# Model Card for m4-80b Some cool model... # Table of Contents - [Model Card for m4-80b](#model-card-for--model_id-) - [Table of Contents](#table-of-contents) - [Model Details](#model-details) - [Model Description](#model-description) - [Uses](#uses) - [Direct Use](#direct-use) - [Downstream Use [Optional]](#downstream-use-optional) - [Out-of-Scope Use](#out-of-scope-use) - [Bias, Risks, and Limitations](#bias-risks-and-limitations) - [Recommendations](#recommendations) - [Training Details](#training-details) - [Training Data](#training-data) - [Training Procedure](#training-procedure) - [Preprocessing](#preprocessing) - [Speeds, Sizes, Times](#speeds-sizes-times) - [Evaluation](#evaluation) - [Testing Data, Factors & Metrics](#testing-data-factors--metrics) - [Testing Data](#testing-data) - [Factors](#factors) - [Metrics](#metrics) - [Results](#results) - [Model Examination](#model-examination) - [Environmental Impact](#environmental-impact) - [Technical Specifications [optional]](#technical-specifications-optional) - [Model Architecture and Objective](#model-architecture-and-objective) - [Compute Infrastructure](#compute-infrastructure) - [Hardware](#hardware) - [Software](#software) - [Citation](#citation) - [Glossary [optional]](#glossary-optional) - [More Information [optional]](#more-information-optional) - [Model Card Authors [optional]](#model-card-authors-optional) - [Model Card Contact](#model-card-contact) - [How to Get Started with the Model](#how-to-get-started-with-the-model) # Model Details ## Model Description Some cool model... - **Developed by:** HuggingFace - **Model type:** Multi-modal model (text+image) - **Language(s) (NLP):** en - **License:** apache-2.0 - **Parent Model:** [laion/CLIP-ViT-H-14-laion2B-s32B-b79K](https://huggingface.co/laion/CLIP-ViT-H-14-laion2B-s32B-b79K) and [huggingface/llama-65b](https://huggingface.co/huggingface/llama-65b) - **Resources for more information:** More information needed - [GitHub Repo](https://github.com/huggingface/m4/) - Associated Paper: [Flamingo: a Visual Language Model for Few-Shot Learning](https://arxiv.org/abs/2204.14198) # Uses ## Direct Use ## Downstream Use [Optional] ## Out-of-Scope Use # Bias, Risks, and Limitations Significant research has explored bias and fairness issues with language models (see, e.g., [Sheng et al. (2021)](https://aclanthology.org/2021.acl-long.330.pdf) and [Bender et al. (2021)](https://dl.acm.org/doi/pdf/10.1145/3442188.3445922)). Predictions generated by the model may include disturbing and harmful stereotypes across protected classes; identity characteristics; and sensitive, social, and occupational groups. ## Recommendations # Training Details ## Training Data More information on training data needed ## Training Procedure ### Preprocessing More information needed ### Speeds, Sizes, Times More information needed # Evaluation ## Testing Data, Factors & Metrics ### Testing Data More information needed ### Factors More information needed ### Metrics More information needed ## Results More information needed # Model Examination More information needed # Environmental Impact Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** 64 nodes of 8x 80GB A100 gpus, EFA network - **Hours used:** ~672 node hours - **Cloud Provider:** AWS Sagemaker - **Carbon Emitted:** unknown # Technical Specifications [optional] ## Model Architecture and Objective More information needed ## Compute Infrastructure More information needed ### Hardware The training was performed on AWS SageMaker cluster with 64 nodes of 8x80GB A100 GPUs (512 GPUs total). The cluster uses the current EFA network which provides about 340GBps throughput. As the network is quite slow for the needs of DeepSpeed ZeRO-3 we were only able to clock ~90 TFLOPs. ### Software The training software is built on top of HuggingFace Transformers + Accelerate, and DeepSpeed ZeRO-3. Plus [WebDataset](https://github.com/webdataset/webdataset) for data loading. # Citation **BibTeX:** More information needed **APA:** More information needed # Glossary [optional] More information needed # More Information [optional] More information needed # Model Card Authors [optional] V, i, c, t, o, r, ,, , S, t, a, s, ,, , X, X, X # Model Card Contact More information needed # How to Get Started with the Model Use the code below to get started with the model.
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