Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`meta-llama/Llama-2-70b-chat-hf`](https://huggingface.co./meta-llama/Llama-2-70b-chat-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

@@ -1,16 +1,17 @@
 ---
-library_name: peft
-license: llama2
 language:
 - ja
-pipeline_tag: text-generation
-inference: false
+license: llama2
+library_name: peft
 tags:
 - llama-2
 - pytorch
 - facebook
 - meta
 - text-generation-inference
+pipeline_tag: text-generation
+inference: false
+base_model: meta-llama/Llama-2-70b-chat-hf
 ---
 # doshisha-mil/llama-2-70b-chat-4bit-japanese-v1