mlcommons / mlcommons/inference

llama3: performance_sample_count update

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Dominant language
Python
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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

Open tools/submission/submission_checker.py at the linked line and inspect how performance_sample_count is defined for llama3. Verify whether the official 405b dataset length is 8313, then update the value if confirmed. Done means the checker uses the correct sample count.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Bug
Difficulty
2/5
Estimated time
1-3 hours
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
45/100

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