Any modifications you've made relevant to the bug | |
| * Anything unusual about your environment or deployment | |
| # Community | |
| ## Hugging Face | |
| * [ALBERT Large](https://huggingface.co/Habana/albert-large-v2) | |
| * [ALBERT XXLarge](https://huggingface.co/Habana/albert-xxlarge-v1) | |
| * [BERT base](https://huggingface.co/Habana/bert-base-uncased) | |
| * [BERT large](https://huggingface.co/Habana/bert-large-uncased-whole-word-masking) | |
| * [DistilBERT](https://huggingface.co/Habana/distilbert-base-uncased) | |
| * [GPT2](https://huggingface.co/Habana/gpt2) | |
| * [RoBERTa](https://huggingface.co/Habana/roberta-base) | |
| * [RoBERTa large](https://huggingface.co/Habana/roberta-large) | |
| * [Swin Transformer](https://huggingface.co/Habana/swin) | |
| * [T5](https://huggingface.co/Habana/t5) | |
| * [Vision Transformer (ViT)](https://huggingface.co/Habana/vit) | |
| ## Fairseq | |
| * [Transformer](https://github.com/HabanaAI/fairseq) | |