| | --- |
| | license: mit |
| | datasets: |
| | - garage-bAInd/Open-Platypus |
| | language: |
| | - en |
| | library_name: transformers |
| | pipeline_tag: text-generation |
| | --- |
| | # Model Card for Phi2-Platypus |
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| | <!-- Provide a quick summary of what the model is/does. --> |
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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. --> |
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| | - **Developed by:** [JJ] |
| | - **Model type:** [SLM] |
| | - **Language(s) (NLP):** [English] |
| | - **Finetuned from model [optional]:** [microsoft/Phi-2] |
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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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| | Research Only |
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| | ## Training Details |
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| | ### Training Data |
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| | <!-- This should link to a Dataset 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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| | [garage-bAInd/Open-Platypus] dataset is used for 4 Epochs |
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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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| | [<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
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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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| | - **Hardware Type:** [1 VM with 2 A10 GPUs] |
| | - **Hours used:** [20 Hours] |
| | - **Cloud Provider:** [Azure] |
| | - **Compute Region:** [South Central US] |
| | - **Carbon Emitted:** [Experiments were conducted using Azure in region southcentralus, which has a carbon efficiency of 0.46 kgCO$_2$eq/kWh. A cumulative of 20 hours of computation was performed on hardware of type NVIDIA A10.Total emissions are estimated to be 2.3 kgCO$_2$eq of which 100 percents were directly offset by the cloud provider.] |
