Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`chargoddard/llama2-22b-blocktriangular`](https://huggingface.co/chargoddard/llama2-22b-blocktriangular) 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 @@
 ---
 library_name: peft
+tags:
+- llama
 datasets:
 - jondurbin/airoboros-gpt4-1.4.1
 - ehartford/wizard_vicuna_70k_unfiltered
 - ehartford/WizardLM_evol_instruct_V2_196k_unfiltered_merged_split
 - openai/summarize_from_feedback
 - ehartford/dolphin
-tags:
-- llama
+base_model: chargoddard/llama2-22b-blocktriangular
 ---
 
 Trained for instruction-following, roleplay, and chat on a patchwork of datasets to match the [base model](https://huggingface.co/chargoddard/llama2-22b-blocktriangular). Uses the following prompt format: