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rename leaderboard

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  1. README.md +2 -2
  2. src/about.py +2 -32
README.md CHANGED
@@ -1,5 +1,5 @@
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  ---
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- title: CRM Leaderboard
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  emoji: 🥇
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  colorFrom: green
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  colorTo: indigo
@@ -9,4 +9,4 @@ pinned: true
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  license: apache-2.0
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  ---
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- # Generative AI Leaderboard for CRM
 
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  ---
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+ title: LLM Leaderboard for CRM
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  emoji: 🥇
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  colorFrom: green
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  colorTo: indigo
 
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  license: apache-2.0
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  ---
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+ # LLM Leaderboard for CRM
src/about.py CHANGED
@@ -1,5 +1,5 @@
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  # Your leaderboard name
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- TITLE = """<h1 align="center" id="space-title">Generative AI Leaderboard for CRM</h1>
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  <h3>Assess which LLMs are accurate enough or need fine-tuning, and weigh this versus tradeoffs of speed, costs, and trust and safety. This is based on human manual and automated evaluation with real operational CRM data per use case.</h3>
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  """
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@@ -26,41 +26,11 @@ LLM_BENCHMARKS_TEXT = """
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  13) Cost per request for self-hosted models assume a minimal frequency of calling the model, since the costs are per hour. All latencies / cost assume a single user at a time.
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  """
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- EVALUATION_QUEUE_TEXT = """
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- ## Some good practices before submitting a model
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-
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- ### 1) Make sure you can load your model and tokenizer using AutoClasses:
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- ```python
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- from transformers import AutoConfig, AutoModel, AutoTokenizer
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- config = AutoConfig.from_pretrained("your model name", revision=revision)
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- model = AutoModel.from_pretrained("your model name", revision=revision)
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- tokenizer = AutoTokenizer.from_pretrained("your model name", revision=revision)
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- ```
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- If this step fails, follow the error messages to debug your model before submitting it. It's likely your model has been improperly uploaded.
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-
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- Note: make sure your model is public!
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- 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!
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-
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- ### 2) Convert your model weights to [safetensors](https://huggingface.co/docs/safetensors/index)
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- 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`!
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-
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- ### 3) Make sure your model has an open license!
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- This is a leaderboard for Open LLMs, and we'd love for as many people as possible to know they can use your model 🤗
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-
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- ### 4) Fill up your model card
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- When we add extra information about models to the leaderboard, it will be automatically taken from the model card
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-
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- ## In case of model failure
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- If your model is displayed in the `FAILED` category, its execution stopped.
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- Make sure you have followed the above steps first.
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- 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).
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- """
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-
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  CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
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  CITATION_BUTTON_TEXT = r"""
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  @misc{crm-llm-leaderboard,
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  author = {Salesforce AI},
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- title = {Generative AI Leaderboard for CRM},
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  year = {2024},
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  publisher = {Salesforce AI},
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  howpublished = "\url{https://https://huggingface.co/spaces/Salesforce/crm_llm_leaderboard}"
 
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  # Your leaderboard name
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+ TITLE = """<h1 align="center" id="space-title">LLM Leaderboard for CRM</h1>
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  <h3>Assess which LLMs are accurate enough or need fine-tuning, and weigh this versus tradeoffs of speed, costs, and trust and safety. This is based on human manual and automated evaluation with real operational CRM data per use case.</h3>
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  """
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  13) Cost per request for self-hosted models assume a minimal frequency of calling the model, since the costs are per hour. All latencies / cost assume a single user at a time.
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  """
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  CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
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  CITATION_BUTTON_TEXT = r"""
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  @misc{crm-llm-leaderboard,
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  author = {Salesforce AI},
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+ title = {LLM Leaderboard for CRM},
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  year = {2024},
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  publisher = {Salesforce AI},
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  howpublished = "\url{https://https://huggingface.co/spaces/Salesforce/crm_llm_leaderboard}"