Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`EleutherAI/gpt-j-6B`](https://huggingface.co/EleutherAI/gpt-j-6B) as a `base_model` field, situated in the `YAML` block of your model's `README.md`.

How did we find this information? We extracted this infromation from the `adapter_config.json` file of your model.

**Why add this?** Enhancing your model's metadata in this way:
- **Boosts Discoverability** - It becomes straightforward to trace the relationships between various models on the Hugging Face Hub.
- **Highlights Impact** - It showcases the contributions and influences different models have within the community.

For a hands-on example of how such metadata can play a pivotal role in mapping model connections, take a look at [librarian-bots/base_model_explorer](https://huggingface.co/spaces/librarian-bots/base_model_explorer).

This PR comes courtesy of [Librarian Bot](https://huggingface.co/librarian-bot). If you have any feedback, queries, or need assistance, please don't hesitate to reach out to [@davanstrien](https://huggingface.co/davanstrien).

If you want to automatically add `base_model` metadata to more of your modes you can use the [Librarian Bot](https://huggingface.co/librarian-bot) [Metadata Request Service](https://huggingface.co/spaces/librarian-bots/metadata_request_service)!

README.md

@@ -1,13 +1,14 @@
 ---
-license: openrail
 language:
 - en
+license: openrail
 tags:
 - peft
 - lora
 - gpt-j
 - instruct
 - alpaca
+base_model: EleutherAI/gpt-j-6B
 ---
 This is a base instruct model without any chat finetuning or reinforcement learning to mitigate safety concerns. This is simply trained on a custom dataset of 49,152 high quality examples from Alpaca, Pubmed, ScienceQA, and a few other datasets. Check out the "files and versions" tab of this repository for an example of inference, "Instruct_GPT_J_Gradio_Demo.ipynb"