| --- |
| license: cc-by-4.0 |
| language: |
| - en |
| base_model: |
| - Aobangaming/Aoban1.1A-Refined |
| new_version: Aobangaming/Aoban1.1A-Refined |
| pipeline_tag: text-generation |
| tags: |
| - model |
| - text-generation |
| --- |
| # Model Card for Model ID |
|
|
| A simple model developed by AobanCorp™ partially using Google's Gemini for assistance, with a small token window of 32. |
| This model utilizes 4 attention heads, 256 dimensions, and 6 attention layers. |
|
|
| ALTERNATIVE: |
| https://huggingface.co/Aobangaming/lightning-30m-ft |
|
|
| This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1). |
|
|
| ## Model Details |
|
|
| ### Model Description |
|
|
| A simple model developed by AobanCorp™ partially using Google's Gemini for assistance, with a small token window of 32. |
| This model utilizes 4 attention heads, 256 dimensions, and 6 attention layers. It is built on the Tranformer architecture, and uses "grammatical |
| corrections" to provide grammatically accurate responses. |
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|
| - **Developed by:** AobanCorp™ |
| - **Funded by [optional]:** [More Information Needed] |
| - **Shared by [optional]:** [More Information Needed] |
| - **Model type:** Tranformer |
| - **Language(s) (NLP):** English |
| - **License:** Creative Commons 4.0 |
| - **Finetuned from model [optional]:** Aoban 1-Refined |
|
|
| ### Model Sources [optional] |
|
|
| <!-- Provide the basic links for the model. --> |
|
|
| - **Repository:** https://github.com/AobanZ-MinecraftYoutuber/Aoban-1.1A-Refined |
| - **Paper [optional]:** [More Information Needed] |
| - **Demo [optional]:** [More Information Needed] |
|
|
| ## Uses |
|
|
| This model is only effective at small sentences and is not recommended for essays and larger stories. |
|
|
| ### Direct Use |
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| You can use the model freely for direct use. |
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| ### Downstream Use [optional] |
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| You can use the model freely for downstream use. |
|
|
| ### Out-of-Scope Use |
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| The model is not effective at essays and complicated words. It is not recommended to have more than 16-20 words in your |
| prompt for consistency, but the token window expands to 32 max. |
|
|
| [More Information Needed] |
|
|
| ## Bias, Risks, and Limitations |
|
|
| <!-- This section is meant to convey both technical and sociotechnical limitations. --> |
|
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| [More Information Needed] |
|
|
| ### Recommendations |
|
|
| <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> |
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| Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. |
|
|
| ## How to Get Started with the Model |
|
|
| Use the code below to get started with the model. |
|
|
| https://github.com/AobanZ-MinecraftYoutuber/Aoban-1.1A-Refined |
|
|
| ## Training Details |
|
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| The model is trained on over 500 sentences, varying differently. |
|
|
| ### Training Data |
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| [More Information Needed] |
|
|
| ### Training Procedure |
|
|
| <!-- 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 [optional] |
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| [More Information Needed] |
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|
|
| #### Training Hyperparameters |
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| - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> |
|
|
| #### Speeds, Sizes, Times [optional] |
|
|
| <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> |
|
|
| [More Information Needed] |
|
|
| ## Evaluation |
|
|
| <!-- This section describes the evaluation protocols and provides the results. --> |
|
|
| ### Testing Data, Factors & Metrics |
|
|
| #### Testing Data |
|
|
| <!-- This should link to a Dataset Card if possible. --> |
|
|
| [More Information Needed] |
|
|
| #### Factors |
|
|
| <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> |
|
|
| [More Information Needed] |
|
|
| #### Metrics |
|
|
| <!-- 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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| #### Summary |
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|
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| ## Model Examination [optional] |
|
|
| <!-- Relevant interpretability work for the model goes here --> |
|
|
| [More Information Needed] |
|
|
| ## Environmental Impact |
|
|
| <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> |
|
|
| 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:** GPU |
| - **Hours used:** Unmeasured |
| - **Cloud Provider:** Github |
| - **Compute Region:** [More Information Needed] |
| - **Carbon Emitted:** [More Information Needed] |
|
|
| ## Technical Specifications [optional] |
|
|
| ### Model Architecture and Objective |
|
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| The model is built on the transformer architecture and aims to be a learning goal for AI scientists hoping to learn |
| about transformers, and how they work. |
|
|
| ### 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 [optional] |
|
|
| <!-- 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] |
|
|
| <!-- 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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| [More Information Needed] |
|
|
| ## Model Card Contact |
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|
| [More Information Needed] |
