---
library_name: transformers
tags: []
---

# Model Card for Model ID

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



## Model Details

### Model Description

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

This model is a quantized and fine-tuned version of gemma-2b-it instruction model

- **Developed by:** Core&Outline
- **Finetuned from model google/gemma-2b-it:** [More Information Needed]

### Model Sources [optional]

<!-- Provide the basic links for the model. -->

- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]

## Uses

To use this model via inference API or otherwise please ensure to follow the Google formatting. Ensure that your prompt is preceeded with <bos><start_of_turn>user {{prompt}} <end_of_turn><start_of_turn> model



### Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

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.

[More Information Needed]

## Training Details

### Training Data

Fine tuning was done using an internal dataset here: https://huggingface.co/datasets/core-outline/llama-2-7b-chat-hf

[More Information Needed]

### Training Procedure 

Training was done manually on an NVIDIA-T4 instance. Find the code to the training procedure here: https://github.com/Core-Outline/core-transformer-network/blob/master/GemmaFineTuning.ipynb