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

# Model Card for Model ID

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

- **shrinking the layers of llama-3-8b to only 2 layers of transformer decoder** 
- **adding a customized layer to llama attention**
- **shrinking the total param size to around 2b... so pathetic** 😢😢😢

The purpose of this model is to show how you can download a pre-trained llama and customize it... however you want... and then re-train it with... whatever you want... and then upload your model to hugging face 🤗

However, of course, if you want to use this model properly, you have to not only download it with LlamaForCausalLM but also to use the following code in .ipynb to build the same customized layer and merge the huggingface safetensor to each parameter:

- **here:** https://github.com/Brownwang0426/Cullama


## Model Details

### Model Description

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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

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### Model Sources [optional]

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## Uses

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### Direct Use

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### Out-of-Scope Use

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## Bias, Risks, and Limitations

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### Recommendations

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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

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## Training Details

### Training Data

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### Training Procedure

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#### Preprocessing [optional]

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#### Training Hyperparameters

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#### Speeds, Sizes, Times [optional]

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## Evaluation

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### Testing Data, Factors & Metrics

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#### Summary



## Model Examination [optional]

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## Environmental Impact

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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

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## Technical Specifications [optional]

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## Glossary [optional]

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