| ---
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| license: apache-2.0
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| language:
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| - en
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| - zh
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| pipeline_tag: text-generation
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| library_name: transformers
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| ---
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| |
| # Model Card for QWERTY |
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| <!-- Provide a quick summary of what the model is/does. [Optional] --> |
| Go Wider and Deeper (and Faster and Lower and MoE...er?) |
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| QWERTY (QWen Experts in low Rank with Tiny cache and speculative Yeets) is a Qwen-2.5-based Mixture of Experts (MoE) model leveraging speculative decoding, with all linear modules converted to low-rank approximations. |
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| # Table of Contents |
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| - [Model Card for QWERTY](#model-card-for--model_id-) |
| - [Table of Contents](#table-of-contents) |
| - [Table of Contents](#table-of-contents-1) |
| - [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) |
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| # Model Details |
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| ## Model Description |
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| <!-- Provide a longer summary of what this model is/does. --> |
| Go Wider and Deeper (and Faster and Lower and MoE...er?) |
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| QWERTY (QWen Experts in low Rank with Tiny cache and speculative Yeets) is a Qwen-2.5-based Mixture of Experts (MoE) model leveraging speculative decoding, with all linear modules converted to low-rank approximations. |
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| - **Developed by:** 🧪🖌🪄 |
| - **Shared by [Optional]:** More information needed |
| - **Model type:** Language model |
| - **Language(s) (NLP):** mul |
| - **License:** apache-2.0 |
| - **Parent Model:** More information needed |
| - **Resources for more information:** More information needed |
| - [GitHub Repo](https://github.com/ScienceArtMagic/QWERTY) |
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| # Uses |
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| <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> |
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| ## Direct Use |
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| <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> |
| <!-- If the user enters content, print that. If not, but they enter a task in the list, use that. If neither, say "more info needed." --> |
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| ## Downstream Use [Optional] |
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| <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> |
| <!-- If the user enters content, print that. If not, but they enter a task in the list, use that. If neither, say "more info needed." --> |
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| ## Out-of-Scope Use |
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| <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> |
| <!-- If the user enters content, print that. If not, but they enter a task in the list, use that. If neither, say "more info needed." --> |
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| # Bias, Risks, and Limitations |
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| <!-- This section is meant to convey both technical and sociotechnical limitations. --> |
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| 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. |
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| ## Recommendations |
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| <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> |
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| # Training Details |
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| ## Training Data |
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| <!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> |
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| More information on training data needed |
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| ## Training Procedure |
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| <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> |
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| ### Preprocessing |
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| More information needed |
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| ### Speeds, Sizes, Times |
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| <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> |
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| More information needed |
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| # Evaluation |
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| <!-- This section describes the evaluation protocols and provides the results. --> |
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| ## Testing Data, Factors & Metrics |
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| ### Testing Data |
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| <!-- This should link to a Data Card if possible. --> |
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| More information needed |
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| ### Factors |
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| <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> |
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| More information needed |
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| ### Metrics |
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| <!-- These are the evaluation metrics being used, ideally with a description of why. --> |
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| More information needed |
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| ## Results |
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| More information needed |
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| # Model Examination |
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| More information needed |
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| # Environmental Impact |
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| <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> |
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| 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). |
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| - **Hardware Type:** More information needed |
| - **Hours used:** More information needed |
| - **Cloud Provider:** More information needed |
| - **Compute Region:** More information needed |
| - **Carbon Emitted:** More information needed |
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| # Technical Specifications [optional] |
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| ## Model Architecture and Objective |
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| More information needed |
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| ## Compute Infrastructure |
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| More information needed |
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| ### Hardware |
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| More information needed |
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| ### Software |
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| More information needed |
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| # Citation |
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| <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> |
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| **BibTeX:** |
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| More information needed |
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| **APA:** |
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| More information needed |
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| # Glossary [optional] |
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| <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> |
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| More information needed |
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| # More Information [optional] |
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| More information needed |
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| # Model Card Authors [optional] |
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| <!-- This section provides another layer of transparency and accountability. Whose views is this model card representing? How many voices were included in its construction? Etc. --> |
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| 🧪🖌🪄 |
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| # Model Card Contact |
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| https://ScienceArtMagic.bsky.social |
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| # How to Get Started with the Model |
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| Use the code below to get started with the model. |
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| <details> |
| <summary> Click to expand </summary> |
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| # ⚠️ Type of model unknown |
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| </details> |
