Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`meta-llama/Llama-2-7b-hf`](https://huggingface.co/meta-llama/Llama-2-7b-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

@@ -1,25 +1,27 @@
 ---
+language:
+- en
+license: apache-2.0
 library_name: peft
 tags:
-  - text-generation
-license: apache-2.0
-language:
-  - en
+- text-generation
 widget:
-  - text: >
-      Below is an instruction that describes a task, paired with an input that
-      provides further context. Write a response that appropriately completes
-      the request.
+- text: 'Below is an instruction that describes a task, paired with an input that
+    provides further context. Write a response that appropriately completes the request.
+
+    ### Instruction: Generate an SQL statement to add a row in the customers table
+    where the columns are name, address, and city.
 
-      ### Instruction: Generate an SQL statement to add a row in the customers table where the columns are name, address, and city.
+    ### Input: name = John, address = 123 Main Street, city = Winter Park
 
-      ### Input: name = John, address = 123 Main Street, city = Winter Park
+    ### Response:
 
-      ### Response:
+    '
 inference:
   parameters:
     temperature: 0.1
     max_new_tokens: 1024
+base_model: meta-llama/Llama-2-7b-hf
 ---
 # QLoRA weights using Llama-2-7b for the Code Alpaca Dataset