Librarian Bot: Add moe tag to model

This pull request aims to enrich the metadata of your model by adding an `moe` (Mixture of Experts) `tag` in the `YAML` block of your model's `README.md`.

How did we find this information? We infered that this model is a `moe` model based on the following criteria:

- The model's name contains the string `moe`.
- The model indicates it uses a `moe` architecture
- The model's base model is a `moe` model


**Why add this?** Enhancing your model's metadata in this way:
- **Boosts Discoverability** - It becomes easier to find mixture of experts models on the Hub
- **Helping understand the ecosystem** - It becomes easier to understand the ecosystem of mixture of experts models on the Hub and how they are used


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

.

README.md

@@ -1,13 +1,15 @@
 ---
-license: apache-2.0
 language:
 - fr
 - it
 - de
 - es
 - en
-inference: false
+license: apache-2.0
 library_name: mlx
+tags:
+- moe
+inference: false
 ---
 # Model Card for Mixtral-8x7B
 The Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts. The Mixtral-8x7B outperforms Llama 2 70B on most benchmarks we tested.