mlcommons / mlcommons/modelbench

Add stand-in llama reference scores for security

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Dominant language
Python
Stars
134
Forks
36
Avg merge
1d 11h
Merged PRs (30d)
17

Description

This issue has no description.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

No files, tests, or entry points are named, and the issue body is empty. First locate how security benchmark reference scores are stored and consumed, then determine the expected stand-in Llama scores and validation path before defining what a complete change would include.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning, security
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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