Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`decapoda-research/llama-7b-hf`](https://huggingface.co/decapoda-research/llama-7b-hf) 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

@@ -1,12 +1,13 @@
 ---
 language:
-  - en
+- en
+license: apache-2.0
 library_name: peft
 tags:
-  - llama
-  - lora
-  - peft
-license: apache-2.0
+- llama
+- lora
+- peft
+base_model: decapoda-research/llama-7b-hf
 ---
 
 [Low-Rank-Adaption (LoRA)](https://paperswithcode.com/paper/lora-low-rank-adaptation-of-large-language) of [LLAMA 6B model](https://paperswithcode.com/paper/llama-open-and-efficient-foundation-language-1) that is fine-tuned with [Stanford Alpaca instruction dataset](https://github.com/tatsu-lab/stanford_alpaca) using [PEFT](https://github.com/huggingface/peft).