lm-sys / lm-sys/FastChat

Showing parameter counts in Chatbot Arena

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Python
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Description

I was wondering if parameter counts for open-source models could be listed in the Chatbot Arena table? As a user of open-source LLMs it would be super useful for knowing which model is the best for each type of deployment. Some deployments require 3B parameters while others can go up 70B, so I would love if I could quickly check the table for the latest state-of-the-art in each "weight class".

Right now the table looks like this:

Screenshot 2024-01-03 at 18 19 58

where the parameter counts are sometimes given in the model name, but I would love a separate column so I can sort on it!

(Sorry if this has already been posted elsewhere, I did a search and couldn't find it.)

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First steps

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  3. Fork the repository and make your change on a branch.
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Research direction

Start by locating the Chatbot Arena table implementation and the model metadata used to populate it. Check how existing columns are rendered and sorted, then verify that parameter counts appear as a separate sortable column for models where the information is available.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
ai, frontend
Issue type
Feature
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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