[Test] Add nightly MoE eval tests

[bnellnm]

Purpose

Add eval tests for important models that can be run nightly. The -small.txt models run with <=2 GPUs, while the -large.txt models need > 2.

Test Plan

Ran it locally

Test Result

Model	Baseline
arcee-ai/Trinity-Mini	0.8408
deepseek-ai/DeepSeek-R1	0.9492
google/gemma-4-26B-A4B-it	0.3017
zai-org/GLM-4.7-Flash	0.8241
openai/gpt-oss-20b	0.3154
ibm-granite/granite-4.0-h-small	0.8400
ai21labs/AI21-Jamba2-Mini	0.7665
LiquidAI/LFM2.5-350M	0.2092
meta-llama/Llama-4-Scout-17B-16E-Instruct	TIMEOUT
MiniMaxAI/MiniMax-M2.7	0.9249
mistralai/Mixtral-8x7B-v0.1	0.5512
nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4	0.9295
allenai/OLMoE-1B-7B-0125-Instruct	0.6770
microsoft/Phi-tiny-MoE-instruct	0.7020
sarvamai/sarvam-30b	0.6588
stepfun-ai/Step-3.5-Flash	FAIL

Issues will be created for the failing tests.

---

Essential Elements of an Effective PR Description Checklist

• The purpose of the PR, such as "Fix some issue (link existing issues this PR will resolve)".
• The test plan, such as providing test command.
• The test results, such as pasting the results comparison before and after, or e2e results
• (Optional) The necessary documentation update, such as updating supported_models.md and examples for a new model.
• (Optional) Release notes update. If your change is user facing, please update the release notes draft in the Google Doc.

[gemini-code-assist]

Code Review

This pull request adds several new model configuration files for GSM8K evaluations and updates the nightly test lists. Several referenced configuration files are missing from the PR, including DeepSeek-R1-TP.yaml and those in the moe-refactor directory, which will cause CI failures. Additionally, the 120B parameter Nemotron model is incorrectly categorized in the small evaluation suite and should be moved to the large suite.

[robertgshaw2-redhat]

which job runs these?

[bnellnm]

which job runs these?

Good question. Is there a spot to add nightly tests?

[vadiklyutiy]

Just wondering on what GPU arch we are going to run it?

[bnellnm]

Just wondering on what GPU arch we are going to run it?

I was planning on H100 but we could run on other arches too.