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---
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
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