|
--- |
|
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 |
|
|
|
|
|
|
