---
license: mit
datasets:
- garage-bAInd/Open-Platypus
language:
- en
library_name: transformers
pipeline_tag: text-generation
---
# Model Card for Phi2-Platypus

<!-- Provide a quick summary of what the model is/does. -->

## Model Details

### Model Description

<!-- Provide a longer summary of what this model is. -->



- **Developed by:** [JJ]
- **Model type:** [SLM]
- **Language(s) (NLP):** [English]
- **Finetuned from model [optional]:** [microsoft/Phi-2]

## Uses

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Research Only



## Training Details

### Training Data

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[garage-bAInd/Open-Platypus] dataset is used for 4 Epochs

### Training Procedure 

<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->

[<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)


## Environmental Impact

<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->

- **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.]