| --- |
| library_name: transformers |
| tags: |
| - OUAF |
| - Oracle |
| - 4GL |
| license: mit |
| language: |
| - en |
| base_model: |
| - meta-llama/Llama-3.2-1B-Instruct |
| --- |
| |
| ### Model Description |
|
|
| Generated 4GL Scripts from english prompts |
|
|
| - **Developed by:** Amith Sourya Sadineni |
| - **Model type:** Text Generation |
| - **Language(s):** Python |
| - **License:** MIT |
| - **Finetuned from model:** meta-llama/Llama-3.2-1B-Instruct |
|
|
| ### Model Sources [optional] |
|
|
| <!-- Provide the basic links for the model. --> |
|
|
| - **Repository:** https://huggingface.co/amithsourya/Script-Generate-4GL-V1.0/blob/main/adapter_model.safetensors |
| - **Demo:** https://colab.research.google.com/drive/1wdveoznPyiKrb-kZ4gTRRMpq82Qih8Z_?usp=sharing#scrollTo=N40paBum-cc7 |
|
|
|
|
| ## Environmental Impact |
|
|
| <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> |
|
|
| 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). |
|
|
| - **Hardware Type:** T4 GPU |
| - **Hours used:** 0H:23M |
|
|
