mlcommons / mlcommons/endpoints

Proposal: Include mapping to the official inference model name in config.yaml

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area: config-cli priority: P2 type: feature
Dominant language
Python
Stars
21
Forks
28
Avg merge
3d 17h
Merged PRs (30d)
13

Description

I was reviewing the example YAML for GPT-OSS here. think it would be beneficial to add an additional field under model_params, such as maps to explicitly map the model to its official name used by the submission checker and LoadGen.

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Research direction

Start with examples/04_GPTOSS120B_Example/gptoss_120b_example.yaml and inspect the model_params section. Trace how the example configuration is read by the submission checker and LoadGen, then define and document the official model-name mapping and verify that both consumers use it correctly.

Written by the indexing model from the issue text.

Assessment

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

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