Fix the guide

src/about.py

@@ -54,34 +54,9 @@ A guide for running the above tasks using EleutherAi's lm-evaluation-harness is
 EVALUATION_QUEUE_TEXT = """
 Note: The evaluation suite is only able to run on models available via the Hugging Face Serverless Inference API.
 
-## Some good practices before submitting a model
-
-### 1) Make sure you can load your model and tokenizer using AutoClasses:
-```python
-from transformers import AutoConfig, AutoModel, AutoTokenizer
-config = AutoConfig.from_pretrained("your model name", revision="main")
-model = AutoModel.from_pretrained("your model name", revision="main")
-tokenizer = AutoTokenizer.from_pretrained("your model name", revision="main")
-```
-If this step fails, follow the error messages to debug your model before submitting it. It's likely your model has been improperly uploaded.
-
-Note: make sure your model is public!
-Note: if your model needs `use_remote_code=True`, we do not support this option yet but we are working on adding it, stay posted!
-Note: The evals in this repo require large context windows. 
-
-### 2) Convert your model weights to [safetensors](https://huggingface.co/docs/safetensors/index)
-It's a new format for storing weights which is safer and faster to load and use. It will also allow us to add the number of parameters of your model to the `Extended Viewer`!
-
-### 3) Make sure your model has an open license!
-This is a leaderboard for Open LLMs, and we'd love for as many people as possible to know they can use your model 🤗
-
-### 4) Fill up your model card
-When we add extra information about models to the leaderboard, it will be automatically taken from the model card
-
 ## In case of model failure
 If your model is displayed in the `FAILED` category, its execution stopped.
-Make sure you have followed the above steps first.
-If everything is done, check you can launch the EleutherAIHarness on your model locally, using the above command without modifications (you can add `--limit` to limit the number of examples per task). A guide for running the Aiera's tasks using EleutherAi's lm-evaluation-harness is avaliable on github at [https://github.com/aiera-inc/aiera-benchmark-tasks](https://github.com/aiera-inc/aiera-benchmark-tasks).
+Check you can launch the EleutherAIHarness on your model locally using the guide avaliable on github at [https://github.com/aiera-inc/aiera-benchmark-tasks](https://github.com/aiera-inc/aiera-benchmark-tasks).
 
 """