Librarian Bot: Add base_model information to model

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

@@ -1,8 +1,6 @@
 ---
-library_name: peft
 license: apache-2.0
-datasets:
-- iamtarun/python_code_instructions_18k_alpaca
+library_name: peft
 tags:
 - falcon
 - falcon-7b
@@ -15,6 +13,9 @@ tags:
 - copilot
 - python coding assistant
 - coding assistant
+datasets:
+- iamtarun/python_code_instructions_18k_alpaca
+base_model: tiiuae/falcon-7b
 ---
 ## Training procedure
 We finetuned Falcon-7B LLM on Python-Code-Instructions Dataset ([iamtarun/python_code_instructions_18k_alpaca](https://huggingface.co/datasets/iamtarun/python_code_instructions_18k_alpaca)) for 10 epochs or ~ 23,000 steps using [MonsterAPI](https://monsterapi.ai) no-code [LLM finetuner](https://docs.monsterapi.ai/fine-tune-a-large-language-model-llm).